blog.google/around-the-glo…
- verifying accuracy of breaking news in real time is hard
- real people have different perspectives on seemingly simple issues
- enforcement needs to be predictable to users & enforcers which is hard given above
1. Make quality count by ranking the most useful information highest
2. Investing in systems to counteract bad actors
3. Giving users context about content they are consuming via labels & disclosures
- $300M pledged to help newsrooms over next 3 years
- partnering with fact checkers
- research to detect deep fakes
- Protecting elections by training campaign officials & with product features
- use ranking coupled with human evaluators of their results to assess site quality
- action to remove spammy sites, both via automatic detection & user reported
- don't personalize content based on user interest
News has more stringent policy
- Only remove content if it violates community guidelines
- Change recommendations philosophy from Growth to Responsible Growth
- Dedicated tabs for breaking/top news show trusted sites & wikipedia excerpts on some videos
- Demonetize bad actors
- require user verification to run election ads
- dedicated teams working on detecting foreign political influence ops
- policies ban misrepresentation and inappropriate or unoriginal content
- "Why this ad?" label shows users why they are seeing an ad
Ads was a bit light & YouTube story was a bit rosier than reality but overall a good effort.
blog.google/documents/33/H…