Dive Brief:
- Facebook says it is using improved pattern recognition technologies to block and remove fake “likes” from pages.
- The company also sends notifications to page administrators with advice on attracting genuine fans when blocking fakes—more than 200,000 since last month.
- Businesses that buy fake likes find it more difficult to achieve real results, Facebook says.
Dive Insight:
Facebook is fighting fake likes generated by click farms, fake accounts and malware more aggressively than ever. Using machine learning tools to flag suspicious likes and other fraudulent activity, Facebook has tripled the number of blocked likes in the last six months. Many sellers of fake likes have closed thanks to these efforts, Facebook says.
Last month, the company started sending notifications to page administrators alerting them of blocked likes, offering advice on attracting real fans and likes. The company has sent more than 200,000 of the alerts since introducing them last month.