Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection-Reference-Cited by-同舟云学术

Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2022
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Author:

Alam Mehwish¹,Iana Andreea²,Grote Alexander³,Ludwig Katharina²,Müller Philipp²,Paulheim Heiko²

Affiliation:

1. FIZ Karlsruhe, Germany and Karlsruhe Institute of Technology, Germany

2. University of Mannheim, Germany

3. FZI Forschungszentrum Informatik, Germany and Karlsruhe Institute of Technology, Germany

Funder

Baden-Württemberg Stiftung

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487553.3524674

Reference48 articles.

1. Conceptualizing viewpoint diversity in news discourse

2. Eytan Bakshy , Solomon Messing , and Lada A Adamic . 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 ( 2015 ), 1130–1132. Eytan Bakshy, Solomon Messing, and Lada A Adamic. 2015. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 6239 (2015), 1130–1132.

3. Andrei Boutyline and Robb Willer . 2017. The social structure of political echo chambers: Variation in ideological homophily in online networks. Political psychology 38, 3 ( 2017 ), 551–569. Andrei Boutyline and Robb Willer. 2017. The social structure of political echo chambers: Variation in ideological homophily in online networks. Political psychology 38, 3 (2017), 551–569.

4. German’s Next Language Model

5. Alessandra Teresa Cignarella , Mirko Lai , Cristina Bosco , Viviana Patti , and Paolo Rosso . 2020. SardiStance @ EVALITA2020 : Overview of the Task on Stance Detection in Italian Tweets . In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020 ), Online event, December 17th, 2020(CEUR Workshop Proceedings, Vol. 2765). CEUR-WS. org. http://ceur-ws.org/Vol-2765/paper159.pdf Alessandra Teresa Cignarella, Mirko Lai, Cristina Bosco, Viviana Patti, and Paolo Rosso. 2020. SardiStance @ EVALITA2020: Overview of the Task on Stance Detection in Italian Tweets. In Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), Online event, December 17th, 2020(CEUR Workshop Proceedings, Vol. 2765). CEUR-WS.org. http://ceur-ws.org/Vol-2765/paper159.pdf

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