Clickbait-Reducing Algorithms

'Facebook' is Using New Tech on the News Feed to Eliminate Clickbait

Clickbait, a strategy familiar to most Internet users in which websites intentionally exaggerate and withhold content in their headlines, is an almost universally recognized nuisance, which is why Facebook is making an effort to eliminate clickbait with its new algorithm. With the new implementations on Facebook's News Feed, headlines like "This Woman's Shoes Were in a Crockpot for Seven Hours and The Results are Insane" will be far less likely to show up for users.

To build the algorithm and eliminate clickbait from Facebook, a brave team of employees had to manually classify tens of thousands of headlines with a "clickbaitiness score." Once classified, the algorithm was able to identify words and phrases common to clickbait headlines that usually don't appear in normal articles. The system is like an email spam filter, but for Facebook's News Feed.

Clickbait-reducing Algorithms
Reducing clickbait through the use of algorithms and advanced technology.
AI-enhanced Content Moderation
The rise of AI-enhanced content moderation will allow social media platforms to rid themselves of clickbait and spam more efficiently.
Data-driven Journalism
Data-driven journalism can help promote fact-based reporting and shift from clickbait headlines to more informative and educational content.

Where This Applies

Social Media
Social media companies can benefit from clickbait-reducing algorithms to maintain user engagement and promote responsible journalism.
Online Media
Online media outlets can leverage clickbait-reducing algorithms to compete with other platforms and present credible and informative news to their audience.
Digital Marketing
Digital marketing agencies can utilize clickbait-reducing algorithms to develop more responsible content for their clients and increase engagement with their target audiences.
SCORE
2.4 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, Europe, Asia
GENERATION
  • Gen Alpha
  • Gen Z (primary audience)
  • Millennial (primary audience)
  • Gen X (primary audience)
POPULARITY
Popularity 20%
Activity 45%
Freshness 8%