Facebook Says It's Flagged Millions Of COVID-19 Misinformation Posts

Facebook has implemented measures to combat COVID-19 misinformation by labeling posts reviewed by fact-checkers and AI. This has reduced misleading post views. The company also removed millions of exploitative product sales related to COVID-19. Facebook claims its labels are effective, with 95% of users choosing not to view flagged content.

What method does Facebook use to reduce the spread of misleading coronavirus posts?

• Allowing users to report misleading posts

• Using labels reviewed by fact-checkers and AI

• Blocking all posts related to coronavirus

• Hiring more employees to manually check posts

In the example of two Facebook posts about COVID-19, what was the key difference between them?

• The images used in the posts

• The language in which the posts were written

• The number of likes each post received

• The accuracy of the text content

What action has Facebook taken against the sale of COVID-19 related products?

• Allowing only verified sellers to post

• Removing over 2.5 million pieces of content

• Banning all advertisements on the platform

• Increasing the price of advertisements

What percentage of users choose not to view a post when warned it contains misinformation?

• 100%

• 75%

• 95%

• 50%

What challenge does Facebook face in monitoring its platform for misinformation?

• Inability to translate posts into different languages

• The vast number of users each month

• A small user base

• Lack of technology to detect misinformation