COVID-19 Has Shifted Social Media Content Moderation From Humans To AI

The video discusses the challenges of content moderation on social media platforms, especially during the COVID-19 pandemic. It highlights the shift from human to AI moderation due to outsourcing and the pandemic's impact. AI's limitations in nuanced decision-making are noted, with examples of false positives. The video also covers the increased traffic on platforms and the future of content moderation, emphasizing the need for better compensation and status for human moderators.

What new challenge did COVID-19 introduce to content moderation?

• Increased human involvement

• More reliance on AI systems

• Decrease in content volume

• Shift from AI to human moderation

Why did major platforms like Facebook and Twitter shift more content moderation to automated systems during the pandemic?

• To improve accuracy

• To reduce costs

• Because outsourced moderators were sent home

• Due to increased user traffic

What was a significant issue with AI content moderation during the pandemic?

• AI systems were too lenient

• AI systems were too slow

• AI systems flagged too many false positives

• AI systems required more human oversight

What example was given to illustrate AI's lack of nuance in content moderation?

• Flagging educational content

• Removing posts about mask donations

• Deleting all COVID-19 related posts

• Blocking political content

What does Barrett suggest for the future of content moderation?

• Increasing AI involvement

• Enhancing the status and compensation of human moderators

• Outsourcing all moderation tasks

• Reducing the number of human moderators