Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users
Social media serves as a primary source of information in the current digital era. Many people consume a vast range of information in a very short span, yet, amidst the stream of genuine information, fake news and rumors continue to spread. The need for effective detection models is becoming increasingly critical. Past user behavior and user engagement on a post are strong signals that SOTA approaches leverage for fake news detection and other post classification tasks. However, these approaches lean too heavily on knowing this past behavior, and thus suffer from a cold user problem, or users that are new or have minimal footprint on the platform. In this paper, we make three core contrib...
| Authors | Sai Keerthana Karnam, Abhirup Kundu, Jashn Arora et al. |
|---|---|
| Primary category | cs.SI |
| Published | 30 March 2026 |
| Last updated at source | 30 March 2026 |
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