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Exploring Systematic Bias through Article Deletions on Wikipedia from a Behavioral Perspective

Published: 14 October 2020 Publication History

Abstract

The gender gap in participation on Wikipedia is well established. The impacts of the participation bias on content may be expressed through a number of different behaviors. This research considers potential content biases that may result from efforts to delete content. We collect deletion data on a sample of article pages selected based on a method designed to identify content of likely interest to a specific group of people; men and women in this case. The analysis illustrates that there does not appear to be a systematic bias resulting in more deletions or nominations for deletions against content of likely interest to women. We consider how these results improve our understanding of bias and the ways peer production systems can mitigate the potential for biases.

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Cited By

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  • (2024)Quantifying Americanization: Coverage of American Topics in Different WikipediasSocial Science Computer Review10.1177/0894439323122016542:4(977-996)Online publication date: 2-Jan-2024
  • (2024)Assessing knowledge organization systems from a gender perspective: Wikipedia taxonomy and Wikidata ontologiesJournal of Documentation10.1108/JD-11-2023-023080:7(124-147)Online publication date: 5-Apr-2024
  • (2023)Wikipedia gender gap: a scoping reviewEl Profesional de la información10.3145/epi.2023.nov.17Online publication date: 16-Dec-2023
  • Show More Cited By

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Published In

cover image ACM Other conferences
OpenSym '20: Proceedings of the 16th International Symposium on Open Collaboration
August 2020
149 pages
ISBN:9781450387798
DOI:10.1145/3412569
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • TJEF: The John Ernest Foundation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2020

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Author Tags

  1. Article Deletion
  2. Gender
  3. Peer Production
  4. Systemic Bias
  5. Wikipedia

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  • Research-article
  • Research
  • Refereed limited

Conference

OpenSym 2020
OpenSym 2020: 16th International Symposium on Open Collaboration
August 25 - 27, 2020
Virtual conference, Spain

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OpenSym '20 Paper Acceptance Rate 12 of 21 submissions, 57%;
Overall Acceptance Rate 108 of 195 submissions, 55%

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Cited By

View all
  • (2024)Quantifying Americanization: Coverage of American Topics in Different WikipediasSocial Science Computer Review10.1177/0894439323122016542:4(977-996)Online publication date: 2-Jan-2024
  • (2024)Assessing knowledge organization systems from a gender perspective: Wikipedia taxonomy and Wikidata ontologiesJournal of Documentation10.1108/JD-11-2023-023080:7(124-147)Online publication date: 5-Apr-2024
  • (2023)Wikipedia gender gap: a scoping reviewEl Profesional de la información10.3145/epi.2023.nov.17Online publication date: 16-Dec-2023
  • (2023)Wikipedia gender gap: a scoping reviewEl Profesional de la información10.3145/10.3145/epi.2023.nov.17Online publication date: 16-Dec-2023
  • (2023)Fairness in Socio-Technical Systems: A Case Study of WikipediaCollaboration Technologies and Social Computing10.1007/978-3-031-42141-9_6(84-100)Online publication date: 22-Aug-2023

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