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AII-1002-43931
Well documentedThree or more independent publishers report the core facts.

X algorithm treats shared outrage as user preference, Musk says

Elon Musk acknowledged that X's recommendation algorithm cannot distinguish between users sharing posts because they like them versus sharing them out of outrage, leading it to recommend more toxic content to users who discuss such posts with others.

1 September 2024 Β· X Β· Harmful and abusive content
1 September 2024
AII-1002-439313 sources ↓
Quick facts
Organizations
X (subject), Elon Musk
Category
Harmful and abusive content
Country
United States
Source
Yahoo
Date
1 September 2024
Drafted by
Raidu Incident Detection

What happened

Elon Musk said on September 1, 2024 that X's algorithm misinterprets user intent when people share posts with others. 'One of the strongest signals is if you forward X posts to friends, it assumes you like that content a lot, because it takes effort to forward,' Musk wrote. 'Unfortunately, if the actual reason you forwarded the content to friends was because you were outraged by it, we are currently not smart enough to realize that.'

Musk explained that users experiencing increasingly toxic feeds may have been sharing examples of toxic posts with friends, which causes the algorithm to assume they prefer that content. He suggested users share posts of puppies instead to counteract toxic feeds.

Reported impact

Some X users reported their feeds had become more toxic. Musk said he had spoken with friends whose feeds had become toxic after they had been sharing examples of toxic posts with each other.

Index analysis

The X recommendation algorithm ranks about 1,500 posts from hundreds of millions of candidate sources based on past interactions including likes, retweets, and replies. The system applies heuristics and filters to personalize recommendations, but cannot distinguish between sharing content because of interest versus sharing it due to outrage.

Classification

Organizations
X (subject), Elon Musk
Category
Harmful and abusive content
Industry
Media, social platforms and marketing
Country
United States
Harm status
Actual harm
Intent
Unintentional
Timing
Post-deployment
Harm types
Psychological, Public interest
Harmed
Consumers
Failure modes
Biased model
AI systems
X recommendation algorithm

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

Yahoo
Elon Musk thinks he knows why your X feed might be getting more toxic
2 September 2024
TheNewsGuru
X: Why users see toxic content on social media - Elon Musk | TheNewsGuru
2 September 2024
South China Morning Post
Sharing 'posts of cute puppies' could make your X feed less toxic: Musk
2 September 2024