Twitter Amplifying Right-Leaning Tweets: A Case for Safe and Secure AI
February 10, 2016
A recent study by Twitter's internal researchers found that their 'Home' timeline algorithm disproportionately amplified tweets from right-wing politicians and organizations in six out of seven studied countries. This incident highlights the need for trustworthy AI, especially in areas like AI governance and harm prevention, such as those addressed by Project Cerebellum's Govern function within its Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- twitter-left-leaning-politicians, twitter-left-leaning-news-organizations, twitter-left-leaning-users, twitter-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/296
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.