Content Moderation User Engagement Data Privacy User Behavior User Interaction Misinformation Data Processing Data Security Transparency User Safety User Experience Content Creation Impact on Society User Data Content Promotion Bias in Technology Content Curation Content Regulation Content Recommendation Recommendation Systems Mental Health Manipulation Content Personalization Disinformation Algorithmic Bias Digital Behavioral Addictions Chinese Ownership Normalization Content Amplification Content Distribution Content Responsibility Bias Political Discourse Regulation Information Security Data Management Misinformation Spread Content Management Machine Learning Influence Blocking Artificial Intelligence Instagram Content Delivery Information Control Impact on Journalism Persuasive Technology Data Ownership Content Engagement Content Consumption Polarization Discrimination Content Sharing Addictive Technology Recommendation Algorithms User Control Open Source Recommender Systems Impact on Information Political Propaganda Community Notes Youth Privacy Concerns Community Engagement Harmful and Addictive Features Ownership
The proposal remains in committee despite heavy industry resistance over liability and speech risks.
