Key differences in spam detection
| Feature [1, 3, 6, 7, 8, 9, 10, 11, 12, 13, 14] | Live video | Static pictures |
| Moderation timing | Moderation for live content occurs in real-time and post-broadcast. In many groups, live streams are automatically held for a manual review before being posted to prevent unknown spam. | Detection for pictures is largely automated and proactive, with AI screening the content at the time of posting. |
| Detection focus | Algorithms analyze behavioral patterns and keywords in the live chat and comments. For instance, suspicious, high-volume comments or users getting blocked during a broadcast can trigger red flags. | AI models analyze the image content itself. This includes using image recognition to detect misleading or AI-generated images that may be used by spammers. |
| Scam prevention | Live video poses unique scam risks, such as people impersonating legitimate creators and running scams in the live chat . Meta has tools to detect and auto-hide comments from suspicious profiles . | Spammers may use AI-generated images with confusing captions to increase engagement. Algorithms specifically target and demote posts with images disguised as videos, which is a form of clickbait. |
| Post-content review | Human reviewers assess flagged live video content after the broadcast is over. If a live video was reported, it is subject to review before it is deleted. | When automated AI systems flag a picture for being spam, it may be sent to human review teams for a final decision. |
Similarities in spam enforcement
- Behavioral signals: For both formats, Facebook's algorithms look for high-volume, automated, and repetitive activity.
- User reporting: People can report any content, whether it is a live video or a photo, for spam or harassment. User reports are crucial for training the AI and flagging content for human review.
- AI-driven moderation: Artificial intelligence is central to the moderation process for all content types. AI helps detect violations proactively and routes complex cases to human reviewers. [2, 12, 15, 16, 17]
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