Social Media's Automated Word-Flagging without Context Shifted Content Creators' Language Use

March 15, 2017

Social media platforms, such as TikTok, YouTube, Instagram, and Twitch, employ algorithms to flag certain words without considering context. This practice has led content creators to alter their everyday language or discussions on sensitive topics out of fear that their content may be mistakenly flagged or auto-demonetized.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.1 — similarity 0.657, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.648, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.645, rank 3. TAIM detail and related incidents →

Alleged deployer: youtube, twitch, tiktok, instagram
Alleged developer: youtube, twitch, tiktok, instagram
Alleged harmed parties: youtube-content-creators, twitch-content-creators, tiktok-content-creators, instagram-content-creators

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/394

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

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