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!

 

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.

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

Behind the business case #2: Media Metrics

Our content team worked very hard to define, what we hope is “the most comprehensive and media profiles database, and select all the necessary fields and always up-to-date taxonomy. Of course, this is an on-going process but so far….

We are today at 66 fields and 450 categories.

Along the way, we challenged ourselves on how insightful a field would be to decide to add it.

“Out of digital” is a field collecting all supports beyond online for a media, such as paper, radio, TV….

Now, the question is: Does it matter? or for TrustedOut goal…

Do Pure Players have an impact on your analytics?

We ran our Corpus Analytics on the Corpus used for the BPI Events:

And did an A/B testing, all media and Pure Players only with 2 versions of a Corpus using the very same analytics tools, here Netvibes, and arrive to the conclusion:

Yes, Pure Players influence your analytics.

So, we kept “Out of digital” for our Corpus Intelligence and now our AI keeps on updating it  at all time.

Continue reading the complete business case…

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.

 

Our take on LinkedIn’s 50 Big Ideas for 2019

Credits: LinkedIn

We liked this LinkedIn’s post and wanted hereafter to share our takeaways (@X refers to the Big Idea X):

The desire.

A. The desire for Trust in Businesses.

Via paying local taxes and regulations @#9. “Governments will seize the opportunity to regulate Big Tech.” and @42. “Order comes to the Wild West of data collection”

Via a clear fear of sizes getting too big “before it’s outside our control and we can’t see the consequences of it” @31. “Businesses will favor integrity over growth.”

B. The desire for Trust in exchanges.

@37. “We will reach peak outrage.

In the last couple of years, public opinion has been driven by “polarized tribes,” says Willow Bay, dean of the USC Annenberg School of Communication and Journalism: “Outrage has been modified, optimized, personalized and, of course, monetized.” Outrage, like fear, is helpful in the short term but unsustainable in the long term, she says. “Many do not want to live in a state of semi-permanent outrage, they’re simply tired of it,” she adds. “And I believe increasingly, people are going to want to reclaim consensus, collaboration and shared values rather than polarizing ones.” While Bay is referring to the United States, any country where people discuss politics on social media will recognize a version of this. She points to a study by More In Common which showed that 67% of Americans did not conform to partisan ideology or had disengaged from politics. They’ve been dubbed the “exhausted majority.””

And, @43. “We will ask ourselves hard questions about what free speech means.”, the classic “Free speech vs diversity and inclusion” on which we posted this a few days ago: “Media trust over education stages

C. The desire for Trust in Brands

@45. “Brands won’t be able to stay neutral. Consumers and employees increasingly expect companies to take a position on the day’s issues and live their values…”

This needs for Brand values to be shared and stood for is in line with the role of Brands as explained and applied by Edward Bernays.

Of course, Brands applies to media brands and thus the need to profile them to build your perimeter of trust, mandatory to feed your analytic tools and guarantee your Brand Safety. This is what TrustedOut is about.

The need.

The need for AI.

@#7. “AI will be in every industry and every job”. Of course, we agree. We are using AI to avoid human physical limitations and bias.

Another way to say it is we believe AI is an element of the desire for Trust.

The need for ethic in AI.

We are aware of the risk of a fraudulent, oriented AI. IBM launched a tool to detect bias in AI , the excellent “Weapons of Math Destruction” (PDF here) and many more… This is why transparency with our AI is key to us, we will not have human entries so everything can be explained, nothing will be editorialized, no judgment, just collections and classifications machine-driven.

This is also why we were super proud to be finalist at the recent “The Robot of the Year” event, focused on Ethic AI.

Reminder: We solely focus on media profiling and are not doing any article fact checking, nor author scoring (Question #4 in our FAQ)

 

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

Following our Introduction to Taxonomy DNA, we would like here to showcase the sensitivity of our AI-operated taxonomy.

Comparing a specialist, Techcrunch, and a generalist, the New York Times – Technology.

Taxonomy DNA views: Both 12/18/18, 3% threshold, 7 day rolling learning (a post on this later on).

Techcrunch

Techcrunch – Taxonomy DNA – 12/18/18 – 3%,7d

The New York Times – Technology

the New York Times – Technology – Taxonomy DNA – 12/18/18 – 3%,7d

Top 10 categories

Interesting to watch the 4 first categories been the same with more on people for the NYT and more on Industries for Techcrunch., then NYT has Law, Politics, when Techcrunch has Finance and Hardware.

Finally, AI was pretty precise to classify Lifestyle and Digital Life for the NYT and Digital Tech for Techcrunch.

Why it matters.

TrustedOut Corpus Intelligence permits our users to create and maintain corpuses, precisely shaping out their definition of their trust for their analytics. With the example above, shall a study be on Tech AND Law, the NY Times – Technology section would be selected and not Techcrunch.

Like for any survey, the sample onto which the survey will be based on, makes or breaks the trustworthiness and the serious of its outcomes.

Trusted in, Trusted out.

Below is an example of the Corpus creation UI in TrustedOut.

The screenshot above comes from the “Country comparisons” Business Case.