Why Do We Need to Learn about Citational Practices? Recognizing Knowledge Production from the Global Souths and Beyond-Reference-Cited by-同舟云学术

Why Do We Need to Learn about Citational Practices? Recognizing Knowledge Production from the Global Souths and Beyond

Published:2023-03 Issue:3 Volume:29 Page:12-17
ISSN:1528-4972
Container-title:XRDS: Crossroads, The ACM Magazine for Students
language:en
Short-container-title:XRDS

Author:

Ogan Amy¹,van Amstel Frederick²,León Gabriela Molina³,Maestre Juan Fernando⁴,Williams Kristin⁵,Bidwell Nicola J⁶,Reynolds-Cuéllar Pedro⁷,Savage Saiph⁸,Oswal Sushil⁹,Sharma Vishal¹⁰^ORCID

Affiliation:

1. Carnegie Mellon University

2. Federal University of Technology - Paraná (UTFPR), Brazil

3. University of Bremen, Germany

4. University of Minnesota

5. Emory University

6. University of Melbourne, Australia and University of Management, Namibia

7. Massachusetts Institute of Technology

8. Northeastern University and Universidad Nacional Autonoma de Mexico (UNAM) in Mexico City

9. University of Washington

10. Georgia Institute of Technology

Abstract

How do you decide which papers to cite, how many, and from which particular sources? We reflect and discuss the implications of these critical questions based on our experiences in the panel and workshops on the topic of citational justice that took place at CSCW, CLIHC, and India HCI in 2021.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

Link

https://dl.acm.org/doi/pdf/10.1145/3589256

Reference20 articles.

1. Ahmed , S. I. et al. Citational justice and the politics of knowledge production. interactions 29, 5 ( 2022 ), 78--82. Ahmed, S. I. et al. Citational justice and the politics of knowledge production. interactions 29, 5 (2022), 78--82.

2. Latour , B. Pandora's Hope . Harvard University Press , Cambridge , 1999 . Latour, B. Pandora's Hope. Harvard University Press, Cambridge, 1999.

3. Braving Citational Justice in Human-Computer Interaction

4. Referencing as Cooperation or Competition

5. Identifying key papers within a journal via network centrality measures

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