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IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
1 February 2024
Luyang Lin
Lingzhi Wang
Xiaoyan Zhao
Jing Li
Kam-Fai Wong
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Papers citing
"IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators"
7 / 7 papers shown
Title
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
157
7
0
17 Nov 2024
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection
Martin Wessel
Tomávs Horych
Terry Ruas
Akiko Aizawa
Bela Gipp
Timo Spinde
63
24
0
25 Apr 2023
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Soumya Barikeri
Anne Lauscher
Ivan Vulić
Goran Glavaš
91
181
0
07 Jun 2021
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
Lingzhi Wang
Xingshan Zeng
Kam-Fai Wong
112
8
0
29 May 2021
Context in Informational Bias Detection
Esther van den Berg
K. Markert
25
19
0
03 Dec 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
R. Baly
Giovanni Da San Martino
James R. Glass
Preslav Nakov
69
153
0
11 Oct 2020
In Plain Sight: Media Bias Through the Lens of Factual Reporting
Lisa Fan
M. White
Eva Sharma
Ruisi Su
Prafulla Kumar Choubey
Ruihong Huang
Lu Wang
49
109
0
05 Sep 2019
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