This is a Threads news story, published by Phys Org, that relates primarily to Mark Zuckerberg news.
For more Threads news, you can click here:
more Threads newsFor more Mark Zuckerberg news, you can click here:
more Mark Zuckerberg newsFor more social media news, you can click here:
more social media newsFor more news from Phys Org, you can click here:
more news from Phys OrgOtherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like social media news, you might also like this article about
social media users. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest social media news, Twitter news, social media news, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
social media algorithmsPhys Org
•
74% Informative
Mark Zuckerberg has announced big changes in how the company addresses misinformation across Facebook, Instagram and Threads .
Instead of relying on independent third -party factcheckers, Meta will now use "community notes" These crowdsourced contributions allow users to flag content they believe is questionable.
Some experts worry Zuckerberg 's changes will effectively allow a deluge of hate speech and lies to spread on Meta platforms.
For community notes to work, these algorithms would need to prioritize diverse, reliable sources of information. While community notes could theoretically harness the wisdom of crowds, their success depends on overcoming these psychological vulnerabilities. Perhaps increased awareness of these biases can help us design better systems—or empower users to use community notes to promote dialogue across divides. Only then can platforms move closer to solving the misinformation problem. Provided by The Conversation.
VR Score
81
Informative language
82
Neutral language
51
Article tone
informal
Language
English
Language complexity
68
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
16
Source diversity
13