activity
20192026
most citedBad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

207 citations · 908 across the 31 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

Exploring news intent and its application: A theory-driven approach

Zhengjia Wang, Danding Wang, Qiang Sheng +3

Understanding the intent behind information is crucial. However, news as a medium of public discourse still lacks a structured investigation of perceived news intent and its applic…

cs.CL2023

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting

Qiong Nan, Qiang Sheng, Juan Cao +4

Both accuracy and timeliness are key factors in detecting fake news on social media. However, most existing methods encounter an accuracy-timeliness dilemma: Content-only methods g…

cs.CL2023★ 207 cited

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

Beizhe Hu, Qiang Sheng, Juan Cao +4

Detecting fake news requires both a delicate sense of diverse clues and a profound understanding of the real-world background, which remains challenging for detectors based on smal…

cs.CL2023★ 3 cited

Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection

Beizhe Hu, Qiang Sheng, Juan Cao +4

Fake news detection has been a critical task for maintaining the health of the online news ecosystem. However, very few existing works consider the temporal shift issue caused by t…

cs.CV2023★ 36 cited

Combating Online Misinformation Videos: Characterization, Detection, and Future Directions

Yuyan Bu, Qiang Sheng, Juan Cao +3

With information consumption via online video streaming becoming increasingly popular, misinformation video poses a new threat to the health of the online information ecosystem. Th…