Twitter Algorithm Amplifies Anger and Polarization, Study Finds

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A study by Cornell and UC Berkeley researchers found that Twitter's AI-driven recommendation algorithm, especially under Elon Musk's ownership, amplifies tweets expressing anger and political polarization. This has led to increased negative emotions among users and significantly impacted public discourse, contributing to greater social division and animosity.[AI generated]

Why's our monitor labelling this an incident or hazard?

The article explicitly discusses the role of Twitter's algorithm, an AI system that personalizes content feeds, in amplifying hateful and emotionally charged tweets. This amplification has led to increased exposure to hate speech and political animosity, which constitutes harm to communities. Since the AI system's use has directly led to this harm, the event qualifies as an AI Incident under the OECD framework.[AI generated]
AI principles
AccountabilityHuman wellbeingSafetyTransparency & explainabilityDemocracy & human autonomy

Industries
Media, social platforms, and marketing

Affected stakeholders
ConsumersGeneral public

Harm types
PsychologicalPublic interest

Business function:
Marketing and advertisement

AI system task:
Organisation/recommenders


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