Facebook partially documents its content recommendation system

Algorithmic recommendation systems on social media sites like YouTube, Facebook and Twitter, have shouldered much of the blame for the spread of misinformation, propaganda, hate speech, conspiracy theories and other harmful content.

Facebook, in particular, has come under fire in recent days for allowing QAnon conspiracy groups to thrive on its platform and for helping militia groups to scale membership.Today, Facebook is attempting to combat claims that its recommendation systems are at any way at fault for how people are exposed to troubling, objectionable, dangerous, misleading, and untruthful content.

In new documentation available in Facebooks Help Center and Instagrams Help Center, the company details how Facebook and Instagrams algorithms work to filter out content, accounts, Pages, Groups and Events from its recommendations.

The Recommendation Guidelines typically fall under Facebooks efforts in the reduce area, and are designed to maintain a higher standard than Facebooks Community Standards, because they push users to follow new accounts, groups, Pages and the like.

However, the documentation offers no deep insight into how Facebook actually chooses how it chooses what to recommend to a given user.

One obvious category of content that many not be eligible for recommendation includes those that would impede Facebooks ability to foster a safe community, such as content focused on self-harm, suicide, eating disorders, violence, sexually explicit, regulated content like tobacco or drugs, content shared by non-recommendable accounts or entities.

Facebook also claims to not recommend sensitive or low-quality content, content users frequently say they dislike, and content associated with low-quality publishings.

In addition, Facebook claims it wont recommend fake or misleading content, like those making claims found false by independent fact checkers, vaccine-related misinformation, and content promoting the use of fraudulent documents.

Facebooks search engine favors engagement and activity like how many members a group has or how often users post not how close its content aligns with accepted truths or medical guidelines.

Original article
Author: Sarah Perez

TechCrunch is a leading technology media property, dedicated to obsessively profiling startups, reviewing new Internet products, and breaking tech news.

Sarah Perez has recently written 10 articles on similar topics including :
  1. "Facebook announced this morning it will begin testing a new experience for discovering businesses in its News Feed in the U.S. When live, users to tap on topics theyre interested in underneath posts and ads in their News Feed in order to explore related content from businesses". (April 15, 2021)
  2. "Despite being under antitrust investigations in U.S. and E.U., Facebook today is rolling out a new feature that highlights the extent to which its suite of apps now interoperate". (September 29, 2020)
  3. "Shopify announced this morning its partnered with Facebook to expand its payment option, Shop Pay, to all Shopify merchants selling across both Facebook and Instagram". (February 9, 2021)
  4. "After years of optimizing its products for engagement, no matter the costs, Facebook announced today it will test changes to its News Feed focused on reducing the distribution of political content". (February 10, 2021)
  5. "Facebook today is introducing a new tool that will allow rights holders to protect and manage their photos across both Facebook and Instagram". (September 21, 2020)
  6. "Following years of backlash over its algorithms and their ability to push people to more extreme content, which Facebook continues to deny, the company today announced it would give its users new tools to more easily switch over to non-algorithmic views of their News Feed". (March 31, 2021)
  7. "If youre old enough to remember the outrage that followed Twitters decision to replace stars with hearts (aka likes instead of favorites), then you know that Twitters user base has strong feelings about how it wants to engage with tweets". (March 24, 2021)
  8. "Facebooks internal R&D group, NPE Team, has today officially launched its latest app, E.gg, to a broader audience". (November 18, 2020)
  9. "Facebooks internal R&D group, NPE Team, has today launched its latest experiment, Hotline, into public beta testing". (April 7, 2021)
  10. "Facebooks internal R&D group, NPE Team, is today launching its next experimental app, called BARS". (February 26, 2021)
Posted on  , ,