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!

 

Listen and watch content you trust – TrustedOut and RSS Readers.

Read what’s happening in your Corpus.

Let say you’d like to listen and watch Car Racing in Specialized sources in the USA.

Your Corpus query will look like this in TrustedOut:

Click on [Get] to have a look at those 21 feeds (sources) from 10 media

And download the OPML file of your Corpus

You will get this file (download it to play with it)

Download OPMLRead your Corpus with your favorite RSS Reader

There are plenty of excellent RSS Reader. Here are 2 examples:

Example #1: Feedly

Find “Organize Sources” and click on “Import OPML”

Select the OPML file from above and enjoy reading…

Example #2: Inoreader

Once logged/signed in, Go to Subscriptions > Manage Subscription > Import/Export and select the OPML of your Corpus

Enjoy reading…

Search within articles, alerts, newsletters…

Our 2 examples above offer both Searches (Inoreader offers it with the free account), Alerts and even team newsletters.

Get your selection of sources you trust with TrustedOut and enjoy reading, searching, alerting and spreading with your choice of RSS Reader…

Questions? Shoot!

 

 

Should governments deal with fake news?

In this article, “Singapore just used its fake news law. Critics say it’s just what they feared“, CNN Business explains why the new anti-fake news law in Singapore produced what they feared most: “increased censorship and official overreach in a country where freedom of expression is already under pressure.”, adding: “This week’s events suggest those fears may be justified.”

“as required by Singaporean law.”

We won’t debate on the two articles under the scrutiny of the Singapore government, but rather focus on one thing very important for us:

Censorship must be and remain personal.

It is always dangerous to leave to someone what you can read and cannot.

CNN reports: “Government ministers can decide whether to order something deemed fake news to be taken down, or require a correction to be put up alongside it. They can also order companies such as Facebook (FB) and Google (GOOGL) — both of which opposed the bill — to block accounts or sites spreading false information.

The government can also prosecute individuals with fines of up to 50,000 Singapore dollars (about $36,000) and/or up to five years in prison. If the alleged falsehood is posted using “an inauthentic online account or controlled by a bot,” the potential fine rises to 100,000 Singapore dollars (around $73,000), and/or up to 10 years in prison.

Companies found guilty of spreading so-called fake news can face fines of up to 1 million Singapore dollars (roughly $735,000).”

Again, we, TrustedOut do not defend the spread of fake news or any offending content but we believe, for the most part, news can be seen as fake for some people and not fake for others, thus, censorship should be and remain Personal.

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

In a previous post, we wrote:
“Misinformation and biases infect social media, both intentionally and accidentally. This highly recommended article from The Conversation exposes 3 types of bias identified by Indiana University. Hereafter are our takeaways… Continue reading

Trust, Media and Democracy

Related to this matter, we also wrote on the excellent Knight Foundation 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…  Continue reading

Define the content you trust for every segment of your business.

Hereafter is an example of an Enterprise organized by Industry. Also applies to any other type of business organization.

Want to give it a try?
Contact us!

Create a corpus from a list of articles (ex. here: popular on Facebook).

You want to create a Corpus of Media for your analytics and/or a whitelist of media similar to a list of articles?

Here is how Corpus Intelligence can help in 3 steps:

Step 1. Collect Materials.  

Let’s start with a list of popular articles: Today, the Top 15 of the most engaged articles on Facebook in Sept 2019

In this article you can find the following top 15 articles:

Table to show the top 15 web stories on Facebook in September 2019, ranked by engagement

Step 2. Understand Profiles

From the list above, we’ve collected the profiles of  the corresponding media.

Here are the top 30 most popular classifications from our 3-level AI-powered taxonomy.  

This means the top 5 most popular media types are:

  1. Politics
  2. Law
  3. Entertainment and Leisure
  4. Lifestyle
  5. Society 

Computing C.scores give precisely the classifications to shoot for.

Step 3. Build and manage Corpuses.

The hardest part is done. Let’s play with TrustedOut now:
Want all media in Politics and Law? here it is:
Want to target the dedicated media in the 1st classification, International, in Politics? Voila:

From here, feed your analytics tool and/or create a whitelist for your DSP.

Questions? Contact us!

Media Coverage Market Shares US vs France – Source TrustedOut – 10/01/19

What Media are covering the most.

In the US.

As of today and over the past 90 days, here are the top “covered” group classifications. This means the percentage of media in America covering the following group classification (like a countrywide newsstand shelf)

In bold are the differences above 5%. This means group classification that are more covered in the US vs France.

Top 3 Most topics covered are very different from France

US Media cover much more Entertainment & Leisure, Society and Education and, to a less degree, Sports, Lifestyle and Medecine & Health.

In France.

In bold are the differences above 5%. This means group classification that are more covered in France vs the US.

Greater coverage in Economy & Enterprise and Tech.

French Media cover much more in Economy & Enterprise and Tech which, both, are not even in the Top 10 US.

Largest Media Coverage differences.

As for above, we deliberately put a cliff at 5%.

Comparing Apple to Apple.

Tables above prove coverage between countries are very different, meaning feeding your intelligence tool and creating your whitelists based on random numbers of sources or media or articles will drive to unreliable, dangerous outcomes.

As demonstrated in this business case: Business Case #3. Country comparisons

Questions? Contact us!

 

 

Brand Safety: We could not agree more with Facebook.

From this article, “Facebook urges brands to define their safety tolerances“:

Facebook: Safe < Tolerable < Suitable.

Jon Steinback, Facebook’s director of product marketing for EMEA and global channels, spoke exclusively to WARC to provide more detail about the company’s attempts to create a safer environment for brands.

… Facebook has also introduced a three-tier model for identifying content that is safe, suitable and that brands would be prepared to tolerate. (For more, read the full article: Facebook on why advertisers must understand their own brand safety ‘tolerances’.)

TrustedOut: Safe < Suitable < Consistent

We totally agree with Facebook, and even farther, we believe the true goal for a brand is to be consistent, in July, we wrote:

Brand Consistency > Brand Safety + Brand Suitability

Facebook: “Safe” is the minimum

At the most basic level, Facebook promises to keep all brands “safe” from the most offensive material with its content “floor”, policed by its enforcement teams and technology.

We agree again. This is the basis level. Mostly made of keywords.

TrustedOut: Is “basic” enough for your brand?

Of course not.

Brand Safety, the most misleading proxy for quality that an advertiser can use.

Facebook: define their own “tolerances”, and create a media strategy

“… the social network is urging brands to define their own “tolerances”, and create a media strategy that is harmonious with campaign goals and business aims.”

Agreed. Of course. Keywords are not enough.

Mandatory need for brand values tolerances. And brand values are perceived. This can not be dealt with this keywords. Entering perceptions.

And perceptions made by humans are biased, not up to date and not universal on all matters. Must be done by a machine. A machine taught with myriads of  content… Here we are.

TrustedOut: Tolerance controlled via Whitelisting definition.

Here starts TrustedOut’s Corpus Intelligence.
Here starts the need to define the “tolerance” limits on what your brand can support.
Here starts the whitelisting definition, as large as tolerable by your brand for a campaign.

Facebook: Suitable. safety is not being in a situation that can be embarrassing.

“Then it also encourages advertisers to consider the kinds of content which one might not categorize as offensive, but which are likely to jar when appearing alongside a particular type of brand.

“For some people, safety is not being in a situation that can be embarrassing for them,” he said. “The important thing for us is that we provide the right level of controls and also that transparency is inherent in this.””

Bingo, This is where TrustedOut excels.

Let us manage, globally, per campaign, all your whitelists. Always updated. Always right.

TrustedOut: Here starts Brand Consistency.

Here starts the brand consistency. Make sure your brand is consistent everywhere, all the time.
Here starts the fine tuning of the alignment of your brand for a campaign, a product, a target and media publishers.
Here starts the benefit of the publisher’s brand value for your brand. The publisher is no longer a space to advertise but an echo chamber for your brand.
Here advertising is not only pushing for a message, it strengthens what has the most critical value for your business: your brand.

Time for a Whitelisting demo?

Questions? Shoot!