Fetching the paper…
Reading the bibliography…
This study focuses on media bias detection, crucial in today's era of influential social media platforms shaping individual attitudes and opinions.
In plain sight: Media bias through the lens of factual reporting
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, and Lu Wang. 2019 · 1909
Earlier work this paper cites.
Framing: Toward clarification of a fractured paradigm
Robert M Entman. 1993 · 1993
Earlier work this paper cites.
Recounting the courts? applying automated content analysis to enhance empirical legal research
Michael Evans, Wayne McIntosh, Jimmy Lin, and Cynthia Cates. 2007 · 2007
Earlier work this paper cites.
Classifying party affiliation from political speech
Bei Yu, Stefan Kaufmann, and Daniel Diermeier. 2008 · 2008
Earlier work this paper cites.
We can detect your bias: Predicting the political ideology of news articles
Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020 · 2010
Earlier work this paper cites.
Political ideology detection using recursive neural networks
Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. 2014 · 2014
Earlier work this paper cites.
The media frames corpus: Annotations of frames across issues
Dallas Card, Amber Boydstun, Justin H Gross, Philip Resnik, and Noah A Smith. 2015 · 2015
Earlier work this paper cites.
A frame of mind: Using statistical models for detection of framing and agenda setting campaigns
Oren Tsur, Dan Calacci, and David Lazer. 2015 · 2015
Earlier work this paper cites.
Analyzing framing through the casts of characters in the news
Dallas Card, Justin H Gross, Amber Boydstun, and Noah A Smith. 2016 · 2016
Earlier work this paper cites.
“all i know about politics is what i read in twitter”: Weakly supervised models for extracting politicians’ stances from twitter
Kristen Johnson and Dan Goldwasser. 2016 · 2016
Earlier work this paper cites.
How to use t-sne effectively
Martin Wattenberg, Fernanda Viégas, and Ian Johnson. 2016 · 2016
Earlier work this paper cites.
A large labeled corpus for online harassment research
Jennifer Golbeck, Zahra Ashktorab, Rashad O Banjo, Alexandra Berlinger, Siddharth Bhagwan, Cody Buntain, Paul Cheakalos, Alicia A Geller, Rajesh Kumar Gnanasekaran, Raja Rajan Gunasekaran, et al. 2017 · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2017 · 2017
Cited alongside, same era.
Learning to flip the bias of news headlines
Wei-Fan Chen, Henning Wachsmuth, Khalid Al-Khatib, and Benno Stein. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Detecting frames in news headlines and its application to analyzing news framing trends surrounding us gun violence
Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, and Derry Tanti Wijaya. 2019 · 2019
Detecting frames in news headlines and lead images in us gun violence coverage
Isidora Tourni, Lei Guo, Taufiq Husada Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Sha Lai, Hengchang Hu, Margrit Betke, et al. 2021 · 2021
Later among the works it cites.
Close: Contrastive learning of subframe embeddings for political bias classification of news media
Michelle YoungJin Kim and Kristen Johnson. 2022 · 2022
Later among the works it cites.
Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, and Lu Wang. 2022 · 2022
Later among the works it cites.
Neural media bias detection using distant supervision with babe–bias annotations by experts
Timo Spinde, Manuel Plank, Jan-David Krieger, Terry Ruas, Bela Gipp, and Akiko Aizawa. 2022 · 2022
Later among the works it cites.
Learning when and what to quote: A quotation recommender system with mutual promotion of recommendation and generation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Examining political trustworthiness through text-based measures of ideology
Eitan Sapiro-Gheiler. 2019 · 2019
Cited alongside, same era.
A multidimensional dataset based on crowdsourcing for analyzing and detecting news bias
Michael Färber, Victoria Burkard, Adam Jatowt, and Sora Lim. 2020 · 2020
Cited alongside, same era.
Automatic detection of sexist statements commonly used at the workplace
Dylan Grosz and Patricia Conde-Cespedes. 2020 · 2020
Cited alongside, same era.
Context in informational bias detection
Esther van den Berg and Katja Markert. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
Cited alongside, same era.
Soumya Barikeri, Anne Lauscher, Ivan Vulić, and Goran Glavaš. 2021 · 2021
Cited alongside, same era.
Continuity of topic, interaction, and query: Learning to quote in online conversations
Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, and Kam-Fai Wong. 2021a
Cited in the paper.
Lingzhi Wang, Xingshan Zeng, and Kam-Fai Wong. 2022 · 2022
Later among the works it cites.
The Oxford handbook of political psychology
Leonie Huddy, David O Sears, Jack S Levy, and Jennifer Jerit. 2023 · 2023
Later among the works it cites.
Ruoling Peng, Kang Liu, Po Yang, Zhipeng Yuan, and Shunbao Li. 2023 · 2023
Later among the works it cites.
Is chatgpt a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
Later among the works it cites.
Quotation recommendation for multi-party online conversations based on semantic and topic fusion
Lingzhi Wang, Xingshan Zeng, and Kam-Fai Wong. 2023 · 2023
Later among the works it cites.
Introducing mbib-the first media bias identification benchmark task and dataset collection
Martin Wessel, Tomás Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, and Timo Spinde. 2023 · 2023
Later among the works it cites.