Misuse of Word-Flagging Algorithms on Social Media Platforms: A Threat to Natural Language Use
March 15, 2017
The implementation of word-flagging algorithms on platforms like TikTok, YouTube, Instagram, and Twitch inappropriately changes content creators' language use or discussion about certain topics due to fear of their content getting flagged or auto-demonetized erroneously. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help prevent such incidents and promote trustworthy AI? JOIN US
- 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.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.