TrustedOut and Demand Science: A very exciting new chapter! [updated]

[Click to read the press release]
[Click to read the press release]

We share the same vision.

From day 1, TrustedOut’s vision was to extensively use AI to profile content in an unbiased, universal and always up-to-date way, so our users can define what they trust (and do not trust) for their analytics and keep their brand consistent and safe.

From the beginning of our conversations with Demand Science, we realize it was a meeting of minds. We simply share the same vision.

Better Company Profiles for B2B Pros.

Demand Science is focused on healthy company data and intelligence at global scale. TrustedOut has the technology to connect real-time media content with AI-augmented intent signals, making this data richer and more current:

“The addition of TrustedOut enables us to leverage and accelerate our AI capabilities to predict marketplace intent in ways no one else is doing in the market,” – Pete Cannone, CEO, Demand Science.

We’re on to the Next Chapter. It’ll be Game-Changing.

For 3 years, TrustedOut’s founding team developed a unique AI-powered platform for an holistic content profiling. We did it.

Now, Demand Science is our new, very exciting, chapter.

We couldn’t be happier.

June 2nd Update: Demand Science Named Fast 50 Company by Boston Business Journal for 6th Consecutive Year

Questions? Let us know!

 

Introducing How-Tos

Now available, Tutorials to become a TrustedOut Ninja in Minutes!

Note: Of course, you can read those tutorials but you will need to have an account with us to run those Tutorials. Don’t have one? ask us!

Here are the first 4 tutorials available:

1. Get Profiles on a specific Media

  • Get Media Profile
  • Get Source Profile

Read this tutorial

2. Create a Corpus focused on a single Industry

  • Create an Industry Corpus
  • Get taxonomy mapping and Media, Source Profiles
  • Export to DSP, Analytics and Readers
  • Watch latest classifications

Read this tutorial

3. Map your Market with sophisticated taxonomy queries

  • Create an Economy and Enterprise Corpus
  • Remove sources from an undesired taxonomy
  • Expand to sources from another taxonomy

Read this tutorial

4. URL selection to fine-tune your Corpus

  • Create a Lifestyle Corpus
  • Exclude Twitter Sources
  • Only focus on talkative sources
  • Feed your analytics tools with your Corpus

Read this tutorial

Questions? Let us know!

The political role of Advertisers.

Advertisers have a major role on our society.

Internet has a major role on our society.
Advertising has a major role on the Internet

In other words, Advertisers money fuels web sites that have a major role on our Society. We already know the impact on elections, but is it limited to it?

Advertisers to publicly list where they advertise.

In France, to fight hate speech, Senators passed an amendment in mid-December 2019 on a law named “Avia law” requiring brands to know where their online advertising campaigns are running and to keep a public list of those sites.

Programmatic advertising could be impacted.

Discussions were held on how to make online advertising actors, in particular brands and their agencies, responsible for the financing of illegal content. An amendment by MP Eric Bothorel (withdrawn for now), provided for penalty of up to one year’s imprisonment and a fine of up to EUR 250 000 against advertising brands, their agency representatives and advertising service providers if their advertisements are purchased on sites whose hateful nature has been determined as such by a court decision.

According to The Guardian this French law “could be copied across Europe.”

Helping publishers and advertisers.

On Tuesday, December 17th 2019, the French Senate did adopt a modified version of the original bill:

The new text stipulates in particular that “advertisers shall publish online and keep up to date at least monthly the information relating to the places where their advertisements are placed which are communicated to them by sellers of advertising space on the Internet, pursuant to Article 23 of Law No. 93 122 of 29 January 1993″ (known as the Sapin Law, editor’s note).

Using an AI-powered media profiling 3rd party.

To be efficient, media profiles cannot be self-declared by media themselves. The profiling process must be transparent, unbiased, universal and always up-to-date with the current context.

TrustedOut provides those informations on Media, Sources and/or Articles:

1. To the buyers of ad space.

Say ACME wants to run an ad campaign on media covering the Aerospace and Defense Industry in France.

The corpus will look like this:

Profiling, reporting and updating every month those 90 media, 171 sources, 2+k articles a day, can be cumbersome and open to mistakes.

Instead, TrustedOut produces those reports on a media, say here “Lignes de Defense”, showing toxic profiling, such as Hate news, but also Political orientations and the sources qualifying for the campaign.

In this report, and over the past 30 days, the media and all its sources have covered the following classifications:

ACME, the advertiser, combines the white list of its campaign and the reporting desired by the coming laws.

2. To the sellers of ad space.

Lignes de defense can produce a report solely focused on its media with all combined sources, or a report per source.

In addition, Lignes de defense can dig into each article it publishes and view how the article is profiled.

We do encourage to (re)read the 2 posts on article classifications sensing Editorial Orientations

AI-powered classifications vs Keywords. Part 1/2: Editorial Orientations detection.[updated]

and this one on how classifications evolve over time

AI-powered classifications vs Keywords. Part 2/2: Evolution over time.

Bottom line:

  • Advertising money plays a role in our society
  • Governments will want Advertising money to be publicly showing what type of content it finances
  • A 3rd party, unbiased AI-powered profiling resource like TrustedOut is key.

Questions? Let us know!

Lessons for growing publisher revenue by removing 3rd party tracking* – Updated

The ad market is shaking. We wanted to share 3 articles we found interesting:

“Returning to media planning” in Ad-Exchange.fr

We are on the verge of returning to media planning techniques (versus audience planning). – Antoine Saglier, Managing Director – ZBO Media

End of cookies: what will the value of the digital advertising market be based on?
(article in French, translated with Google Translate)

The New York Times says it won’t use identity tech like Unified ID 2.0 – Digiday

“We don’t look favorably on solutions that in the end are still about a lot of data transfer about individuals’ online behavior in ways they don’t understand.” – Allison Murphy, SVP of Products, Digiday

The New York Times says it won’t use identity tech like Unified ID 2.0

Everybody hates “FloC”* – ArsTechnica

“[Google’s framing of the issue] is based on a false premise that we have to choose between ‘old tracking’ and ‘new tracking.’ It’s not either-or, instead of re-inventing the tracking wheel, we should imagine a better world without the myriad problems of targeted ads.” – Electronic Frontier Fondation (EFF)

* FLoC: Federated Learning of Cohorts or FLoC, Google’s latest targeted advertising experiment.

Everybody hates “FLoC,” Google’s tracking plan for Chrome ads

Original article:


*Source: Brave https://brave.com/publisher-3rd-party-tracking/

The end of 3rd party cookies

On January 14th of this year, Google wrote: Building a more private web: A path towards making third party cookies obsolete

How personal data are “broadcast”.

We highly recommend this document, “Behavioural advertising and personal data”, from Dr Johnny Ryan, where we can read:

“…every time a person loads a page on a website that uses real-time bidding advertising, personal data about them are broadcast to tens – or hundreds – of companies. Here is a sample of the personal data broadcast.

●  What you are reading or watching
●  Your location (OpenRTB also includes full IP address)
●  Description of your device
●  Unique tracking ID or a “cookie match” to allow advertising technology companies to try to identify you the next time you are seen, so that a long-term profile can be built or consolidated with offline data about you
●  Your IP address (depending on the version of “RTB” system)
●  Data broker segment ID, if available. This could denote things like your income bracket, age and gender, habits, social media influence, ethnicity, sexual orientation, religion, political leaning, etc. (depending on the version of “RTB” system)”

“We used to read the newspaper, now the news reads us.”

This quote from the Global Editors Network. We strongly encourage you to read the article using the quote as a title and try the section “What happens when you read an article online”. Below is a screenshot for Spiegel.de

1 out of 5 happy for their data to be shared (UK, 2017)

In 2017, GFK was commissioned by IAB Europe (the AdTech industry’s own trade body) to survey 11,000 people across the EU about their attitudes to online media and advertising. GFK reported that only “20% would be happy for their data to be shared with third parties for advertising purposes”. [source]

Finding#1: Removing 3rd party tracking/AdTech and investing in Context increases revenue!

The first chart and the chart below are from the article from Brave.com, “lessons for growing publisher revenue by removing 3rd party tracking” both demoing the revenue increase is attributable to removing 3rd party tracking and adtech.

NPO and its sales house, Ster, invested in contextual targeting and testing, and produced vast sales increases even with sites that do not appear to dominate their categories.

The Covid-19 market shock shifted the market from video to display

Finding#2: “legitimate publishers of all size can increase revenue”. The New York Times example…

On their site, Open.nytimes.com, they wrote: “As of April 2019, we [The New York Times] removed all third-party data controllers from our homepage, section fronts and articles. … This reduced the amount of data we shared with third-party data controllers by over 90 percent. We are working on ways to improve this number…”

Finding#3. “Context is powerful.”

“NPO properties now provide no geotagging, no frequency capping, and no cross device measurement. Despite the absence of these features, extensive testing with advertisers has proven that the ads are effective, and advertisers are spending more with NPO than before.”

Next read:

TrustedOut partners with Xandr to bring new intelligence in targeting capabilities

Introducing the Brand Safety Report

The game is rigged: A former marketer shows you how Big Tech’s advertising practices harm us all

You have questions? Let us know!

contact@trustedout.com

or

TrustedOut Benefits. For Advertisers and Publishers. For Brand Managers and Analysts.

Mouse over to zoom.

For the Advertiser:

The need for a new source of intelligence in targeting

Advertisers want a perfect targeting for their campaigns. With the end of 3rd party cookies, Advertisers will have to rely on other sources of intelligence to target the perfect page for ad insertions.

No self-declaration. No bias.

TrustedOut is totally independent from any preset lists and is entirely powered by AI using countrywide published content. This guarantees our content profiling to be unbiased, universally able on any matter and always up-to-date. We do NOT use any self-declared data coming from anyone. We listen, profile. All the time.

Dialect detection means no dependence on keywords.

How can you, for example, target the Healthcare Industry? With a list of keywords? Who did it? Is it up-to-date?… Hard to manage. Instead TrustedOut listens and profiles everything published and keeps on learning the words and expressions, the “dialects” (or “bags of words”), for each and every classification. This way, the definition of “Healthcare, in our example, always captures the words and expressions used for this targeting. No worries. No lists, potentially biased and out-dated. You are covered. Always.

Profiling Intelligence must be at insertion time.

Content perception varies upon time. A page/an article can be perceived primarily in one classification and, over time, in another one. In this example, we see first “Employment” at publishing time and 3 weeks later, “Seniors”. Same with the dialect words and expressions, it all evolves over time which is key for a perfect targeting.

 


For the Publisher:

The need for a precise, external and unbiased product pulse.

Like any business, publishers need a trustworthy, unsolicited, unbiased look at what they publish. This goes for articles, feeds/sources and the whole media (distinct domain). Not only this is critical to pilot a business but also to compare with others.

The end of self-declarations for special ops.

TrustedOut provides always-up-to-date profiling of a section or the whole of a media. It also provides trends which can be compared. The end of self-evaluations, self-declarations for a more trusted relationship with your sponsors and commercial partners.

Editorial trends and KPI measurement.

TrustedOut profiles published and exposed content. All of it and at all time. This means measuring editorial trends and positioning. Amongst a media and across a market, a region or a country. Mapping Editorial trends pictures how one reacts to a matter in depth and in time. Finally, it also measures performances and the balance of demand/delivery.

 


For the Brand Manager:

Brand Consistency Builds Brand Awareness

Marketers know Brand Consistency is key to build and keep awareness and credibility. To keep brands consistency, brands must be totally safe and not appear in an environment not consistent with its values. TrustedOut allows Marketers to define the content appropriate for their brands and get corresponding Whitelists where to deliver the right communication.

Consistency, inside and outside.

Branding is not reserved to marketers. Everyone within an organization, employees, board members, partners and, of course, customers and prospects should all have access to a curated list of sources related to the brand.

Consistency in PR goals and measurements.

Direct your PR efforts to where you want your brand to be and use our instant profiling to measure evolutions and progresses. Define KPIs with your PR departments and measure your ROI on a classification, a perception, a competition.

 


For the Analyst:

Must trust the Content in to trust the decisions out.

The mandatory first step in any analytics is to trust the content/data you are going to analyze. If you do not, results will be unreliable and worst, decisions you are going to make might be dangerous and disastrous to your business and brand. Bottom line: if no trust in, then no Trust Out.

Who reacts to what, and how.

Analyze how an event, product launch or local news, are classified and where. A great source of insights on how to prepare for a new launch or positioning.

Watching the future.

Industries keep on evolving. Be on alert about what technology is popping up, how it is received amongst content oriented, political or else, and where it is happening.

Let’s talk?

Comparing humorous/satirical sites in the US vs France (update: 4/2021 vs 8/2020)

For today’s post, we decided to compare editorial focuses for media spotted as humorous/satirical vs August last year.

USA:

  • Politics replaces Sports
  • Lifestyle is lower, Education is higher

France:

  • Society is now #1, Politics #2
  • Lifestyle is lower.
  • Still high on Sciences (vs US)
  • Life and Biological Sciences now in Top 6. Economy and Enterprise is out.

Aug 24th 2020 Post:

Editorial focuses of sites spotted as Humorous/Satirical:

Above are the Editorial Radars for the sites spotted as humorous or satirical in the US and in France.

Below are the weighted editorial focus (above 1% and as of August 17th)

Quick points:

Scope:

    • All about People in the USA.
    • Wider in France with People, General and Sciences.

Lifestyle:

    • More masculine than feminine in the US
    • Masculine, Feminine, Home higher in the US
    • Child and Teen and Youth in France

Culture and Arts:

    • 2x more in the US

Entertainment and Leisure:

    • High and only in the US

Society:

    • Political Engagement, way higher in France.
    • Religion present and equivalent in both countries.

Politics, Economy and Enterprise:

    • In line with Society > Political Engagement, Politics is High and only in France.
    • Union high in Economy and Enterprise in France.

Education, Sports:

    • Both only in the US.

Sciences:

    • Only in France.

Why it matters:

Understanding how humor and satire is played out matters for your communication campaigns to get the perfect messages at the perfect place.

Want to know more? Let us know!

contact@trustedout.com

or

 

AI-powered classifications vs Keywords. Part 2/2: Evolution over time.

For content selection: AI-powered classifications can sense Editorial Orientations AND Evolution over time. Keywords cannot.

For years, access to knowledge was all about the presence or absence of keywords to trigger the selection of content: A 1-dimensional access, keywords based, to knowledge. Linear. Limited to 0 (absent) or 1 (present).

Last week, we covered the first advantage of AI-Powered Classifications vs keywords based selection, Editorial Orientations, and showed how the same event, on 3 different publications can have different Editorial Orientations.

This is an additional dimension to access knowledge.

Read postLet’s now have a look at a 3rd dimension: Sensitivity over time.

Perception of an event evolves with time, so do our AI-Powered classifications.

France has been through a lot of social movements with the pension reform the French government is pushing for.

From the beginning of the protests until now, the perception has evolved.

Let’s look at the same article and how AI classifies it at two different times.

This article was published on Dec 10th 2019:

Pension reform: “It would be a misdiagnosis to talk about minced runs.”  [google Translation] (Réforme des retraites: “Ne parler que de parcours hachés serait une erreur de diagnostic”)

On Dec 10th, top classification was:

We are at the beginning of the movement, Employment and Unemployment is the top classification.

On Dec 31st, top classifications are now:

3 weeks later, the very same article with the very same content is classified as Senior first, then Social Assistance and, now in 3rd, Employment and Unemployment

Clearly, after 3 weeks of protests, Aging and Social are topping the Employment dimension.

How can AI-Powered Classification do this?

In a previous post, we explained how our AI worked:

How our AI-powered classification works.

Every new article is classified as follow:

Which means the day the article is published, we use Classifications Datasets (aka bags of words) on that very day.

Classification Datasets are also updated to sync with every single classification and sense the depth of expertise over time. This means some words can be in and out and with a different weight over time. This means classifications are set, by default, for the day an article is published but can be re-run on a different day and produce a different classification. Like in real life, your perception of something evolves with time.

Why it matters.

Simply because time is a vital dimension of perception.

Simply relying on the presence of keywords to select content for analytics, expose your brand via advertising etc… is dangerous.

What’s true at publication time might not be at analytics time, or advertising time…

In the example above, you may or may not want articles about “Seniors”. At publication time, the article was under the radar, 3 weeks later it is classified as “Seniors”. Is it still where your brand wants to be exposed? are those content the one you want to analyze today? do those articles matter for the education of your teams?

Relying on keywords that are present in content forever, not only does not give you the orientation of the content but is not sensitive to the evolution of perception. And as we know, in Marketing:

Perception is reality.

Questions? Ask!

 

AI-powered classifications vs Keywords. Part 1/2: Editorial Orientations detection.[updated]

Going beyond a 1-dimensional access to knowledge.

For years, access to knowledge has been ruled by keywords presence. Search engines, corpus selection for business intelligence, DSPs for online advertising, Brand Safety, Watch alerts…

All is about the presence or absence of keywords to trigger the selection of content: A 1-dimensional access, keywords based, to knowledge. Linear. Limited to 0 (absent) or 1 (present).

Keywords presence does not sense angles, subtlety and orientations taken by the author (nor the sensitivity over time. Today’s meanings are the same any other day).

For example, the presence of “Christmas gift” might be “ok” but is it in a context of “Military defense” and “Weapon”? Can you maintain queries excluding all related, always evolving dictionaries of synonyms and be sure your brand won’t be exposed?

After all, a word can have several meanings depending on its context and the time it is read. AI-Powered Classifications are the solution:

AI-Powered Classifications are adding 2 more dimensions: Editorial orientations and timing context.

Today, we will focus on editorial orientations detection.

Next week, we will explain the sensitivity to the time of publication.

[update] The second part is now published:

AI-powered classifications vs Keywords. Part 2/2: Evolution over time.

Both, AI-Powered Classifications and keywords based selections are unbiased, universal and up-to-date. Because TrustedOut is AI-Powered, our machine learning guarantees the same non-humain, machine powered benefits.

Editorial Orientations Example:
1 event, 2 countries, 3 articles, 10 classifications.

The event: let’s take North Korea announcing a special Gift to the US.

The 2 countries: We then selected 3 articles from a Google Search on “North Korea Gift” for the US and “Coree du Nord Cadeau” for France.

The 3 articles: we randomly picked USAToday, CBSNews and Le Figaro.

Here are the top 10 classifications TrustedOut came up with. For each we’ve added how the media is spotted for its Political Orientations (beta)

USAToday

Vase or missiles? US awaits Christmas ‘gift’ from North Korea’s Kim

1 General › Politics › Diplomacy
2 General › Politics › International
3 Industries › Aerospace And Defense › Weapon
4 General › Politics › Military Defense
5 General › Politics › Civil Defense
6 Industries › Energy › Nuclear Power
7 Industries › Aerospace And Defense › Naval System
8 General › Politics › Administration
9 Industries › Aerospace And Defense › Aerospace Systems
10 General › Politics › Government

CBSNews

No sign of “Christmas gift” from North Korea yet, but deadline looms

1 General › Politics › Military Defense
2 Industries › Aerospace And Defense › Weapon
3 General › Politics › Diplomacy
4 General › Politics › International
5 Industries › Aerospace And Defense › Naval System
6 Industries › Aerospace And Defense › Aerospace Systems
7 Industries › Aerospace And Defense › Missiles And Rockets
8 Industries › Energy › Nuclear Power
9 Industries › Aerospace And Defense › Satellite
10 Industries › Transportation › Ship

Le Figaro

Trump is hoping for a “nice vase” instead of a North Korean missile for Christmas. (Trump espère un «beau vase» au lieu d’un missile nord-coréen pour Noël)

1 General › Politics › Diplomacy
2 Industries › Aerospace And Defense › Weapon
3 Industries › Aerospace And Defense › Aerospace Systems
4 Industries › Aerospace And Defense › Missiles And Rockets
5 General › Politics › International
6 General › Politics › Military Defense
7 People › Society › Opinion And Idea
8 Industries › Aerospace And Defense › Satellite
9 General › Law › International
10 Industries › Aerospace And Defense › Aircraft

Editorial Angles

Here’s a summary of the classifications for the 3 articles:

A few remarks:

  • USAToday and Le Figaro top classification is Diplomacy. CBSNews is Military Defense

  • The 2 US articles have the same top 4. (in a different order)

  • Le Figaro does not have Nuclear Power in its Top 10

  • All have Military Defense. Only USAToday has Civil Defense

  • All have Aerospace and Defense > Weapon in their top 3

  • Only Le Figaro has Society > Opinion and Idea and Law > International in its top 10

  • For Industry > Aerospace and Defense, USAToday has 3, CBSNews has 4, Le Figaro has 5 out of their Top 10.

Here’s how TrustedOut saw the Aerospace and Defense Industry, back in October:

Corpus Intelligence for an Industry: Aerospace & Defense – October 2019

Next: Evolution over time.

How AI-Powered Classifications are sensitive to the time of publication: Meaning, Classifications evolve with the time as our “bag of words” are permanently updated and why it matters… Continue to part 2/2

Questions? Ask!

Lessons for growing publisher revenue by removing 3rd party tracking*

*Source: Brave https://brave.com/publisher-3rd-party-tracking/

The end of 3rd party cookies

On January 14th of this year, Google wrote: Building a more private web: A path towards making third party cookies obsolete

How personal data are “broadcast”.

We highly recommend this document, “Behavioural advertising and personal data”, from Dr Johnny Ryan, where we can read:

“…every time a person loads a page on a website that uses real-time bidding advertising, personal data about them are broadcast to tens – or hundreds – of companies. Here is a sample of the personal data broadcast.

●  What you are reading or watching
●  Your location (OpenRTB also includes full IP address)
●  Description of your device
●  Unique tracking ID or a “cookie match” to allow advertising technology companies to try to identify you the next time you are seen, so that a long-term profile can be built or consolidated with offline data about you
●  Your IP address (depending on the version of “RTB” system)
●  Data broker segment ID, if available. This could denote things like your income bracket, age and gender, habits, social media influence, ethnicity, sexual orientation, religion, political leaning, etc. (depending on the version of “RTB” system)”

“We used to read the newspaper, now the news reads us.”

This quote from the Global Editors Network. We strongly encourage you to read the article using the quote as a title and try the section “What happens when you read an article online”. Below is a screenshot for Spiegel.de

1 out of 5 happy for their data to be shared (UK, 2017)

In 2017, GFK was commissioned by IAB Europe (the AdTech industry’s own trade body) to survey 11,000 people across the EU about their attitudes to online media and advertising. GFK reported that only “20% would be happy for their data to be shared with third parties for advertising purposes”. [source]

Finding#1: Removing 3rd party tracking/AdTech and investing in Context increases revenue!

The first chart and the chart below are from the article from Brave.com, “lessons for growing publisher revenue by removing 3rd party tracking” both demoing the revenue increase is attributable to removing 3rd party tracking and adtech.

NPO and its sales house, Ster, invested in contextual targeting and testing, and produced vast sales increases even with sites that do not appear to dominate their categories.

The Covid-19 market shock shifted the market from video to display

Finding#2: “legitimate publishers of all size can increase revenue”. The New York Times example…

On their site, Open.nytimes.com, they wrote: “As of April 2019, we [The New York Times] removed all third-party data controllers from our homepage, section fronts and articles. … This reduced the amount of data we shared with third-party data controllers by over 90 percent. We are working on ways to improve this number…”

Finding#3. “Context is powerful.”

“NPO properties now provide no geotagging, no frequency capping, and no cross device measurement. Despite the absence of these features, extensive testing with advertisers has proven that the ads are effective, and advertisers are spending more with NPO than before.”

Next read:

TrustedOut partners with Xandr to bring new intelligence in targeting capabilities

Introducing the Brand Safety Report

The game is rigged: A former marketer shows you how Big Tech’s advertising practices harm us all

You have questions? Let us know!

contact@trustedout.com

or

Building a Corpus and Getting relevant articles from a list of articles.

Last week we demoed how, from a list of URLs, you can optimize your communication! This week, we will show you:

How to create a Corpus to feed your analytics tools and get more relevant articles from your selection of articles.

In other words: How can I get more of those articles I find relevant for my analytical/survey/study project?

Like last week, we will preserve the confidentiality of those involved in this real business case by not revealing names or original articles.

1/ The case: A study about a special look at Sports

Client is on a study about some specific aspects of Sports and gave us a list of few articles found interesting to explore.

They need more of those articles and, ultimately, feed their analytics tools with a Corpus made and always up-to-date with relevant sources.

2/ Learning from the classifications of those articles

As mentioned above, we will not share those articles to preserve the confidentiality of the client.

Here are the top, weighted classifications from the articles list:

3/ Creating a Corpus from those classifications

Client told us Sports was the target, so we’ll ask TrustedOut for Sources specialized in all Sports.

And will add the condition that those sources are covering one or more of the top classifications found above: Fashion, Communication and/or Digital Life.

Also, client wants to use the articles he gaves us found in France to explore a new market: the US.

From a list of french articles to a US-France Corpus

Mouse over to zoom. Click to full screen

TrustedOut returns 59 Medias, 96 sources representing an average close to 250 articles per day.

Here are 3 examples of sources found for this Corpus and their respective main profiles over the past week

Footpack

  • People › Sports › Football And Soccer | 31.8%
  • People › Lifestyle › Fashion | 21.8%
  • People › Lifestyle › Luxury | 17.2%
  • People › Sports › American Football |7.0%
  • People › Sports › Cycling | 5.9%

Complex

  • People › Lifestyle › Fashion | 14.6%
  • People › Entertainment And Leisure › Celebrities | 11.3%
  • People › Culture And Arts › Music | 10.9%
  • People › Culture And Arts › Movies | 4.9%
  • People › Entertainment And Leisure › TV And Video And WebTV | 4.0%

Highlights Football

  • People › Sports › Football And Soccer | 31.5%
  • People › Sports › Table Tennis | 19.6%
  • General › Tech › Software And OS | 12.8%
  • People › Sports › Basketball | 11.3%
  • General › Tech › Digital Life | 10.5%

4/ Reading targeted articles

Let’s get the latest articles from our Corpus.

Below is what the beginning of the list of those articles looks like with URLs, time stamps and classifications for each relevant article.

Fashion classified articles?

Fashion, as seen above, was the top classification found from the list of articles that were given to us.

How about getting articles from our Corpus classified in Fashion?

Simply select this classification in the list of articles coming from your TrustedOut Corpus! Here are the first 2:

Want to read them?

Les maillots de gardiens 2020-2021 d’Umbro s’inspirent des annees 90

Best Outdoor Gear Deals of the Week | GearJunkie

Why it’s so critical?

The Corpus makes or breaks any analytics.

No matter how smart your analytics algorithm is, if you feed it with too few, too biased, too outdated, too broad… not only will you get twisted results from your genius algos but, worst, decisions made from it will be wrong and untrustworthy.

Trust your Corpus to Trust your Decisions.

We’ve shared 2 ways to build a trustworthy Corpus:

Criteria-based Corpus creation:

TrustedOut was made to get content corresponding to profiles you trust for a specific purpose.

Example-based Corpus creation:

These two last posts demoed how you can get more from a list of articles/URL.

Questions? Reach out!