BelElect: A New Dataset for Bias Research from a ”Dark” Platform

Hoehn, Sviatlana; Mauw, Sjouke; Asher, Nicholas

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BelElect: A New Dataset for Bias Research from a ”Dark” Platform

Hoehn, Sviatlana; Mauw, Sjouke; Asher, Nicholas

2022 • In Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media

Peer reviewed

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https://hdl.handle.net/10993/52563

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Disciplines :

Computer science

Author, co-author :

Hoehn, Sviatlana ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Mauw

Mauw, Sjouke ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Asher, Nicholas; IRIT, France

External co-authors :

yes

Language :

English

Title :

BelElect: A New Dataset for Bias Research from a ”Dark” Platform

Publication date :

2022

Event name :

AAAI International Conference on Web and Social Media

Event organizer :

AAAI

Event date :

June 6-9, 2022

Audience :

International

Main work title :

Vol. 16 (2022): Proceedings of the Sixteenth International AAAI Conference on Web and Social Media

Publisher :

AAAI

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

Additional URL :

https://ojs.aaai.org/index.php/ICWSM/issue/view/492

FnR Project :

FNR13320890 - Spin And Bias In Language Analyzed In News And Text, 2018 (01/03/2020-31/08/2023) - Sjouke Mauw

Available on ORBilu :

since 27 October 2022

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