LinkedIn's AI Detection Tool Draws Over 1 Million User Reports

LinkedIn has rolled out a tool that lets users report posts they suspect of being machine-generated, and the uptake has been surprisingly robust. Since launching the feature in late July, the company says it has received more than a million flagged reports from its users, who access the option through a context menu on each post.

The problem behind the tool#

The move addresses a significant issue plaguing the platform. Research from AI detection firm Pangram found that as much as 41 percent of LinkedIn's longer-form posts bore signs of being entirely generated by artificial intelligence. This flood of automated content—sometimes called "AI slop"—prompted the company to act.

LinkedIn's response has included multiple measures: rolling out improved artificial intelligence classifiers to catch machine-generated posts, introducing user-facing reporting capabilities, and removing a feature that previously offered to "enhance" posts with AI assistance.

Early signs of impact#

The efforts appear to be working. According to chief product officer Hari Srinivasan, posts flagged as AI-generated are now receiving about 40 percent fewer views compared to a few weeks earlier, suggesting the platform's multi-pronged approach is suppressing low-quality automated content.

The company is also implementing additional feedback mechanisms. Users who publish posts will now receive a notification if community members have reported their content as likely AI-generated, a move designed with what leadership framed as "good intent"—providing constructive guidance rather than punitive action.

Broader crackdown efforts#

This latest push represents part of a larger campaign. Earlier in the year, LinkedIn announced it would tighten enforcement against mass-produced comments that show "little or no human involvement," expanding its focus beyond just standalone posts to the engagement layer.