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20232025
most citedIndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators

1 citations · 1 across the 4 of their papers we have counts for

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cs.CY2024

Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception

Luyang Lin, Lingzhi Wang, Jinsong Guo +1

The pervasive spread of misinformation and disinformation in social media underscores the critical importance of detecting media bias. While robust Large Language Models (LLMs) hav…

cs.CY2024

IndiTag: An Online Media Bias Analysis System Using Fine-Grained Bias Indicators

Luyang Lin, Lingzhi Wang, Jinsong Guo +2

In the age of information overload and polarized discourse, understanding media bias has become imperative for informed decision-making and fostering a balanced public discourse. H…

cs.CY2023

Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detection

Luyang Lin, Jing Li, Kam-Fai Wong

With the increasing pursuit of objective reports, automatically understanding media bias has drawn more attention in recent research. However, most of the previous work examines me…