Library

Memes come off as a joke, but some people are starting to see them as the serious threat they are.

Weaponizing the Digital Influence Machine: The Political Perils of Online Ad Tech identifies the technologies, conditions, and tactics that enable today’s digital advertising infrastructure to be weaponized by political and anti-democratic actors.

Semantic Publishing at Unidad Editorial: a Client Case Study in the Media Industry

Event Registry’s media monitoring and analysis service uses advanced natural language processing technology to analyze every news article…

Journalism has enjoyed a rich and relatively stable history of professionalization. Scholars coming from a variety of disciplines have theorized this history, f...

Executive Summary This will be the year when the regulation of platform companies starts to bite following growing concern about misinformation, privacy, and market...

Juan Benet joined the show to talk about IPFS (InterPlanetary File System), a peer-to-peer hypermedia protocol to make the web faster, safer, and more open — addressed by content and identities. We talked about what it is, how it works, how it can be used, and how it just might save the future of the web.

The authors' bandit algorithms are tailored precisely to recommendation scenarios where user interests evolve under social influence and it is shown that their adaptations of the classic LinREL and Thompson Sampling algorithms maintain the same asymptotic regret bounds as in the non-social case. Recommender systems should adapt to user interests as the latter evolve. A prevalent cause for the evolution of user interests is the influence of their social circle. In general, when the interests are not known, online algorithms that explore the recommendation space while also exploiting observed preferences are preferable. We present online recommendation algorithms rooted in the linear multi-armed bandit literature. Our bandit algorithms are tailored precisely to recommendation scenarios where user interests evolve under social influence. In particular, we show that our adaptations of the classic LinREL and Thompson Sampling algorithms maintain the same asymptotic regret bounds as in the non-social case. We validate our approach experimentally using both synthetic and real datasets.

Nowadays, all major web browsers have a private browsing mode. However, the mode's benefits and limitations are not particularly understood. Through the use of survey studies, prior work has found...

How Friendster missed a billion-dollar break.

We're providing metrics on how we enforced our content policies from July 2020 through September 2020.

Facebook workers routinely suppressed news stories of interest to conservative readers from the social network’s influential “trending” news section, according to a former journalist who worked on the project. This individual says that workers prevented stories about the right-wing CPAC gathering, Mitt Romney, Rand…

Newly public documents provide a rare window into CEO Mark Zuckerberg's thoughts on how to expand his social media juggernaut.

A lot has changed since Mark Zuckerberg launched TheFacebook in 2004. Here are some of the milestones that mattered most.

The company is paying publishers directly for their work, but will an audience show up for it?

Facebook News gives people more control over the stories they see and the ability to explore a wider range of news within the Facebook app.

.

Users are rejoicing because they can once again see the most recent tweets first.

Chief executives of Facebook and Twitter quizzed by judiciary committee on allegations of anti-conservative bias and handling of election

The two tech CEOs found areas of agreement on topics where they had previously been at odds such as content moderation and President Trump.

Kyle Drake, founder of Neocities, gives a New Relic FutureTalk in Portland discussing the distributed web. Join our New Relic FutureTalks PDX Meetup group here to take part in the next monthly event: http://www.meetup.com/New-Relic-FutureTalks-PDX/ Be sure to subscribe and follow New Relic at: https://twitter.com/NewRelic https://www.facebook.com/NewRelic https://www.youtube.com/NewRelicInc

The Telecommunications Act of 1996 is the first major overhaul of telecommunications law in almost 62 years. The goal of this new law is to let anyone enter any communications business -- to let any communications business compete in any market against any other. The Telecommunications Act of 1996 has the potential to change the way we work, live and learn. It will affect telephone service -- local and long distance, cable programming and other video services, broadcast services and services provided to schools. The Federal Communications Commission has a tremendous role to play in creating fair rules for this new era of competition. At this Internet site, we will provide information about the FCC's role in implementing this new law, how you can get involved and how these changes might impact you. This page will include information listing the proceedings the FCC will complete to open up local phone markets, increase competition in long distance and other steps. You will find copies of news releases summarizing action, announcements of meetings where these items will be discussed, and charts describing the work ahead of us and where (within the FCC) and when it will be completed. Please note: some of the links on this page lead to resources outside the FCC. The presence of these links should not be taken as an endorsement by the FCC of these sites or their content. For more information about the referenced documents, contact the person listed on the document. Please let us know what topics most interest you or where you have questions about this new law. We will soon begin to post a series of Questions & Answers with Commission officials designed to answer your questions.

In December 2016, shortly after the US presidential election, Facebook and five US news and fact-checking organizations—ABC News, Associated Press, FactCheck.org, PolitiFact, and Snopes—entered a partnership to combat misinformation. Motivated by a variety of concerns and values, relying on different understandings of misinformation, and with a diverse set of stakeholders in mind, they created a collaboration designed to leverage the partners’ different forms of cultural power, technological skill, and notions of public service. Concretely, the partnership centers around managing a flow of stories that may be considered false. Here’s how it works: through a proprietary process that mixes algorithmic and human intervention, Facebook identifies candidate stories; these stories are then served to the five news and fact-checking partners through a partners-only dashboard that ranks stories according to popularity. Partners independently choose stories from the dashboard, do their usual fact-checking work, and append their fact-checks to the stories’ entries in the dashboards. Facebook uses these fact-checks to adjust whether and how it shows potentially false stories to its users. Variously seen as a public relations stunt, a new type of collaboration, or an unavoidable coupling of organizations through circumstances beyond either’s exclusive control, the partnership emerged as a key example of platform-publisher collaboration. This report contextualizes the partnership, traces its dynamics through a series of interviews, and uses it to motivate a general set of questions that future platform press partnerships might ask themselves before collaborating.