BaitBuster: A Clickbait Identification Framework
Rony, Md Main Uddin (The University of Mississippi) | Hassan, Naeemul (The University of Mississippi) | Yousuf, Mohammad (The University of Oklahoma )
The use of tempting and often misleading headlines (clickbait) to allure readers has become a growing practice nowadays among the media outlets. The widespread use of clickbait risks the reader's trust in media. In this paper, we present BaitBuster, a browser extension and social bot based framework, that detects clickbaits floating on the web, provides brief explanation behind its decision, and regularly makes users aware of potential clickbaits.
Feb-8-2018
- Country:
- Oceania > Palau (0.05)
- North America > United States
- Oklahoma (0.05)
- Mississippi (0.05)
- Technology: