Search Results for author: Verica Rupar

Found 2 papers, 0 papers with code

Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems

no code implementations7 Apr 2024 Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Verica Rupar

While preference-based recommendation algorithms effectively enhance user engagement by recommending personalized content, they often result in the creation of ``filter bubbles''.

Recommendation Systems

Detecting misinformation through Framing Theory: the Frame Element-based Model

no code implementations19 Feb 2024 Guan Wang, Rebecca Frederick, Jinglong Duan, William Wong, Verica Rupar, Weihua Li, Quan Bai

In this paper, we delve into the rapidly evolving challenge of misinformation detection, with a specific focus on the nuanced manipulation of narrative frames - an under-explored area within the AI community.

Misinformation

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