“Definers’s focus on Mr. Cook extended to a campaign it ran to promote the Apple chief as a 2020 presidential candidate. A slick website titled “Draft Tim Cook 2020” had digital links to Definers employees, said Kyle Ehmke, a cybersecurity researcher for the firm ThreatConnect.”
Source : How Facebook’s P.R. Firm Brought Political Trickery to Tech – The New York Times
“The move follows Australia’s decision to ban Huawei from supplying 5G equipment over concerns it could facilitate Chinese spying, and its barring from some U.S. government contracts on national security grounds. Germany, which lacks a telecoms hardware industry of its own, is keener to maintain its traditionally close trade and investment ties with Beijing without compromising on its own cyber-security, say officials.”
Source : Exclusive: China’s Huawei opens up to German scrutiny ahead of 5G auctions | Reuters
“The social credit system, which is being built on the principle of “once untrustworthy, always restricted”, will encourage government bodies to share more information about individual and business misdeeds in order to coordinate punishments and rewards.”
Source : Beijing pioneering citizens’ ‘points’ system critics brand ‘Orwellian’ | Reuters
“Une grande partie des activités humaines se déroule aujourd’hui sur l’Internet. On y fait des affaires, de la politique, on y bavarde, on travaille, on s’y distrait, on drague… L’Internet n’est donc pas un outil qu’on utilise, c’est un espace où se déroulent nos activités.” – Stéphane Bortzmeyer @bortzmeyer
Source : C & F Éditions
“Facebook has submitted a patent application for technology that would predict who your family and other household members are, based on images and captions posted to Facebook, as well as your device information, like shared IP addresses. The application, titled “Predicting household demographics based on image data,” was originally filed May 10, 2017, and made public today. ”
Source : A Facebook Patent Would Predict Your Household’s Demographics Based On Family Photos
— Thomas Griessen (@ThomasGriessen) 12 novembre 2018
“it’s not the only user-unfriendly land grab we’ve seen Microsoft test out recently. Microsoft aborted a short-sighted attempt to scare people away from Google’s Chrome web browser in September, and it tried to shuffle Mail users to its Microsoft Edge browser any time they clicked a link, back in March.”
Source : Microsoft wants to put ads in Windows email — and it’s already testing them out (update) – The Verge
“Today, Privacy International has filed complaints against seven data brokers (Acxiom, Oracle), ad-tech companies (Criteo, Quantcast, Tapad), and credit referencing agencies (Equifax, Experian) with data protection authorities in France, Ireland, and the UK. Privacy International urges the data protection authorities to investigate these companies and to protect individuals from the mass exploitation of their data. Our complaints target companies that, despite exploiting the data of millions of people, are not household names and therefore rarely have their practices challenged. In tandem with the complaints, we have today launched a campaign to seek to empower people and make it easier to demand that these companies delete our data.”
“After the streaming-video giant released the second season of the comedy “Grace and Frankie” in 2016, its product team put up an image to promote the show to U.S. subscribers that only included Ms. Fonda’s co-star, Lily Tomlin. Tests showed that more users clicked on the show when the photo didn’t include Ms. Fonda. The decision set off a high-pitched internal debate. The Los Angeles-based content team was concerned that Netflix risked alienating Ms. Fonda, and that the move could even violate her contract, while the tech group in the Los Gatos, Calif., headquarters argued the company shouldn’t ignore the data, according to people familiar with the discussions.
In the end, Netflix chose to put images that included Ms. Fonda back in the mix.”
Source : At Netflix, Who Wins When It’s Hollywood vs. the Algorithm? – WSJ
“YouTube tends to recommend progressively longer and more popular content to users. This analysis illustrates how YouTube’s recommendation engine encourages users to engage with progressively longer content. The videos encountered in the first step of these random walks (that is, the initial starting videos chosen at random) collectively averaged 9 minutes and 31 seconds in length. But the first videos selected by the recommendation engine were nearly three minutes longer on average. Average video length then progressively increased for each subsequent recommendation. By the fifth and final step in these walks, these videos were on average nearly 15 minutes long”.
Source : Many Turn to YouTube for Children’s Content, News, How-To Lessons | Pew Research Center
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