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?

Coronavirus impact on Brands Trust (and our contribution)

“It takes 20 years to build a reputation and 5 minutes to ruin it…

… if you think about that, you’ll do things differently” – Warren Buffett

That was a post we wrote in June 2019.

“It takes 20 years to build a reputation and 5 minutes to ruin it…

Brands behaviors on Coronavirus impact their trustworthiness.

We highly recommend reading the most awaited 2020 Edelman Trust Barometer. This post is about our takeaways, focused on the vital trust in Brands

 

 

Solve, don’t sell.

Out of Edelman’s 5 recommendations, the 3rd one, Solve, don’t sell, resonates the most with us.

Brands vs Gov.: Critical. Faster and more effective.

More than ever, Trust in a brand is very meaningful, if not emotional. People believe Brand are playing a critical role in addressing the crisis and, believe Brands respond faster and more effectively than the government.

Brands to help gov. (not the other way around)

Brands to be a reliable news source.

Remember this recent post? Coronavirus amplifies the gap in trust showing, and it’s no news, distrust in News Media.

Coronavirus amplifies the gap in trust.

Well, Trust in Brands also means serving as reliable source:

Think People, not Business.

Under attack, and especially one of this magnitude, people matter. All of them, inside and outside your brand reach.

And, of course, what you produce must help with its purpose and be affordable.

Now is not the time for wild creativity in product launches and commercial campaigns.

Don’t hide, Be visible. Reassure. Strengthen your brand trust.

Do not stop communicating. To the contrary, reassure on your brand values and apply the advices above.

To apply those advices on ourselves:

Our contribution:
TrustedOut in April. Free.

For brands (US or France)

You are the Manager of a recognized brand in the US or France, contact us and we’ll help you build the perfect whitelist for your next ad campaign.

For analysts (US or France)

Your are an analyst for a solid Business in the US or France, contact us and we’ll help you create the perfect corpus to trust the sources and thus, trust your decisions.

Interested? Reach out here:

Coronavirus amplifies the gap in trust.

Remember the split in trust in Media between Republicans and Democrats?

Trust in Media: GOP 33%, Dem. 66%

Source: Edelman

We wrote this:

Impact on brands? Trust in Business vs Media likely tells political orientation.

Coronavirus update: GOP 25% (-8%), Dems 61% (-5%)

We highly recommend reading this article from Axios

“Americans are largely approving of how U.S. institutions and leaders are responding to the coronavirus situation.

Hospitals are held in the highest regard during this health crisis, consistent with the high trust and ethical ratings medical and health workers receive in normal times.”

Appraisals evolve over time. So do our classifications.

As we wrote here, our classifications operated by Artificial Intelligence are the only ones to capture and update over time:

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

Why it matters to Brands?

As we wrote, 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?

Consumers believe brands intentionally place ads

Brands must be careful with where their ads appear as consumers associate the brand with the content around.

Not only for Brand Safety violations but for Political orientations.

“Whitelisting, which only allows ads to be placed in approved environments, may in fact be the best brand safety insurance.” – AdWeek

We have the solution:

Contact us:

Impact on brands? Trust in Business vs Media likely tells political orientation.

This post is inspired by a PEW Research Center survey and a Journalism article about this survey. We highly recommend reading both.

A split over Business and Media.

Trust Businesses? you’re likely a Republican.

Trust Media? you’re likely a Democrat.

A very interesting look at our polarized views.

Tell me what you read…

Political moderation means Trust moderation.

Unsurprisingly but data proven hereafter:

“In recent years, partisan media divides have grown, largely driven by Republican distrust”

Why it matters to Brands?

As we wrote, 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?

The political role of Advertisers.

Consumers believe brands intentionally place ads

Brands must be careful with where their ads appear as consumers associate the brand with the content around.

Not only for Brand Safety violations but for Political orientations.

“Whitelisting, which only allows ads to be placed in approved environments, may in fact be the best brand safety insurance.” – AdWeek

We have the solution:

Contact us:

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!

Solutions for Online Advertising

1. Brand Safety | 2. End of Cookies | 3. Reporting Laws


1. Brand Safety: What we are fixing:
How can we make sure a Brand is totally safe?

A major issue. Brands take years to build and can be detroyed in a moment. To avoid having your brand displayed in an unsafe environment, the brand must define what is safe and build a whitelist accordingly.

How we are fixing it:
Build and Manage your Whitelist with your definition of what is safe for your Brand.

Create a Corpus corresponding to the media profiles safe for your brand:

For a campaign, you are looking for media and sources:

  • Widely covering Driving as a Lifestyle during the past Quarter in America
  • But not related to Racing, cars or motorbikes
  • And without any political orientation
  • And not perceived as Fake or Hate news

TrustedOut, at this very moment, found 2,667 media and 6,017 sources. Finding corresponding sources is important to laser target part of a media. Click on [Get] to have a look at the list. You can always fine tune the list with more conditions…

Ready? click on [Download] and [Media (CSV)] to download your whitelist.
You can also [Connect] with your DSP so updates on the list get sync’ed with your DSP.

Bottom line: The whitelist is made of media profiles you select.


2. End of Cookies: What we are fixing:
How to target audience in absence of cookies?

Following Apple, Google has announced the end of cookies, and context, which means targeting will no longer be done using these classic methods.

How we are fixing it:
Grab Intelligence from the targeted article’s classifications.

Without insights from cookies, most of the intelligence resides in the article where the ad might be placed and its URL.
From the previous corpus, you can visualize how articles from a sources are classified.
For example here, from the Media “InsideEVs”, we have for the source “InsideEVs – Features” the following articles:

The URL indicates the source (feed) which is also profiled giving even more intelligence on the article.

Furthermore, Classifications of an article not only detect editorial orientations not dependent on the presence or absence of keywords but those classifications also evolve over time. Meaning what is perceived in a way at publishing time, might be perceived in a different way later… This is a unique guarantee ad targeting, and thus Brand Safety, will remain relevant and secure over time.

Read Classification vs Keywords to understand the huge benefits of Editorial Orientations AND the evolution of classification over time.

Classification vs Keywords


3. Reporting laws: What we are fixing:
How to deal with government reporting laws such as the Avia law?

    • First France and, according to the Guardian, other countries will follow, Brands will have to display, on a monthly basis, sites where they bought advertising. A way to show who finances who.

How we are fixing it:
Report Media with their profile made by TrustedOut. AI-Powered. Unbiased, Universal and always Up-to-date.

    • Reporting laws, such as the “Avia law” in France are explained here:

The Political role of Advertisers

    • To follow up on previous example above, a brand advertising on “Inside EVs” could link to this TrustedOut Media Profile

Corpus
 

 

Demo

This Solution is also available here.

Questions? Let us know!

AI-managed taxonomy to keep up with language evolutions.

Measuring against datasets.

We explained in the following post how our classification works:

How our AI-powered classification works.

For the taxonomy, words from articles are measured vs Classifications datasets (a.k.a. Bags of words)

To gauge how a media is perceived, we, this time, measure what is said vs Perceptions datasets


Matching and weighting are making the score of the document. This is how we know where an article belongs and its level of expertise/severity.

AI to keep datasets permanently relevant.

The perception we have on an event evolves over time. So should the classification of this article. To make it happen, we keep the datasets always up-to-date. As seen in last week post, the classification of an article evolves with time:

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

 

The evolution domino effect: Languages impact datasets, which impact taxonomy.

The way we talk about something evolves with time. In fact, the dialect of the tribe made of people concerned about something evolves over time. More specific, cooler, geekier, newer… whatever is the reason, we love changes, we love new ways to express ourselves.

Datasets updates. Permanently.

Datasets must be rebuilt and updated permanently to catch new words, new importance on words, up and down, and the disappearance of some.

Overlapping intelligence. On watch.

As datasets evolve they may make a classification overlap over another which will weaken the taxonomy.

We measure overlapping, permanently as well, and if one is detected the taxonomy evolves consequently.

Recommended (re)Read:

Trusted Content as a Utility

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

Questions? Shoot!

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 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, 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.

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!

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!

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!