Detecting misinformation with llm-predicted credibility signals and weak supervision
Credibility signals represent a wide range of heuristics that are typically used by journalists
and fact-checkers to assess the veracity of online content. Automating the task of credibility …
and fact-checkers to assess the veracity of online content. Automating the task of credibility …
[HTML][HTML] AI alignment: Assessing the global impact of recommender systems
L Bojic - Futures, 2024 - Elsevier
The recent growing concerns surrounding the pervasive adoption of generative AI can be
traced back to the long-standing influence of AI algorithms that have predominantly served …
traced back to the long-standing influence of AI algorithms that have predominantly served …
BCE4ZSR: Bi-encoder empowered by teacher cross-encoder for zero-shot cold-start news recommendation
MA Rauf, MMY Khalil, W Wang, Q Wang… - Information Processing …, 2024 - Elsevier
In the realm of news recommendations, the persistent challenge of the cold-start problem
continues to impede progress. Existing approaches rely heavily on information exchange …
continues to impede progress. Existing approaches rely heavily on information exchange …
ZS-CEBE: leveraging zero-shot cross and bi-encoder architecture for cold-start news recommendation
MA Rauf, MMY Khalil, MANU Ghani, W Wang… - Signal, Image and Video …, 2024 - Springer
News recommendation systems heavily rely on the information exchange between news
articles and users to personalize the recommendation. Consequently, one of the significant …
articles and users to personalize the recommendation. Consequently, one of the significant …
Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signals
Credibility signals represent a wide range of heuristics typically used by journalists and fact-
checkers to assess the veracity of online content. Automating the extraction of credibility …
checkers to assess the veracity of online content. Automating the extraction of credibility …