Whistleblowers: Meta and TikTok Allowed Harmful Content After Research Showed Outrage Drives Engagement
By
1vuio0pswjnm7
Hand-rolled, kettle-boiled, baked to perfection. Worth every minute at the bakery.
Summary
Whistleblowers reveal that social media companies Meta and TikTok knowingly allowed more harmful content on their platforms after internal research showed that outrage-driven content increased user engagement. More than a dozen insiders described how the companies prioritized growth over safety, permitting content related to violence, sexual blackmail, and terrorism to circulate despite knowing the risks. The revelations expose an 'algorithm arms race' where platforms optimized for engagement at the expense of user safety.
Key quotes
· 4 pulledSocial media giants made decisions which allowed more harmful content on people's feeds, after internal research into their algorithms showed how outrage fuelled engagement
More than a dozen whistleblowers and insiders have laid bare how the companies took risks with safety on issues including violence, sexual blackmail and terrorism as they battled for users'
Whistleblowers have given an inside view of the algorithm arms race which followed TikTok's explosive growth
Companies allowed more harmful content on user's feeds, knowing their algorithms ran on outrage, BBC hears
You might also wanna read
Social media safety: Examining content moderation, regulation, and litigation after the Frances Haugen revelations
The article discusses the need for safer social media platforms, highlighting the 2021 Frances Haugen leak which revealed that Meta (then Fa

Meta Oversight Board Criticizes Company's Inadequate Deepfake Detection Methods for Conflict Misinformation
Meta's Oversight Board criticizes the company's deepfake detection methods as inadequate for handling misinformation during armed conflicts
How the clipping economy and algorithms reshaped social media feeds
The article explores how social media feeds have shifted from being driven by user follows and likes to being controlled by opaque algorithm
AI safety guardrails removed from Meta and Google models in minutes, research finds
The article reports on research showing that safety guardrails designed to prevent AI models from generating harmful content can be easily s
