Conference proceeding
Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective
Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing, pp 356-359
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent political and cultural upheavals around the globe highlight the importance of studying extremism in online spaces. The CSCW community has shown growing interest in exploring the information and influence operations, use of language and multimedia and finance structures in online extremism movements. The goal of this workshop is to broaden the current research by considering multi-disciplinary and cross-cultural aspects of online extremism research. This workshop brings together international researchers to discuss challenges and new opportunities to help (1) understand the representativeness and validity of the data used for studying extremism (2) uncover nuances in extremism research across countries and cultures (3) build norms for platform governance and policies (4) develop critical perspectives on extremism studies addressing questions such as research ethics and bias (5) promoting research efforts to aid victims of the extremism (6) leverage extremism research for aiding the recovery and social support for populations involved in online extremism.
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Details
- Title
- Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective
- Creators
- Shruti Phadke - University of WashingtonJessie Seiler - University of WashingtonTanushree Mitra - University of WashingtonKiran Garimella - Massachusetts Institute of TechnologyMatthew Costello - Clemson UniversityJames Hawdon
- Contributors
- S Ding (Editor)S Fussell (Editor)A Monroy-Hernandez (Editor)S Munson (Editor)Shklovski (Editor)M Naaman (Editor)
- Publication Details
- Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing, pp 356-359
- Publisher
- Assoc Computing Machinery
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:001081877800084
- Scopus ID
- 2-s2.0-85118556457
- Other Identifier
- 991021985096704721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Computer Science, Software Engineering
- Social Issues