Qbias - A Dataset on Media Bias in Search Queries and Query Suggestions
Author:
Affiliation:
1. Technische Hochschule Köln, Germany
Funder
Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3578503.3583628
Reference40 articles.
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2. [ 2 ] AllSides. 2022 . Balanced News Headlines Roundup . Retrieved Nov 30, 2022 from https://www.allsides.com/unbiased-balanced-news [2] AllSides. 2022. Balanced News Headlines Roundup. Retrieved Nov 30, 2022 from https://www.allsides.com/unbiased-balanced-news
3. [ 3 ] Jing Bai Rui Cao Wen Ma and Hiroyuki Shinnou. 2020. Construction of Domain-Specific DistilBERT Model by Using Fine-Tuning. In TAAI. 237–241. [3] Jing Bai Rui Cao Wen Ma and Hiroyuki Shinnou. 2020. Construction of Domain-Specific DistilBERT Model by Using Fine-Tuning. In TAAI. 237–241.
4. [ 4 ] Ramy Baly Giovanni Da San Martino James Glass and Preslav Nakov. 2020. We Can Detect Your Bias: Predicting the Political Ideology of News Articles. In EMNLP. 4982–4991. [4] Ramy Baly Giovanni Da San Martino James Glass and Preslav Nakov. 2020. We Can Detect Your Bias: Predicting the Political Ideology of News Articles. In EMNLP. 4982–4991.
5. [ 5 ] Michael Barbaro and Tom Zeller . 2006. A Face is exposed for AOL searcher no. 4417749. New York Times (01 2006 ). [5] Michael Barbaro and Tom Zeller. 2006. A Face is exposed for AOL searcher no. 4417749. New York Times (01 2006).
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1. Investigating Bias in Political Search Query Suggestions by Relative Comparison with LLMs;Companion Proceedings of the 16th ACM Web Science Conference;2024-05-21
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