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…

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.

 

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…

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.

 

 

B2BX: TrustedOut implements Keycloak for its user management

TrustedOut has selected Keycloak, an open source Identity and Access Management solution from RedHat (recently acquired by IBM for $34B) for its user management.

The perfect B2B eXperience.

Keycloak allows TrustedOut Corpus Intelligence to offer:

One login and multiple accounts? Ok.

Clients with multiple accounts, such as regional marketing managers, will be able to move from account to account without remembering and re-enter any password.

Social logins? Yop.

Clients can continue to use their social login, such as Google, Twitter or Facebook to get into their TrustedOut account. They can also authenticate with existing OpenID Connect or SAML.

Large corporation ready? Absolutely.

Your company uses LDAP or Active Directory servers? TrustedOut can use those and connect in no time.

Frictionless access to Corpus outcomes? Of course.

Getting in TrustedOut with your existing credentials  is good but getting TrustedOut’s outcomes, medias, feeds and article abstracts without any additional signing efforts is even better. The whole experience is totally frictionless. 

Security first? Sure!

Thanks to Keycloak, which is extensively used here, TrustedOut complies with standard protocols and provides support for OpenID Connect, OAuth 2.0, and SAML.

A huge thanks to