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AII-1002-43967
ReportedReported by fewer than three independent publishers, with no official finding.

TikTok algorithm recommended violent content to teenage boys

A former TikTok safety analyst reported that the platform's algorithm systematically recommended more graphic violent and misogynistic content to teenage boys than to girls during his employment from December 2020 to June 2022. He said the system's content moderation relied partly on a 10,000-view threshold before human review and missed 10-15% of harmful content in machine detection.

2 September 2024 Β· TikTok Β· Harmful and abusive content
2 September 2024
AII-1002-439672 sources ↓
Quick facts
Category
Harmful and abusive content
Country
Ireland
Source
The Star
Date
2 September 2024
Drafted by
Raidu Incident Detection

What happened

Andrew Kaung, who worked as a User Safety Analyst at TikTok's Dublin office from December 2020 to June 2022, conducted an internal investigation and discovered that the platform's algorithm was showing teenage boys more graphic violent and misogynistic content compared to teenage girls.

During the same period at Meta (Instagram's parent company), between 2019 and December 2020, Kaung says the platform relied heavily on users to report harmful videos rather than proactive moderation.

Reported impact

A 16-year-old user named Cai reported being recommended videos featuring violence, someone being hit by a car, misogynistic content, and violent fights after initially seeing benign content like a cute dog video.

Kaung noted that while girls were also shown harmful content, they were more likely to be exposed to content promoting impossible beauty standards, which affected their self-image and confidence.

Index analysis

TikTok uses AI tools to remove the majority of harmful content, but Kaung stated that 10-15% of content can be missed by the machine learning detection model. At the time he worked there, videos that were not removed or flagged by AI were only manually reviewed by human moderators after reaching a threshold of 10,000 views or more.

The recommendation algorithm is fueled by user engagement; if users do not report content, the system interprets this as interest and may recommend more similar harmful content to them.

Governance controls

TikTok states it removes 99% of content violating its rules through AI or human moderators before it reaches 10,000 views, and says it undertakes proactive investigations on videos with fewer views.

TikTok and other major social media companies allow users aged 13 and above to sign up and use content moderation tools combining AI detection and human review.

Classification

Category
Harmful and abusive content
Industry
Media, social platforms and marketing
Country
Ireland
Harm status
Potential harm
Intent
Unintentional
Timing
Post-deployment
Harm types
Psychological, Public interest
Harmed
Children
Failure modes
Biased model, Content moderation failure, Unsafe recommendation
Consequences
None recorded
AI systems
TikTok recommendation algorithm

Sources and evidence

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

The Star
'It stains your brain': How social media algorithms show violence to boys
2 September 2024
Under Construction
TikTok algorithm showing teenage boys 'more graphic, violent content than girls' | Newstalk
4 September 2024
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