Technology acceptance and transparency demands for toxic language classification – interviews with moderators of public online discussion fora-Reference-Cited by-同舟云学术

Technology acceptance and transparency demands for toxic language classification – interviews with moderators of public online discussion fora

Published:2024-02-18 Issue: Volume: Page:1-26
ISSN:0737-0024
Container-title:Human–Computer Interaction
language:en
Short-container-title:Human–Computer Interaction

Author:

Wilms Lena Katharina¹,Gerl Katharina²³,Stoll Anke⁴,Ziegele Marc¹

Affiliation:

1. Faculty of Arts and Humanities, Department of Social Sciences, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

2. Social Sciences Institute, Heinrich-Heine-University, Duesseldorf, Germany

3. Düsseldorf Institute for Internet and Democracy, Heinrich Heine University, Düsseldorf, Germany

4. Department of Computational Communication Science, Ilmenau University of Technology, Ilmenau, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/07370024.2024.2307610

Reference91 articles.

1. Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

2. Bardoel, J., & Lowe, G. F. (2007). From public service broadcasting to public service media. The core challenge. In G. F. Lowe & J. Bardoel (Eds.), From public service broadcasting to public service media: RIPE@ 2007 (pp. 9–26). Nordicom, University of Gothenburg.

3. Qualitative case study methodology: Study design and implementation for novice researchers;Baxter P.;The Qualitative Report,2008

4. A multi-level socio-technical systems telecommuting framework

5. Beuting S. (2021). Wenn Künstliche Intelligenz das Forum moderiert [When Artificial Intelligence moderates the forum]. Deutschlandfunk. (Retrieved January 2022) https://www.deutschlandfunk.de/sehr-wahrscheinlich-hass-wenn-kuenstliche-intelligenz-das.2907.de.html?dram:article_id=502849

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