Need for Media Profiles Lists? Unilever agrees.

[click to read article]

[Source and credits: AdAge]

On Monday, we wrote:

Media profiles are key to Business Intelligence and Advertising.

Unilever launches “Trusted Publisher” list.

AdAge writes: “Unilever is launching a Trusted Publishers network that goes beyond the standard audience-verification, anti-fraud and brand-safety guidelines of most marketer ‘whitelists.'”

“Both the publishers and the criteria will be continuously re-assessed”

“We’re aiming to have as many publishers as possible, but they need to go through these selection criteria,” DiComo says. Both the publishers and the criteria will be continuously re-assessed, he says, “because the space is moving so quickly.”

Unilever’s initiative is logic.

Knowing: 4 in 10 brands deliver ads on unsafe sites – Cision

Consequently: 70% implement black or white lists…

… but 64% fear negative impacts on performance.  71% fear to not achieve reach while delivering to the right audience in the right context. – Cision & Digiday

Consequently, the solution is to:

1/ Have marketers define their white lists themselves for each campaign, each brand. And align in each country.

2/ Have those lists automatically built, maintained and updated, directly serving the trading desk.

Bottom line: Keep your Brand Safe, let TrustedOut manage your white lists.

Watch a demo.

Contact us:

 

 

Media profiles are key to Business Intelligence and Advertising.

Example of a taxonomy DNA: BHG.com
Mouse over to zoom

Click to zoom

Media profiling:
Collection and Classification.

TrustedOut profiles media via data collection to gather intangible data and content classification to evaluate expertise and perception.

Data collection.

From a domain, here for our example, bhg.com, TrustedOut will collect a lot of intangible data such as: its name: Better Homes and Gardens, the owner, here, Meredith Corporation, the organization type, here it’s a Private company, find if content orientations are declared, here, no political, no religious orientations, the online traffic, the revenue, the number of employees, etc, etc…

All those informations are important when defining what the analyst, the CMO, the ad agency, trust, and want to base intelligence, fully ensure brand safety, understand who’s receptive to a message, a promotion, etc…

Content classification.

Content classification is used primarily for our taxonomy and to understand how an information source is perceived, like “spotted as” fake news, junk science, conspiracy theory…

Here’s how it works:

Mouse over to zoom

Let’s have look at BHG.com’s taxonomy.

As described above, our AI-operated taxonomy permanently assesses where the site is good at, meaning non only, the subjects covered, but also, the level of expertise.

Another view of BHG.com’s taxonomy is below with the top classification level and a drill down on this top level, here: People.

Our taxonomy tells us BHG is Specialized in:

People
People › Entertainment And Leisure
People › Entertainment And Leisure › Gardening
People › Entertainment And Leisure › DIY (Do It Yourself)
People › Lifestyle
People › Lifestyle › Food And Beverage (yes! BHG has a recipes section)
People › Lifestyle › Decoration And Design And Architecture Specialized
People › Lifestyle › Home

and BHG covers the following:

People › Society › Family
People › Culture And Arts › Museum And Exhibition
People › Lifestyle › Feminine
People › Culture And Arts › Movies
People › Sports › Gymnastics And Fitness And Yoga
People › Sports › Horse Riding
People › Education › Preschool And Primary School
Sciences › Medicine And Health › Personal Health
Industries › Transportation › Bus

… and BHG has a Limited coverage in:

Sciences › Human Sciences › Sociology

Machine learning operates our Taxonomy and online perception to keep our database of media profiles, unbiased, universal and always up-to-date.

Importance for Business Intelligence:
No trust, no Intelligence.

Say you are in the food market and want to understand how some cuisine types are perceived amongst specialized publications in America:

To feed your intelligence tools, such as Digimind (demo here), your Corpus will look like this.

16,000+ sources (49k new articles abstracts a day) will ensure you analyze, and thus base your strategic decisions, on content you define.

Would you have thought Better Homes and Gardens would be part of your Corpus? At first, Home and Garden does not sound like Food and beverage specialist, does it? (well, if you are looking for Chicken recipes, it’s here).

This anecdote is to point out the need for both an unbiased and universal classification and a depth of expertise from the content you will base your decisions on.

It is critical you trust the right, and all the right, publications to trust any intelligence coming out of those publications. Depth and width.

No Trust, No Intelligence.

Importance for Advertising:
Brand Safety and Budget Optimization.

Here, you want to advertise your new product to the US Food Market. Keeping your brand safe will be your top priority… After all, you will pay to increase your business, not ruin the brand reputation it took you years to build.

Brand Safety is top priority for CEOs and CMOs.

For your online ad campaign, the trading desk of your advertising agency will define the query, with, amongst other things, desired and not-desired keywords, to select the content you trust compatible with your brand.

But a page can match all those criteria but be published on a site not safe or compatible with the advertiser’s brand. You must also select the publications you trust compatible with your brand.

Otherwise, your brand is at risk. And advertisers know and fear it:

4 in 10 brands deliver ads on unsafe sites – Cision

The only solution for the CMO to be certain to keep brands safe: Define himself the lists of publications he trusts compatible with her/his brands.

Consequence:

70% implement black or white lists… – Digiday

But while the vast majority is using lists, the vast majority is unhappy with the solution. As of today:

… but 64% fear negative impacts on performance.  71% fear to not achieve reach while delivering to the right audience in the right context. – Cision

Consequently, the solution is to:

1/ Have marketers define their white lists themselves for each campaign, each brand. And align in each country.

2/ Have those lists automatically built, maintained and updated, directly serving the trading desk.

Bottom line: Keep your Brand Safe, let TrustedOut manage your white lists.

Let’s go back to our US Food Market example. Our marketer, here, wants to build a white list of US based publications, specialized in Food and Beverage and also wants them to be in business for more than 3 years, not politically, nor religiously oriented and, of course, not spotted as fake news, hate news or junk science.

Corpus looks like above and now more than 9,000+ sources are immediately available to be imported or live feeding your trading desk.

Trading desk runs its query within the perimeter of the white list. Best of both worlds, search and directory.
Brand is now totally safe.

Run more where it returns more.

In addition, Media Profiles bring ad budget optimization.

By adding media profiles to a campaign report, marketers and agencies can surface media with the best ROI and thus, increase budgets where return is optimal.

BHG works best for your campaign? Let’s get more of this profile and spend your ad budget where it makes the most sense.

Questions? Shoot!

 

Developed nations distrust Social Networks, Developing ones don’t.

This post is inspired from this The Guardian (UK Edition) article

More than four in five Britons distrust platforms such as Facebook and Twitter…

“…with other developed nations such as France, Germany and the US not far behind. The attitudes contrast sharply with those in middle-income countries such as Brazil, India and Mexico, where trust is far higher…. just 12% trusted information from social media, compared with 83% who had little or no trust in platforms such as Facebook and Twitter.

Less than 30% trust in Social Networks in developed nations, more than 50% in developing ones.

“In all, 23% of Americans said they trusted information gained from social media, as did 20% of Germans, and 28% of Canadians. In developing nations, however, the trust was much higher: a majority of Indians (52%), Saudis (52%) and Thais (52%) trusted information from social media – as did 51% of Poles.”

UK and US do trust Local news orgs.

“Just two sources of information were trusted by a majority of Britons: national TV news channels (61%) and local news organisations (54%). Only the US was more mistrusting of information sources in general. According to the polling, local news organisations are the sole news sources that are trusted by a majority of Americans (58%).”

Cambridge Analytica, Christchurch, US Elections… all had a toll on Social Networks.

“The Cambridge Analytica scandal highlighted big tech’s ability and willingness to harvest data and subvert democracy, while the Christchurch shooting is the latest example of terrorism encouraged by online radicalisation.

YouTube has continually been found showing inappropriate content to children, and all the social networks have been implicated in nation-state information warfare, beginning with Russian trolls uncovered on Twitter after the US election.”

The desire for regularization.

“Episodes such as these explain why Britain is leading calls for increased levels of regulation of social media and technology companies. More than 60% of Britons think those businesses should be regulated more than they are now, compared with just 6% who think there is too much regulation and 15% who think there is the right amount.”

Social Media vs Traditional Media

From a previous post:

Get information from Traditional Media, have conversation on Social Media. Not the other way around.

Must gauge who’s talking.

We are basing this post on theguardian.com UK Edition. Prior to write anything, we, of course, use TrustedOut to understand who they are.

They are no spotted as any toxic content, such as fake news, fake sciences, conspiracist… But are they knowledgeable about publishing? Let’s ask for TrustedOut Taxonomy:

TheGuardian.com UK Edition classified by TrustedOut AI-Operated Taxonomy.

We decided they were legit and wrote this post.

Questions? Shoot!

 

 

In Europe, for the 1st time, written press is more trusted than distrusted.

Credits: EBU

This post is our takeaways from an advanced-television.com article and an EBU (European Broadcasting Union) report.

In Europe, Social media and the Internet are much more distrusted than trusted. It’s the reverse for Radio and TV.

Radio is the most trusted medium by EU citizens – trusted by 59% of the population with half of all EU citizens trusting TV.

Only 32% trust the Internet. 19% trust social networks.

On the other hand, the internet is trusted by only 32% of citizens and social media by 19% (down from 36% and 21% respectively in 2014).

Correlation between national news trustworthiness and democracy.

A positive correlation between the perceived trustworthiness of national news and citizens’ satisfaction with democracy means radio and television are indispensable assets for European society.

Related posts:

The decline of local newspapers impact on democracy.

Trust, Media and Democracy

Must gauge who’s talking.

We are basing this post on advanced-television.com. Prior to write anything, we, of course, use TrustedOut to understand who they are.

They are no spotted as any toxic content, such as fake news, fake sciences, conspiracist… But are they knowledgeable about publishing? Let’s ask for TrustedOut Taxonomy:

Advanced-television classified by TrustedOut AI-Operated Taxonomy.

We decided they were legit and wrote this post.

Questions? Shoot!

 

Mind the gender trust gap.

Credits: Gender and trust report – Edelman 2019

We strongly encourage you to read the 2019 report on Gender and Trust from Edelman. Here are our takeaways.

Women trust less than men. In business, but in Media too.

As the chart above shows, in each and every categories, Women trust less than man. Open the report to find data for specific countries. As we have a lot of readers from France, a tease is to say Women less than men in France as well, but the gap is less than the US.

+22% in news engagement amongst women.

Edelman says “Opportunity also abounds for companies seeking to engage women with their news. This year revealed a 22-point jump in news engagement among women. This is a profound shift”

More than a third amplifies media.

“We now consider more than one-in-three women as amplifiers of the media (those who share and consume news weekly and share and post content at least once per month)—a lift of 15 points. This means they aren’t just consuming the news, but are actively adding to the conversation in ever-greater numbers. Women are sharing stories, debating topics and spotlighting issues that matter to them.”

Women in control of $40T (yes, $40,000,000,000,000)

“Building brands women trust — and want to buy from, work for and engage with — is hard work, but the upside for business is real. Last year, women are estimated to have controlled about $40 trillion in consumer spending across the world. And the most gender-diverse executive teams were more likely to have above-average profitability than the least diverse companies by 21 percent. We can’t afford to slow down now.”

Questions? Shoot!

 

Less than 15% of journalists trained to best report on misinformation.

This post comments an article from Poynter. New! we are sharing TrustedOut’s taxonomy on this source at the end of the post.

Only 14.9% of journalists surveyed said they had been trained on how to best report on misinformation.

In a new study conducted by the Institute for the Future, a California-based nonprofit think tank, researchers found more than 80% of journalists admitted to falling for false information online. The data was based on a survey of 1,018 journalists at regional and national publications in the United States.

Perhaps more concerning: Only 14.9% of journalists surveyed said they had been trained on how to best report on misinformation.”

High potential to be attacked by malicious actors on social media.

“For example, users on fringe platforms like 4chan regularly try to get the media to cover stories that amplify bogus or racist narratives.”

Daily stress in their daily life.

“There’s so much stuff on social media about current events and figuring out whether or not something is true or false … (it) is a serious challenge,” said Samuel Woolley, director of the Digital Intelligence Lab at the Institute for the Future, in a phone interview. “Journalists that we talked to were super open with the fact that this was a daily stress in their life.”

Must define trust.

TrustedOut is a database of Information Sources, entirely operated by AI, so analysts can define the profile of sources they trust and thus run intelligence tools on content they trust.

New demo page showcasing TrustedOut and BI, Ads and PR

Must gauge who’s talking.

We are basing this post on Poynter.com. Prior to write anything, we, of course, use TrustedOut to understand who they are.

They are no spotted as any toxic content, such as fake news, fake sciences, conspiracist… But are they knowledgeable about publishing? Let’s ask for TrustedOut Taxonomy:

Poynter classified by TrustedOut AI-Operated Taxonomy.

We decided they were legit and wrote this post.

Questions? Shoot!

Distrust is, both in Media and Gov, and both in Europe and the US.

Following our previous post “Populists/anti-elitists and Right wings share the same views on News Media in France” taken from Journalism.com (Pew Research) comes this chart showing

The level of distrust in news media follow the level of distrust in Governmental institutions.

To be noticed, UK, France and Italy trust their military and UK still has faith in its banking institution which is an interesting point in the midst of the Brexit. Don’t trust the media, trust banks?

A similar situation to the US.

A few weeks back, we posted this:

Distrust in Media driven by distrust in government.

As trust is personal, it must be personally defined.

This is the key message of TrustedOut:

While distrust is general, trust definition is personal.

Questions? Shoot!

 

 

Cyber-crime and Social Media: 62% afraid. 94% distrust. 66% ok to share.

[this post is based on an eWeek article on the Norton LifeLock Cyber Safety Insights Report – March 26th 2019]

62% believe risk for Cyber-crime is higher than the flu.

62 percent of Americans believe that experiencing cyber-crime is equally or more likely, than getting the flu. The study however also found that American want to be secure, however they are also willing in some circumstances to trade security for convenience.

94% have little or no trust in their social media provider’s ability to protect and manage personal information.

After a year of scandals and headlines, no surprised here. And we are not only talking about Facebook, but all social networks.
Consequence: 28% have deleted a social media account in the past 12 month as a result of a privacy concern.

84% want more about their privacy, but 66% are willing to share their personal data.

“According to the report, 84 percent of consumers want to do more improve their privacy, which was a surprising finding.” but “…many are willing to sell or give away their personal data including: internet search history, location and personal ID information such as a driver’s licenses. According to the report, 66 percent of consumers are willing to accept certain risks for data sharing to make life more convenient.”

But 72% do not want to pay for protection…

“72 percent of consumers saying they are not willing to pay social media providers to ensure their personal information is protected when using them, compared to 58 percent for retailers”

… as long as, for 77% they understand how their data are used and they can report abuse.

“77 percent of consumers said that it’s absolutely essential or very important to have the right to understand how their personal data is used. Additionally, 78 percent reported  that it’s absolutely essential or very important to have a way to report personal data misuse.”

Questions? Shoot!

Deck and demo from our 1st public event: TrustedOut+Digimind.

It was this Thursday morning and it was great. It was our first public presentation and it was great to partner with Digimind to show why TrustedOut can make Intelligence smarter and trustworthy. Merci Aurelien and Valentin.

The deck. TrustedOut.com/Digimind

Deck is in english. If you have question, let us know with the form below.

The demo. Step by step.

The scenario

ACME is a sport car maker launching a new model extensively using Artificial Intelligence (AI). ACME has 2 main countries, US and France and wonder what market to test first.

Step 1. Corpus Creation for country comparison.

New corpus, the CMO (or Marketing Manager) defines 3 conditions to be necessary.

a. Where are the publications? We said France and the United States
b. What should these publications be about? ACME wants to grab how AI is perceived from publications covering Politics, for regulations, Law, for any legal aspects, Tech, to gauge technology used and perceptions and, of course, Transportation, for anything car related.
c. Want to be safe from any toxic content? Of course, no fake new and no junk science

TrustedOut classification knows how gauge the expertise level of a source and how sensitive to the news the taxonomy should be.

At this stage, we want generalist publications by setting the expertise level to “Covered”

Here is the corresponding query for our Corpus, which we are going to name “ACME AI in new model”.

Once ready, “Save” will show us how many media and sources our Corpus will include…

… and the Taxonomy of your Corpus.

Let’s now connect your Corpus to Digimind to get Social Intelligence from your Corpus. Process is simple, click on “Get” and, instead of “Downloading” a csv or json file with all media and sources, which will not be up dated at all time, click on Connect and pick Digimind.

Your “ACME AI in new model” Corpus is now live and accessible for any projects related to this corpus definition. TrustedOut will continue to update it, all the time, with relevant media and sources.

Digimind collects content from those media sources, so no need to also connect “article abstracts” with Digimind.

Step 2. Comparing countries on AI.

As the Corpus is immediately available and up to date in Digimind, we can read the following top concepts in both countries about AI.

ACME is very sensitive to ethic in AI, so consequently pick France as the first country to test its new model to handle this ethic topic super carefully.

Step 3. Best media profiles for ad campaigns.

ACME’s CMO wants to check if Pure Player Media (media only available online) is a good target. After all, Pure Players should be more reactive and not having to sync print, for example, that can be daily, weekly or monthly, with immediate online publishing.

Let’s go back to TrustedOut and change the Corpus as follow:

a. Where are the publications? We now want to limit to France.
b. Select Pure Players? We want media where “out of digital” is set to None to only get those not publishing on any other support.

“Save”. And now we get these amounts

Step 4. The perfect mix ethic and Business for a 1st ad campaign.

While France is more “Ethic” on AI, Pure Players are more Business Oriented vs all. ACME CMO is seeing the growth from 37% (all media) to 45% (Pure Players) in business for this selection of media as the perfect vehicle to test an ethic message onto business oriented people.

Step 5. Talk to the talk in AI.

Now, ACME wants to launch its first Press Release and wants to address first the geek, very technical community.

Let’s go back to TrustedOut and make the following changes:

a. What should these publications be about? We now want only Tech and Transportation publications
b. How expert? Dedicated.

… and, of course, more specialized pubs means less as a total:

Step 6. Key concepts for an optimal PR campaign.

Digimind gives us the key concepts to write our Press Release: European Union/Commission and Neuronal Networks.

With the Corpus we have what publications to target, with those key concepts we have how to write a Press Release that will interest those targets.

Bottom line:
TrustedOut+Digimind = Market selection, Optimal ad budgets and Perfect PR.

Questions? Shoot!

 

Important does not mean interesting. Quite the opposite.

Inversely proportionated.

The more Important a news topic is for daily life, the less interesting it is to follow.

Weather, Crime and traffic are top important for daily life but definitely not topics to follow.

Gov and Politics #1 in not important for daily life and a third of interest to follow vs Restaurants, Clubs and Bars.

This is to be related to:

The decline of local newspapers impact on democracy.

and this, to save a declining situation:

“Local leads to trust”

taken seriously by Google, Facebook, Knight Foundation, Automatic…

Saving journalism. [updated 2/19/19]

Questions? Shoot!

 

 

 

Google to the local media rescue.

Google to the local media rescue.

As a follow up to our post originally posted 1/17, updated 2/19, here’s the march update, in a separate post as we’re covering here a Google initiative.

Saving journalism. [updated 2/19/19]

The Local Experiment Project.

[this post is inspired by an Axios post] “Google is launching the Local Experiments Project, an effort to fund dozens of new local news websites around the country and eventually around the world.

Financially supported. Editorially independent.

The tech giant says it will have no editorial control over the sites, which will be built by partners it selects with local news expertise.”

The Compass Experiment.

Is a partnership between Google and McClatchy to launch three new, digital-only local news operations on multiple platforms.

  • McClatchy will maintain sole editorial control and ownership of the sites and Google will have no input or involvement in any editorial efforts or decision making.
  • Google says the investments will be significant. “We will be spending many millions of dollars on this overall,” says Richard Gingras, Google’s VP of news.
  • McClatchy will choose 3 cities that are less than a half million people for the site launches. It hasn’t announced any hiring plans, but people familiar with the efforts say there will eventually be people on the ground in those cities.
  • Smaller cities will be the focus. McClatchy CEO Craig Forman says it’s targeting cities with less than a half million people because that’s where local news decay is worst. Gingras says those cities are important because people there have a strong sense of community, which can harder to tap into at the metro and national levels.

Between the lines: McClatchy will be the first of many “experiments” within the Local Experiment Project. The goal is to use the lessons from McClatchy’s efforts, and others in the future, to create a network of shared insights that can be leveraged by everyone in the local news business.

Next? The World!

What’s next: If successful, Google may expand its tools and services to enable others to launch similar sites in other places in the U.S. and around the world. Gingras points to examples of news sites in Canada, France and the U.S. as examples of local news businesses that can thrive with the right strategies and investments.

04.11.19.900.Paris

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Questions? Shoot!

 

Brands buy Media Brands.

Reaching out to customers. Potential and existing.

There was advertising.
There was sponsoring.
There also was Commercial Brands creating their own media brand, such as (sources: Axios):

Now, Brands buy Media Brands

Robinhood, a trading app (raised $110M in 2017), instead of creating its own brand like seen above, is buying one: MarketSnacks , a newsletter and podcast media brand focused on financial trading. An interesting evolution for the media industry. Imagine, Nissan buying Car and Driver? Yes, I hear you. Jeff Bezos owns the Washington Post, but it’s not Amazon and WaPo is not a straight coverage for Amazon either.

All about transparency.

As written, trust in Media will come back with Privacy and Transparency. As long as you are aware of who is behind a Media, (or political orientation, or depth of expertise…) the content will be educational and useful as long as you accept the profile of the media.

Top 2019 predictions: Privacy and Transparency

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Questions? Shoot!

 

Facebook’s news tab is a great idea IF users can curate her/his sources.

Screenshot from Facebook

The new News tab idea…

If you have an hour, this video/conversation is definitely worth it. Matthias Döpfner, Axel Springer’s CEO, was blunt and asked the right questions, from a journalist, online and print publisher, EU guy.

… if the user can define her/his trust criteria.

My fav part is well explained in this Recode article and in particular, the News tab idea is great but, to me and unsurprisingly, only if the FB user can do its own curation of publishers meeting his/her trust values.

“And as Zuckerberg notes in his comments, he isn’t sure whether Facebook should be curating a mix of news for users or letting them pick most of what they want to see.

Trust is personal. No-one can tell you what you trust.

As we wrote:

While distrust is general, trust definition is personal.

This is the foundation of TrustedOut.

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Questions? Shoot!

Online lie detector or Machine learning how to lie.

Online lie detector or Machine learning how to lie.

Interesting article in Wired “RESEARCHERS BUILT AN ‘ONLINE LIE DETECTOR.’ HONESTLY, THAT COULD BE A PROBLEM”

Yes, it’s a first attempt. Yes, it should be taken very cautiously.
But yes, it has merit.

Typing and writing.

The way you type and the words you use show a level of lie or truth, from your standpoint. While recording and analyzing the typing part sounds more like a lie detection test, the word used are, in fact, much more accurate.

TrustedOut uses a similar method.

As mentioned, TrustedOut uses extensively machine learning. In this previous post, we explained how machine learning is the basis of our classification. For taxonomy or how to spot how a media is perceived on the internet.

The How and What: Mixing attitude and expertise.

Now, imagine you mix an attitude, such as lying or being blunt, or positive, or sarcastic and a taxonomy classification, and you mix two or more classifications based on machine learning. And you get the how and what…

04.11.19.900.Paris

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Questions? Shoot!

 

Distrust in Media driven by distrust in government.

According to VisionCritical: “trust [in Media] among the informed public in the U.S. plunged 23 points to 45, making it the lowest of the 28 countries surveyed. The collapse of trust is driven by a staggering lack of faith in government. This fell 14 points to 33 percent among the general population, and 30 points to 33 percent among the informed public. [Numbers are for the USA]”

63% can’t recognize journalism from rumors.

“The 2018 Trust Barometer found 63 percent of respondents don’t know how to tell good journalism from rumor, or whether a respected media organization had produced a piece of news. But the public doesn’t rely solely on news media organizations to stay informed. We also use search engines and social media. The irony is that these platforms—once hailed as the future of media—are hurting too. The rising distrust of traditional media comes at a time when social media giants such as Facebook are facing intense scrutiny about their role in spreading disinformation. The Huffington Post recently announced it would no longer rely on unpaid bloggers.

Journalism for the win!

It’s all about brand values.

We recently published in “Why customer trust is more vital to [media] brand survival than it’s ever been” :

Gaining trust: demonstrate [media] brand clarity of purpose and core values and be transparent with all policies and procedures.

“Board and staff members need to adhere to these ethical standards as, in effect, they are the brand and only they can elicit consumer trust,” he [Director of brand agency Hulsbosch, Jaid Hulsbosch] says.

To do this, a corporation and its brand needs to be determined to demonstrate brand clarity of purpose and core values and be transparent with all policies and procedures”

Profiling Media Brands to secure trust in analytics and brand safety.

Brand values for any business, including Media, are the foundation of trust for customers, readers. Understanding them is the solution to secure trust in analytics support for strategic decision making and totally secure advertiser’s brand within a campaign.

Questions? Shoot!

 

TrustedOut + Digimind = Trust in your Sources means Trust in your Analytics.

Register to the event

Mark your agenda! 04.11.19.900.

April 11th, 9-11:30am. Paris, Champs Elysees. Register here!

Trust in the content you analyze, Trust in your analytics.

We will demo TrustedOut Corpus Intelligence to provide tailor-made content, precisely defined by the analyst and how it impacts analytics to make secure, solid and trustworthy decisions.

Discover why we say “TrustedOut Corpus Intelligence makes Intelligence smarter and trustworthy.”

Register asap to secure a seat!

Time for journalists to acknowledge that they write from a set of values, not simply from a disinterested effort at truth?

As Columbia Journalism Review puts it, “one gets the sense that the pitch of anti-press sentiment is now the most fevered it’s been since the founding of the republic. In fact, presidents from George Washington on, including Thomas Jefferson… judged newspapers to be full of lies. “. Sounds familiar?

Credits: cjr.org

Readers responsibility to discern for themselves the difference between what can be trusted as factual and reporter’s judgment. 

“… the old days of ritually objective news reporting (he said/she said) are not gone but have been reduced in importance from the 1970s on, as mainstream outlets have increasingly emphasized analysis in news coverage—not quite so much “who, what, when, where” as “why.” There has been a profound cultural shift in journalism during this period. The limitations of straitjacketed objectivity came to be understood and journalism began to embrace the necessity of interpretation… In the face of the severe economic problems afflicting daily newspapers, leading metro dailies have continued, whenever possible, to pursue aggressive, analytical journalism. This places great responsibility on readers to discern for themselves the difference between what can be trusted as factual and what represents the reporter’s judgment—a judgment that, however conscientious, goes beyond documented facts.”

“It may also be time for journalists to acknowledge that they write from a set of values, not simply from a disinterested effort at truth.”

“This will not be easy, since journalists have spent decades denying that their personal values have anything to do with their news reporting.”

Trust is personal. Personal is Trust.

“Tom Rosenstiel, the executive director of the American Press Institute, told her that for many people, “there’s ‘the media’ (bad) and there’s ‘my media’ (fairly good).” Likewise, he noted, people have little faith in Congress but think their own local representatives are okay.

Sounds familiar? Yep. We wrote about this…

developed in this post: While distrust is general, trust definition is personal.

Bottom line: Media should strengthen their brand values with the upmost  transparency to increase Reader’s trust.

Questions? Shoot!

TrustedOut AI-Operated Classification

Data Collection and Content Classification.

Our database of Media profiles has 2 distinct jobs. Collecting intangible data, like revenue, ownership, years online…) and Classifying content for our taxonomy and how sites are “spotted as” (like “fake news”, “junk science”…)

Data Collection is a multi-references, cross checking and evolution watch crawling exercise when…

Content Classification is all about Machine Learning.

And all about “bags of words”. For every classification job, we build datasets made of words onto which the frequency of occurence is used to train a classifier.

As mentioned above, we have 2 types of Classification: Taxonomy and “spotted as”.

Taxonomy Classification.

As in the graphic above, every articles is matched against our taxonomy datasets so we can classify each and every article. This gives us a clear picture of a feed, and thus, the whole media.

This, of course, makes a (big) lot of operations: 75,000 per article. Yes, 75 Billions ops per million of articles daily.

Taxonomy fun facts (as of today!)

Taxonomy DNA

Hereafter is the visualization of the New York Times, Tech section’s DNA.

Sensitiveness and depth customization. Tailor-made for the analyst.

Datasets used to classify articles can use a customized buffer of time for those datasets and thus, manage how sensitive to daily news the taxonomy will be. In addition, cliffs can also be customized to select a depth of expertise, from “dedicated” to “covered” or even “all sounds”. Both combined, plus the “always up-to-date” factor, makes our taxonomy perfectly tailor-made for the job the analyst wants to run. Reason why we use “Corpus Intelligence” as our tagline.

Enterprise mapping.

We can also link our taxonomy to our Enterprise Client’s taxonomy, so Corpus Intelligence can use the client’s business environment, (We’ll cover this in a dedicated post later. If you can’t wait, ask using the form below)

“Spotted as” Classification.

Point of being AI-Operated is we do not have any emotion or opinion. Everything is made for our client to define what they truly need and trust for content.

TrustedOut does not score nor judge anything or anyone. In addition, notions like “fake news” is not as cristal clear as people may think. The “Media, Trust and Democracy report” says it perfectly in its introduction: “Concern about “fake news” is high, but we can’t agree on what that means.”

A vivid picture on how a Media is “spotted as”.

As, TrustedOut profiles Media and their brand values, we have developed a sophisticated way to classify how a Media is “spotted”. In other words, we do not score or judge, we tell you if a Media is “spotted as” a fake news publication, for example.

In addition, the way a Media is “spotted as” varies over time. Some are getting worse, some are just revivals of previously shutdown ones, some are, of course, fixed and improved. This is why it’s mandatory to keep an always updated classification. And consequently, have your Corpus of documents always up-to-date.

Works with any terms. Bad or good.

“Fake news” is always the first coming to mind, then all toxic or suspicious terms like “Extreme bias”, “Junk Science”… but it can also works perfectly for neutral or positive terms, like “Visionary”, “Optimistic”… This opens doors to Enterprise-wide personalization.

Questions? Shoot!

 

 

 

 

 

In California, “Cannabis industry more trusted than Social Media”.

Our takeaways from this recommended Wired article:

“58 percent of Californians think the tech industry should be “more regulated,” up from 46 percent in 2018. An even larger group, 68 percent think the tech industry has been “under-regulated” rather than “over-regulated,” up from 62 percent in 2018 and about 59 percent in 2017.”

Level of trust in marijuana dispensaries and growers—44% and 43%. Trust in social media—33%.

Credits: Edelman

Failure to protect data and lack of privacy.

“Among employees, privacy and security were the top worries. Of 11 possible concerns about the tech industry—from increasing housing costs and income inequality to a possible tech bubble collapse—57 percent of workers said their primary concern was “failure to protect from data security threats,” tied with “lack of privacy/my data is shared too much.””

Gonna be ok.

“For “tech” as a whole, 61 percent of respondents said they had a high level of trust that the industry would do what’s right. For “startup companies” and “the sharing economy,” the figures were similar to the pot industry—47 percent of respondents said they trusted companies in those sectors to do the right thing.”

High expectations for an outsize impact.

“Sixty-seven percent of respondents said tech leaders should be doing more to improve California. Given the industry’s outsize impact, 81 percent said tech should do more to improve local issues, up from 75 percent in 2018 and 76 percent said tech leaders are obligated to do more on societal issues, up from 71 percent last year.”

Get information from traditional Media, Conversation on Social Media…

As we wrote:

Get information from Traditional Media, have conversation on Social Media. Not the other way around.

Questions? Shoot!

 

Keywords (Data) Voids: Misinformations via Google and Bing.

Credit: pexels.com

In decreasing order of Trust in News: Media I use, Media Overall, Search engines and Social Media.

From the must-read Reuters Institute and Oxford University Digital News Report, you can read the following for the US:

Misinformation using keyword voids via Google and Bing. The “evil unicorn problem”.

Keywords Voids, also known as Data Voids, might not be the only reason for this low level of Trust but it’s important to know how this works.

Desperately seeking quality content.

Every one of us searches Google 3-4 times every day.

But every searches are not equal. Lots of searches are too vague and thus will return lots of noise and (yes!) 15% of all searches on a yearly basis were never searched before.

Bottom line, in the too vague a query, you will add more words and the combinaison may not have much quality content. Same for searches never searched before.

This means there are many search terms for which the available relevant data is limited, non-existent, or deeply problematic. We call these “data voids” or “keywords voids”

The malicious exploit: Wide open door to misinformation and manipulation.

Typology of Keywords/Data Voids (source (highly recommended read): Data Voids: Where Missing Data Can Easily Be Exploited)

Active Keywords/Data Voids on breaking news.

“Data voids that are actively weaponized by adversarial actors immediately following a breaking news event, usually involving names of locations or suspects in violent attacks (e.g., “Sutherland Springs” or “Parkland.”)”

Active Keywords/Data Voids on problematic terms.

“Data voids that are actively weaponized by adversarial actors around problematic search terms, usually with racial, gendered, or other discriminatory intent (e.g., “black on white crime” or “The Greatest Story Never Told” or “white genocide statistics.”)”

Passive Keywords/Data Voids on a particular group

“Data voids that passively reflect bias or prejudice in society but are not ac- tively being weaponized or exploited by a particular group (e.g., “CEO.”)”

A byproduct of cultural prejudice.

Not an easy task. “Data voids are a byproduct of cultural prejudice and a site of significant manipulation by individuals and organizations with nefarious intentions. Addressing data voids cannot be achieved by removing problematic content, not only because removal might go against the goals of search engines but also because doing so would not be effective. Without high-quality content to re- place removed content, new malicious content can easily surface”

Responding to data voids requires making certain that high-quality content…

“Unlike other forms of content moderation, responding to data voids requires making certain that high-quality content is available in spaces where people may seek to exploit or manipulate users into engaging with malignant information.”

… but only you can decide what is a “quality content”.

This is why we are building TrustedOut. Am AI-Operated database of media profiles. Unbiased. Up-to-date. Universal.

Questions? Shoot!

 

“Local leads to trust”

“The shorter the distance between our neighbors and our news, the stronger our community.”

This article from NiemanLab about an event organized by the Knight Foundation is a perfect follow up to our previous post:

The decline of local newspapers impact on democracy.

Saving the Soldat Local News

… and, as a reminder the Knight Foundation did commit an addition $300M to support journalism and local news

Saving journalism. [updated 2/19/19]

The American Journalism Project

Things are definitely moving with the launch of the American Journalism Project, a venture philanthropy effort co-led by Chalkbeat founder Elizabeth Green and Texas Tribune founder John Thornton, with $42 million in its first fund.

Attention, money, efforts… we’ll keep you updated on this. Stay tuned.

Questions? Shoot!

 

 

“Why customer trust is more vital to [media] brand survival than it’s ever been”

We recently wrote in the post below:

“Your Trust is based on the publisher brands you value.”

TrustedOut’s market

Because Trust and brands are so linked, including for Media, we wanted to share our takeaways from this CMO (Chief Marketing Officer) article “Why customer trust is more vital to brand survival than it’s ever been” [article applies beyond Australia].

Authenticity is key to trust, so how do [media] brands build this in a world of digital and social upheaval?

“Simply saying a brand is going to do something, without backing it up with actions, is a consumer disaster waiting to happen.”

“It’s about being transparent, doing what is expected and shared values. Key to this is the internal culture of the brand becoming more evident,” she [Qualtrics customer experience subject matter expert and principal consultant, Vicky Katsabaris] says. “The expectation is you deliver to those values with more purpose-driven activities so you are living and breathing the values.

Gaining trust: demonstrate [media] brand clarity of purpose and core values and be transparent with all policies and procedures.

“Board and staff members need to adhere to these ethical standards as, in effect, they are the brand and only they can elicit consumer trust,” he [Director of brand agency Hulsbosch, Jaid Hulsbosch] says.

To do this, a corporation and its brand needs to be determined to demonstrate brand clarity of purpose and core values and be transparent with all policies and procedures”

2019 predictions.

This confirms our predictions for 2019…

Top 2019 predictions: Privacy and Transparency

…  and confirms the uptrend in trust in media lately.

 

 

 

The decline of local newspapers impact on democracy.

 

A recent study published in Oxford’s Journal of Communication (and available here) shows some very interesting links between the impact of losing a local newspaper and the increase of bipartisan (left or right) votes. Here are our takeaways:

Newspaper Closures Polarize Voting Behavior

Missing local news has a negative impact on political outcomes

“Local news sources are not merely suffering in this new marketplace—many are disappearing for good (Hindman, 2009; Shaker, 2014). As newspapers close, other local media are not emerging to fill the information gaps, with negative impacts on important political outcomes”

Less local news, less regard on local politics.

“Another emerging literature details negative consequences of declining local news. Where local newspapers are weaker, people know less about their representatives and subnational governments and turn out at lower rates (Hayes and Lawless, 2015, 2018; Kübler & Goodman, 2018; Shaker, 2014), and municipal governments spend less and borrow at higher rates (Gao et al., 2018; Yazaki, 2017). ”

The Nationalizing Media Environment and Political Polarization

Less news opinions creates more, national-based, bipartisan decisions

“Declining access to quality local news is harmful to voter behavior and responsive governance, leading to more corruption (Arnold, 2004; Besley, Burgess, & Prat, 2002; Campante & Do, 2014; Strömberg, 2004) and lower voter turnout (Schulhofer-Wohl & Garrido, 2013). In the absence of quality local news options, Americans may rely on partisanship and national news to inform their political decisions (Hopkins, 2018; Trussler, 2018).” A relative reduction of local news in the media marketplace may result in less exposure to local news and more regular exposure to national media, with significant effects on engagement and partisan voting (Clinton & Enamorado, 2014; Hopkins & Ladd, 2014; Hopkins, 2018).

When a local newspaper closes, split-ticket voting decreases by 1.9%.

[Split-ticket voting refers to when a voter in an election votes for candidates from different political parties when multiple offices are being decided by a single election, as opposed to straight-ticket voting, where a voter chooses candidates from the same political party for every office up for election. – Wikipedia]

Less local news mix local and national matters.

“Our findings connect the literature on the polarizing effects of the changing news environment to scholarship on the negative democratic consequences of the decline of local news: just as adding the internet or partisan cable news to the media environment can influence voting behavior, removing a local news source from the marketplace may polarize the choices citizens make”

So, now, what?

We wrote on Jan 17th, the post below announcing Google, Facebook, and now the Knight Foundation have reach a whooping $1B financial support quality journalism and for local news…

Saving journalism. [updated 2/19/19]

Also, on Feb 11th, we published this:

Trust, Media and Democracy

Why it matters to us

Quality journalism is mandatory for democracy and vital to Media brand values. The foundation of TrustedOut Media profiling  to provide sources Analysts will define as their need and trust in Business Intelligence, Advertising and PR.

Questions? Shoot!

Get information from Traditional Media, have conversation on Social Media. Not the other way around.

Misinformation and biases infect social media, both intentionally and accidentally

This highly recommended article from The Conversation exposes 3 types of bias identified by Indiana University. Hereafter are our takeaways.

1/ Bias in the brain

More information means less quality content shared

“Cognitive biases originate in the way the brain processes the information that every person encounters every day. The brain can deal with only a finite amount of information, and too many incoming stimuli can cause information overload. That in itself has serious implications for the quality of information on social media. We have found that steep competition for users’ limited attention means that some ideas go viral despite their low qualityeven when people prefer to share high-quality content.”

Beware emotions in headline trap

“One cognitive shortcut happens when a person is deciding whether to share a story that appears on their social media feed. People are very affected by the emotional connotations of a headline, even though that’s not a good indicator of an article’s accuracy.”

What matters is where it’s coming from.

“Much more important is who wrote the piece.”

TrustedOut foundation: profile who’s behind to evaluate your trustworthiness appreciation and the path to greater trust in media:

Optimism and method for greater trust in media.

2/ Bias in society

Like seeks like (“Birds of a feather flock together”)

“When people connect directly with their peers, the social biases that guide their selection of friends come to influence the information they see. …social networks are particularly efficient at disseminating information – accurate or not – when they are closely tied together and disconnected from other parts of society.”

“Us vs Them”

“The tendency to evaluate information more favorably if it comes from within their own social circles creates echo chambers that are ripe for manipulation, either consciously or unintentionally. This helps explain why so many online conversations devolve into “us versus them” confrontations.”

We are right. Distrust in fact-checking

“…during the 2016 U.S. presidential elections [analysis] shows that Twitter accounts that shared misinformation were almost completely cut off from the corrections made by the fact-checkers. When we drilled down on the misinformation-spreading accounts, we found a very dense core group of accounts retweeting each other almost exclusively – including several bots. The only times that fact-checking organizations were ever quoted or mentioned by the users in the misinformed group were when questioning their legitimacy or claiming the opposite of what they wrote.

3/ Bias in the machine

Getting more of the same. Accurate. Or not.

“The third group of biases arises directly from the algorithms used to determine what people see online. Both social media platforms and search engines employ them. These personalization technologies are designed to select only the most engaging and relevant content for each individual user. But in doing so, it may end up reinforcing the cognitive and social biases of users, thus making them even more vulnerable to manipulation.”

Illusory truth effect. Repeat until it feels true.

“For instance, the detailed advertising tools built into many social media platforms let disinformation campaigners exploit confirmation bias by tailoring messages to people who are already inclined to believe them. Also, if a user often clicks on Facebook links from a particular news source, Facebook will tend to show that person more of that site’s content. This so-called “filter bubble” effect may isolate people from diverse perspectives, strengthening confirmation bias.”

Popularity bias. More clicks makes it feel more true.

“Another important ingredient of social media is information that is trending on the platform, according to what is getting the most clicks. We call this popularity bias, because we have found that an algorithm designed to promote popular content may negatively affect the overall quality of information on the platform. This also feeds into existing cognitive bias, reinforcing what appears to be popular irrespective of its quality.”

Get information from Traditional Media, have conversation on Social Media. Not the other way around.

Unsurprisingly, and somewhat reassuring, numbers from Reuters/Oxford (hereafter for the US) show trust in social media are the lowest with 13% vs 34% for news overall and the highest at 50% with News/Media I use. (we developed this with this post “While distrust is general, trust definition is personal.“)

Related posts:

Saving journalism. [updated 2/19/19]

Top 2019 predictions: Privacy and Transparency

TrustedOut’s market

Questions? Comments? Contact us!

 

 

Older people share more fake news.

Age predicts behavior better than any other characteristics (even party affiliation )

Researchers at New York and Princeton Universities, through their recent surveys, are saying older users shared more fake news than younger ones regardless of education, sex, race, income, or how many links they shared. [source: The Verge]

7 times more fake news sharing

“But older users skewed the findings: 11 percent of users older than 65 shared a hoax, while just 3 percent of users 18 to 29 did. Facebook users ages 65 and older shared more than twice as many fake news articles than the next-oldest age group of 45 to 65, and nearly seven times as many fake news articles as the youngest age group (18 to 29).”

Profiling media sources…

“It won’t be easy: how to determine whether a person is digitally literate remains an open question. But at least some of the issue is likely to come down to design: fake news spreads quickly on Facebook in part because news articles generally look identical in the News Feed, whether they are posted by The New York Times or a clickbait farm.”

… to build trust.

Profiling sources so limit fake news spreading is similar, in logic, to profiling sources to limit misleading intelligence. We call it “Corpus Intelligence” and will focus on B2B solutions. In production end Q1 2019.

Trust, Media and Democracy

click here to read report

The Aspen Institute and the Knight Foundation recently released a report on a commission they organized about Trust, Media and Democracy. While coming from America, we believe most can apply wider.

If you don’t have the time for the length report, this medium page is very interesting. Here are our takeaways in the light of our previous posts, regrouped in 3 main categories:

10 ways to rebuild trust in media and democracy

Before starting up, we can not resist to simply cut and paste the introduction paragraph: “Our nation is experiencing a crisis of trust. We believe that reliable news is vital to our democracy, but many of us can’t name an objective news source. Concern about “fake news” is high, but we can’t agree on what that means. We can’t even assume every American is operating under the same set of facts. We retreat to polarized political tribes and don’t want to listen to anyone outside them.” – Superbly written and so much in alignment with what we believe and the motivation to create TrustedOut.

Of course, the purpose here is not a posture of “we know better” but rather than copycatting what the article says, simply note we wrote about most of those points and thus, are in agreement with them.

a/ Privacy and Transparency (#1, 5 & 6)

Top 2019 predictions: Privacy and Transparency

b/ Financial support (#2, 3, 4 & 7)

Saving journalism.

c/ Education (#8, 9 & 10)

Media trust over education stages

Feedback welcome. Go the bottom of any TrustedOut.com page…

TrustedOut’s market

In its latest report on Social Intelligence, Forrester writes, straight right from the beginning:

Enterprises Are Still Not Using Social Intelligence To Its Full Potential” 

“Social Listening Platforms’ Current Offerings All Look Alike

Each social listening platform provider emphasizes its unique applicability and use across the enterprise. But each vendor also parades a roster of features and functionalities that largely look the same from one to the next. Buyers will struggle to distinguish major differences between each vendor’s current offering because social listening platforms all rely on the same data sources as the foundation of their platforms. … most vendors in this evaluation tap into the same third-party aggregators such as webhose.io for web content, LexisNexis or Factiva for news, … Social listening platform shoppers may find the breadth of data sources an important selection factor, but the discernment of data differentiation becomes increasingly difficult when all vendors source from the same well. ”  – Forrester, Q3’18

We couldn’t agree more.

Even more if you add the current crisis of distrust in content. Magnified but far, far more complex than just some fact checking to feel better with fake news being fixed. No, fake news are just the tip of the iceberg. The issue of trust in news and information in general is to, first understand who is talking before listening to anything they say, and then, ultimately taking any action.

The immense problem today is to not profile who is talking and thus, the trust you can put in the publisher, before spreading and commenting which means adding your intrinsic support.

Intelligence needs data.

Nothing new here. AI with its deep and machine learning, needs data. Analysts need data… any kind of intelligence needs data.

Social Intelligence needs data.

Forrester makes a point by saying there is no differentiation of the offer because there is no differentiation of the data used for the Social Intelligence. Of course, we agree and that’s the foundation of TrustedOut: providing profiled media sources. Let’s have a look at the 3 references mentioned by Forrester:

Webhose.io, Factiva and LexisNexis are all about articles. We believe Media is what matters.

Webhose.io claims to be “Data As A Service”, provides articles. Factiva (Dow Jones) does the same but claims to be curated by (lots of) humans. LexisNexis does the same but focused on legal.

We totally respect those three and in no way, are we judging them. We are just saying they, all three, take an “article” approach. You could also get your articles by the author name but none is scoring them.

None of them is focusing on the media itself. TrustedOut does. Here is why:

Trust is based on a reputation. An article does not have a reputation.

An author may have a reputation but is temporary and linked to a matter.

A publisher brand definitely has a reputation and its values guarantee stability.

Bottom line: Your Trust is based on the publisher brands you value.

This is why TrustedOut is an AI-Operated profiling media database offering our clients to define their trust via sophisticated queries (65+ fields and 400+ categories) because ONLY you can define your own trust. No-one can tell you what you trust.

The distrust fix is in giving you the tools to define what you trust.

Update: Digital Content Next wrote recentlyConsumer trust is a vital and a key differentiator for publishers in a competitive environment. Fostering trust, prioritizing consumer rights and offering transparency of data practices is more important than ever before for premium publishers.”. This could be from us.

Company sizes.

LexisNexis has 10,000+ employees and $2.8 Billions in revenue, 5M users and is available in 175 countries.

Factiva was bought by Dow Jones in 2006 for $160 Millions when their revenue was $290 Millions, used by 1.8M users and 80% of the Fortune Global 500.

Webhose.io is a younger independent company out of Tel Aviv claiming 35,000 registered users, $5.5M in revenue and 115 languages.

Market is growing fast.

$4B in 2018 and according to BusinessWire: “The Global Social Media Analytics Market size is expected to reach $11.6 billion by 2023, rising at a market growth of 28.6% CAGR during the forecast period.”

Various Sector Demands is growing fast.

“Asset managers double spending on new data in hunt for edge” – Financial Times

“Investment groups have more than doubled their spending on new digital information sets and data scientists in the past two years… Asset managers last year spent a total of $373m on data sets and hiring new employees to parse them, up 60 per cent on 2016, and will probably spend a total of $616m this year, according to a survey of investors by AlternativeData.org, a trade body for the industry. It forecasts that overall expenditures will climb to over $1bn by 2020″

So, demand is fast growing…. better use content you trust.

Taxonomy fun facts (as of today!)

Taxonomy DNA for The New York Times – Tech section

In these 2 recent posts, we announced our AI-operated Taxonomy…

Introducing Taxonomy DNA

Taxonomy DNA (cont.) – comparing a specialist vs a generalist

… time now to share some fun facts about it:

10,000,000 words

is the dictionary of words used for the qualification of our taxonomy classifications. Those words were precisely selected to be meaningful for each of our taxonomy classifications (leaves).

100,000 new article abstracts collected daily.

Every day, 100k article abstracts are collected. This number should grow to 1 million a day within 3 months.

75,000 operations per article

… to classify within our taxonomy every single article for every single day for every single feed for every single media.

8 Billions classification operations daily

This is growing daily and should reach 50 to 70B shortly.

Allowing for sophisticated Taxonomy classifications filters.

Thereafter is an example of how to filter classifications and depth of specialization per classification (we’ll dig into this more in a coming post) for your corpus:

Corpus creation and maintenance (may change)

Of course, should you have questions, let us know!

The incredible story of a 10 year long fake, success story.

For 10 years. Fake pharmaceutical, fake CEO, real top-notch business school.

It’s the real story of the fake story of Berden and its CEO. Both are the result of a top notch curriculum at HEC in France. [HBR story here]. The course is to control Enterprise reputation and the challenge was to create a Co., Berden, and its CEO, Eric Dumontpierre. And the success was incredible. For 10 years, the CEO was beloved, the company was super visible, to the point a real competitor sent a cease and decease for a… fake product of fake Berden.

The trick: Do not talk to medias

“The students had only one constraint to respect: not to communicate directly with the media. They had to build their reputation organically, by building an online ecosystem of websites and social network accounts where they would publish press releases and other information about the company, its history and activities.”

The method: Spread false…

Recent studies show that false information is easier to peddle than true information

… bold…

Research on the dissemination of “fake news” shows that students have used communication techniques identified decades ago by researchers as drivers of this phenomenon. Readers are more likely to circulate strong stories that evoke emotions such as fear (river pollution), disgust (child labour) and surprise or joy (32-hour work week) than smooth stories.

… repeat, until it sounds true.

Researchers have shown that repetition increases perceived veracity. In other words, familiarity induces credibility.

The fix: Trust profiled medias.

As previously written here, the solution to avoid this chaos is for medias to have clear values delivered and defended by professional journalists. THE weak point, the trick used here is the absence of contact with medias.

Absence of media opens the door to total chaos in education, opinions and decision-making. TrustedOut Corpus Intelligence is here to profile a totally unbiased, AI-Operated, Media database so Intelligence tools are fed with the content business analysts trust.

 

Social vs Traditional Media Analytics.

Do they compare? Are they opposed? Is one already over? 

Yes, Social Media have changed and are changing Business Intelligence. But, while Social Media are definitely newer than traditional media, does it mean, one should be considered and not the other?

How do Social Media and Traditional Media compare?

According to Wikipedia: Social media outlets operate in a dialogic transmission system (many sources to many receivers). This is in contrast to traditional media which operates under a monologic transmission model (one source to many receivers)”

We agree.

Monitoring and Listening apply to both Social and Traditional Media.

“Social monitoring is identifying and responding to individual brand mentions on social media. Social listening, on the other hand, is collecting data from those social mentions and broader customer conversations, and pulling insights from them so you can make better decisions for your customers… Social monitoring is reactive. … where social listening, which is proactive,… allows brands to take those short-term interactions and build them to glean insights for a long-term strategy. … Through social listening, you can also unearth trends among your industry, competitors, and consumer experiences. You can then make necessary changes to stay ahead of the curve and keep customers happy.”- Sprinklr

We agree. For both. Monitoring and Listening apply to Social and Traditional Media. Monitoring is the PR/Alert and Listening is the Intelligence/Analytics part. Matter of fact, the Sprinklr post goes on with metaphors:

“There are many metaphors you can use to make this distinction clearer. Social monitoring is the trees; social listening is the forest. Social monitoring is the pixels; social listening is the picture. Social monitoring is the bandaid; social listening helps you find the cure.”

We agree again. All apply to both Social and Traditional Media.

Social and Traditional Analytics are both mandatory.

From the Public Relations Society of America (PRSA): “Therefore, thinking about both (social and traditional) as steps within finding, converting and keeping customers seems like a mentality shift we all need to make. This has already proven true… the smartest tactics from advertising, public relations, marketing and editorial together, regardless of the type of media. In essence, [clients] are merging social and traditional rather than thinking of them separately.”The Digital Research and Analytics group, a subset of Ketchum 

The mandatory need to profile what you are listening to.

The very same way you want to understand who is talking in Social Media Listening, you must profile the Traditional Media you are analyzing to understand who is talking in Traditional Media Listening.

Intelligence In makes Intelligence Out.

Not knowing the profile of the media you are using for your analytics means not knowing what comes out of your analytics tools.

In other words, not profiling what you feed your tools with, means you are totally wasting your time and money.

All intelligence processes are made or broken by the quality of what they are fed with.

Would you trust, and make decisions based on a survey where you don’t trust the sample used for that survey? (Here’s the wikipedia page on Survey methodology explaining sampling) and thus…

Corpus Intelligence makes Intelligence trustworthy.

TrustedOut Full Overview | Business cases: Content orientations | Media metrics impact | Country comparisons

Update: Traditional news media are back

in the just released Edelman Trusted Barometer

  • The number of respondents who consume traditional news weekly or more, and share or post news content several times a month or more, has increased by 14 percentage points from 26% to 40%.
  • Those who consume traditional news weekly or more has risen by 8 percentage points from 24% to 32%.
  • Inversely, the number of people who say they consume traditional news less than weekly has dropped by over 20 percentage points from 49% to 28%.

Trust in traditional media also continues to increase. According to the survey, trust in traditional media in the U.S. and Europe is higher than trust in search and social platforms. An earlier study from Gallup shows a similar rebound in media trust overall in the U.S.

 

Saving journalism. [updated 2/19/19]

Major Tech Cos to the Journalism Rescue.

In this week’s Axios Media Trends, we can read “Major tech companies and moguls are pouring lots of money into initiatives to support quality journalism, after months of bad headlines about fake news and the longer-term struggles of business models for journalism, especially at the local level.”

Doing it again.

Microsoft President is making a very interesting point:

“I think we should all care about high quality journalism. … I keep hoping that we’re gonna see the journalism profession come out the other end. Remember, a decade ago, people were saying, ‘Gee, there’s no future in high quality audio visual entertainment.’ It [was] being decimated by cable and then a new business model emerged.”
— Brad Smith

Facebook, Google: $300M each.

Large tech are showing signs of love to journalism. After the 200,000 free Google Suite account, Facebook and Google, each are granting $300M to news programs. WordPress is also investing “six figures” in The News Project, a full-service publishing platform specifically built for digital news publishers.

WordPress just announced Newspack in partnership with… Google.

“While local media might not get as much coverage as the national press, it serves an equally important role in society. That’s why the decline of local newsrooms in the U.S. has been a troublesome trend in recent years. The Google News Initiative is now partnering with WordPress to invest $1.2 million in creating a “fast, secure, low-cost publishing system tailor-made to the needs of small newsrooms” called Newspack (backed by Google, the Lenfest Institute, the Knight Foundation, and others.)

Journalism, the cure to media distrust.

As we wrote previously, quality journalism respecting privacy and transparency, delivering the brand values of the media they work for is the solution to the current distrust, driving to misinformation and, ultimately, to violence.

Top 2019 predictions: Privacy and Transparency

Optimism and method for greater trust in media.

A win-win relationship

Large tech, such as Facebook and Google need media. No trust in media means less dialogs online, less traffic for them.

By providing the framework to provide quality journalism AND a more sustainable business, large tech and medias are on a sound win-win relationship.

We will have to watch carefully the dependance on media businesses, but for now, we, at TrustedOut approve those initiatives helping our Corpus Intelligence with solid, well profiled medias.

Update: Pledges to save local news reach nearly $1 billion

Questions? Comments? Contact us!

Behind the Business Case #3: Country comparisons

To pursue on our Behind Business Cases with this 3rd example, we didn’t have the same questions with the field “Country” we had with “Out of Digital”. Country filters are obvious, in particular for marketers, but what didn’t expect was how on eye-opener it would be.

Import an existing Corpus into TrustedOut

Compare countries within the same Corpus

To discover the countries have very different profiles in particular, their taxonomies.

Comparing Apples to Apples

To avoid comparing Culture, Politics and Entertainment with Business, Society and Tech, TrustedOut can align those two countries and have you compare… apples to apples.

Full business case here

Top 2019 predictions: Privacy and Transparency

In this Forbes article, 12 C-level leaders share their predictions for 2019.

Top predictions, results of a lesson learned the hard way: 2019 will be the year of Privacy and transparency.

Hereafter are our favorite parts from the article:

In 2019, Marketers Will Strike the Right Balance of Personalization and Privacy.  Lynne Capozzi, CMO, Acquia

“… 2019 will be the year that marketers not only prioritize data privacy, but they start to get the balance right — offering the appropriate amount of personalization and privacy to build customer relationships based on trust. Consumers will continue to challenge brands to do so — otherwise they’ll move on. …”

Transparency Will Make Much Bigger Cracks Within the Digital Ecosystem as CMOs Prioritize Tech Partners.  Mike Pallad, President, Undertone (cross-platform synchronized digital marketing for the world’s most prominent brands)

“…In the coming year, the demand for transparency will finally force marketers to choose only the tech partners that most empower them to understand the reach, frequency, and impact of their campaigns (across all of their digital partners), allowing them to spend in the most intelligent ways….”

CMOs Will Stop “Going with Their Gut” And Truly Harness Data to Make Informed Decisions.  Matt Sweeney, President of Xaxis North America

86% of US brand marketers plan to invest in outcome-driven media over the next 2 years. In 2019, CMOs will make strides toward outcome-driven media, allowing them to tie their media metrics more directly to their business goals. … By truly harnessing their data, CMOs will no longer need to go with their gut instincts when making media investment decisions. They will be more agile with their budgets and media strategies, using data to deliver better returns and deliver the best consumer experiences.”

Better media, greater profiling.

Our takeaway here is two folds:

An opportunity for an improved trust in better media.

In our previous post, Optimism and method for greater trust in media., we wrote “to improve media should have Journalists to defend themselves and improve with more accuracy, more transparency and less bias with recognized sources and countered partisan perceptions led with their media brand values.”

This prediction confirms our reading of Gallup and Axios.

A strong need for media profiling.

As media strengthen their brand values and, at the same time, Marketers will get less intrusive customer data, they will rely, even more, on analyzing the media pulse within their well defined audiences. This is the market purpose of TrustedOut.

As this profiling must not be biased and permanently updated, only an AI-operated profiling can deliver this. This is the tech foundation of TrustedOut. 

Of course, do not hesitate to reach out if you have any questions.

 

Optimism and method for greater trust in media.

Better but still lower.

According to Axios, “efforts to bring transparency to media — including attempts by journalists to publicly defend their work, media literacy campaigns, more transparent funding and improved fact-checking partnerships — have helped the media recover a bit of trust with the public after hitting an all-time low in 2016″

How to continue to improve?

Journalists to defend themselves…

study from Louisiana State University’s Manship School of Mass Communication suggests that journalists can actually increase trust in the media by speaking out in defense of their profession …

… and improve with more accuracy, more transparency and less bias

… while also doing more fact checking.: Which is second with this “poll by Gallup and The Knight Foundation this year found that efforts to restore media trust among most Americans can work “particularly if those efforts are aimed at improving accuracy, enhancing transparency and reducing bias.”

… with recognized sources and countered partisan perceptions

“people are less likely to perceive a report or set of facts as being biased if they are unaware of the outlet producing them. It concludes that restoring trust in the news media may then require news companies to actually address and counter shared perceptions of bias and inaccuracy within partisan groups.”

… led with their media brand values.

“Transparency in funding can work, too, especially as more news organizations veer away from the advertising-funded model”.”Companies now have to lead with their values and offer transparency in the process,”

Sounds familiar? Yes. It’s all about Brands.

Not only, did we recently shared our takeaways from the 50 Big Ideas for 2019 and the desire for Trust in Brands but TrustedOut is based on the principle that branding in media is the sole solution to fight misinformation.

Values of a brand are the trustworthiness of a media,

A brand will fight for its value, here with media, for accuracy, for its perspective and tone and always deliver what you expect from this brand. An article may, accidentally, be wrong, an author may sometimes be wrong, the only safety net is the brand which will fight back, correct and improve.

In a chaotic and challenging environment, Brand values are the only solutions for stable trust.

Like with cars or food, some people may not like a brand and like another one, but those brands will always deliver, and fight for, the values you expect from them.

This is why, unsurprisingly, those surveys are aligned with our mission at TrustedOut: Focusing and profiling media brands so you can define those you trust and those you don’t. Define your corpus and feed your analytic tools or create your brand safety perimeter of your trust for your strategic decisions.

Did you know we have a FAQ page?

 

Populists/anti-elitists and Right wings share the same views on News Media in France

The illustration above comes from a recent study from Journalism.com (Pew Research)

Importance and trust lowest with Populist/anti-elitist. Not a bipartisan left vs right split.

“In France, 22% of people with populist anti-elitist views say the news media are very important to society, compared with 42% of those without these views. Regarding trust, 26% of people with these views say they trust the news media at least somewhat, compared with 47% of those without these views.

The sense of media importance in France is also divided by left-right ideology; 39% of those on the left say the news media are very important, compared with 23% of those on the right. There are no differences, however, in trust in the news media between people on the left and right.”

Left wing does not follow Populist/anti-elitists. Right wing does.

Does local newspaper decline have an impact?

Like it did in America

The decline of local newspapers impact on democracy.

A new Populist/anti-elitist classification.

Beyond our current, Politically Oriented filter, if this is confirmed we shall add a new filter for Populist/anti-elitists media. Good news. Our AI-operated classification can do it! Want to know how? Ask a question below…

Questions? Shoot!

 

New demo page showcasing TrustedOut and BI, Ads and PR

A new demo page has been added to TrustedOut.com

The scenario

 

ACME is a sport car maker launching a new model extensively using Artificial Intelligence (AI). ACME has 2 main countries, US and France and wonder what market to test first.

1. Corpus Intelligence for Business Intelligence: Market selection.

New corpus, the CMO (or Marketing Manager) defines 3 conditions to be necessary.
a. Where are the publications? We said France and the United States
b. What should these publications be about? ACME wants to grab how AI is perceived from publications covering Politics, for regulations, Law, for any legal aspects, Tech, to gauge technology used and perceptions and, of course, Transportation, for anything car related.
c. Want to be safe from any toxic content? Of course, no fake new and no junk science TrustedOut classification knows how gauge the expertise level of a source and how sensitive to the news the taxonomy should be. At this stage, we want generalist publications by setting the expertise level to “Covered” Here is the corresponding query for our Corpus, which we are going to name “ACME AI in new model”.

Go to the demo page >

2. Corpus Intelligence for Brand Safety & Campaigns. White listing.

ACME’s CMO wants to check if Pure Player Media (media only available online) is a good target. After all, Pure Players should be more reactive and not having to sync print, for example, that can be daily, weekly or monthly, with immediate online publishing. Let’s go back to TrustedOut and change the Corpus as follow: a. Where are the publications? We now want to limit to France. b. Select Pure Players? We want media where “out of digital” is set to None to only get those not publishing on any other support.

Go to the demo page >

3. Corpus Intelligence for Coverage & Content Analytics. PR campaigning.

Digimind gives us the key concepts to write our Press Release: European Union/Commission and Neuronal Networks. With the Corpus we have what publications to target, with those key concepts we have how to write a Press Release that will interest those targets.

Go to the demo page >

Questions? Shoot!