Must read posts.

1. Our vision:

Trusted Content as a Utility

  • Distrust in Media is a major, major issue.
  • No trust in content, No trust in decisions made from it.
  • Trusted Content should be like water or electricity: A Utility.
  • Define the content you trust for every segment of your business.

Trusted Content as a Utility

2. Our unique technology.

2.1 AI-powered classifications vs Keywords.
Editorial Orientations detection.

Going beyond a 1-Dimensional access to knowledge

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

Read the full post to see example of a single event treated in 3 different ways in 2 different countries

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

2.2 AI-powered classifications vs Keywords.
Evolution over time.

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

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

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:

Why it matters.

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

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

Questions? Ask!

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!