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Neural Media Bias Detection Using Distant Supervision With BABE -- Bias
  Annotations By Experts

Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
29 September 2022
Timo Spinde
Manuel Plank
Jan-David Krieger
Terry Ruas
Bela Gipp
Akiko Aizawa
ArXiv (abs)PDFHTML

Papers citing "Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts"

22 / 22 papers shown
Title
Generate, Evaluate, Iterate: Synthetic Data for Human-in-the-Loop Refinement of LLM Judges
Generate, Evaluate, Iterate: Synthetic Data for Human-in-the-Loop Refinement of LLM Judges
Hyo Jin Do
Zahra Ashktorab
Jasmina Gajcin
Erik Miehling
Martin Santillan Cooper
Qian Pan
Elizabeth M. Daly
Werner Geyer
SyDaELM
128
0
0
06 Nov 2025
Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
Luyang Lin
Zijin Feng
Lingzhi Wang
Kam-Fai Wong
66
1
0
20 Aug 2025
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias MitigationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yuanyuan Lei
Ruihong Huang
142
0
0
15 Jun 2025
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-EncoderAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yiqun Sun
Qiang Huang
Anthony K. H. Tung
Jun Yu
134
0
0
30 May 2025
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias DetectionNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
429
11
0
17 Nov 2024
BiasScanner: Automatic Detection and Classification of News Bias to
  Strengthen Democracy
BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy
Tim Menzner
Jochen L. Leidner
148
3
0
15 Jul 2024
DocNet: Semantic Structure in Inductive Bias Detection Models
DocNet: Semantic Structure in Inductive Bias Detection Models
Jessica Zhu
Iain Cruickshank
Michel Cukier
206
0
0
16 Jun 2024
Pitfalls of Conversational LLMs on News Debiasing
Pitfalls of Conversational LLMs on News Debiasing
Ipek Baris Schlicht
Defne Altiok
Maryanne Taouk
Lucie Flek
209
4
0
09 Apr 2024
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
Tomávs Horych
Martin Wessel
Jan Philip Wahle
Terry Ruas
Jerome Wassmuth
André Greiner-Petter
Akiko Aizawa
Bela Gipp
Timo Spinde
257
2
0
27 Feb 2024
IndiVec: An Exploration of Leveraging Large Language Models for Media
  Bias Detection with Fine-Grained Bias Indicators
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
Luyang Lin
Lingzhi Wang
Xiaoyan Zhao
Jing Li
Kam-Fai Wong
170
21
0
01 Feb 2024
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in
  News Reporting
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News ReportingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kaijian Zou
Xinliang Frederick Zhang
Winston Wu
Nick Beauchamp
Lu Wang
139
3
0
28 Oct 2023
ICLEF: In-Context Learning with Expert Feedback for Explainable Style
  Transfer
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Arkadiy Saakyan
Smaranda Muresan
208
4
0
15 Sep 2023
NBIAS: A Natural Language Processing Framework for Bias Identification
  in Text
NBIAS: A Natural Language Processing Framework for Bias Identification in TextExpert systems with applications (ESWA), 2023
Shaina Razaa
Muskan Garg
Deepak John Reji
Syed Raza Bashir
Chen Ding
246
60
0
03 Aug 2023
Introducing MBIB -- the first Media Bias Identification Benchmark Task
  and Dataset Collection
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset CollectionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Martin Wessel
Tomávs Horych
Terry Ruas
Akiko Aizawa
Bela Gipp
Timo Spinde
161
28
0
25 Apr 2023
Disentangling Structure and Style: Political Bias Detection in News by
  Inducing Document Hierarchy
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document HierarchyConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jiwoo Hong
Yejin Cho
Jaemin Jung
Jiyoung Han
James Thorne
148
9
0
05 Apr 2023
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the
  News
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
Xingmeng Zhao
Dan Schumacher
Sashank Nalluri
Xavier Walton
Suhana Shrestha
Anthony Rios
120
3
0
15 Jan 2023
Exploiting Transformer-based Multitask Learning for the Detection of
  Media Bias in News Articles
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News ArticlesiConference (iConference), 2022
Timo Spinde
Jan-David Krieger
Terry Ruas
Jelena Mitrović
Franz Götz-Hahn
Akiko Aizawa
Bela Gipp
157
28
0
07 Nov 2022
Analyzing Multi-Task Learning for Abstractive Text Summarization
Analyzing Multi-Task Learning for Abstractive Text SummarizationIEEE Games Entertainment Media Conference (GEM), 2022
Frederic Kirstein
Jan Philip Wahle
Terry Ruas
Bela Gipp
194
6
0
26 Oct 2022
CS-Insights: A System for Analyzing Computer Science Research
CS-Insights: A System for Analyzing Computer Science Research
Terry Ruas
Jan Philip Wahle
Lennart Kull
Saif M. Mohammad
Bela Gipp
333
2
0
13 Oct 2022
A Domain-adaptive Pre-training Approach for Language Bias Detection in
  News
A Domain-adaptive Pre-training Approach for Language Bias Detection in NewsACM/IEEE Joint Conference on Digital Libraries (JCDL), 2022
Jan-David Krieger
Timo Spinde
Terry Ruas
Juhi Kulshrestha
Bela Gipp
AI4CE
162
22
0
22 May 2022
An Interdisciplinary Approach for the Automated Detection and
  Visualization of Media Bias in News Articles
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
Timo Spinde
109
16
0
26 Dec 2021
Identifying Machine-Paraphrased Plagiarism
Identifying Machine-Paraphrased PlagiarismiConference (iConference), 2021
Jan Philip Wahle
Terry Ruas
Tomávs Foltýnek
Norman Meuschke
Bela Gipp
437
37
0
22 Mar 2021
1