Fake News and the trust problem. Sad!
summary
Defines fake news as fundamentally false stories written to deceive, cites Macedonian farms and Pizzagate, and names economics and scale as causes: some sites earn $10,000 a month and a $10,000 ad buy can get a story 100k–500k reads. Platforms and advertisers respond with whitelist/blacklist tools, programmatic filtering, and manual review (example: 30 paid reviewers, ~50% application rejection), but satire labeling, health misinformation, and platform responsibility keep the problem unresolved.
AI-written summary · about
chapters (9)
- 0:00Introduction and opening
- 1:04Defining fake news
- 3:11Ad networks and fake news
- 8:10Satire versus deception
- 10:58Politicizing the term fake news
- 12:02Industry initiatives against fake news
- 13:44Scale and responsibility of platforms
- 15:30Health misinformation risks
- 17:15Platforms' role and responsibility
related talks
21mHow do we move on from Fake News
37mFake News and Strat. Disinformation
36mGoogle’s chief business officer: ‘We have to take the fake news problem very, very seriously’
51mMisinformation Is the New Malware
20mWe can fight fake news
04mQuick Look: Truth or Snare? Understand and Combat Cyber-Propaganda and Fake News
30mAI-Generated Synthetic Media, aka Deepfakes and its impact
52mApathy in the online world