Platform Policy Impact
Platform Changes Timeline
Major reduction in content moderation team
Changes to verification system enabling impersonation
Removal of election integrity safeguards
Algorithm changes affecting content amplification
Research Findings
"Studies show that while warning labels on misinformation reduced some user interactions, overall engagement with labeled content remained largely unaffected." - Papakyriakopoulos & Goodmann, 2022
Content Moderation
Research shows reduced human moderation led to increased spread of misinformation, particularly affecting election-related content.
Algorithm Bias
Platform changes resulted in algorithmic amplification of certain political content, creating echo chambers and reinforcing biases.
User Behavior
Changes in platform policies affected how users engaged with political content, leading to increased polarization.
Misinformation Spread
Documented Examples
- False claims about Harris's background
- Manipulated video content
- Fabricated headlines from reputable sources
- False claims about campaign financing