Toxic comments reduce the activity of volunteer editors on Wikipedia

Fuente: arXiv
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Autores principales: Smirnov, Ivan, Oprea, Camelia, Strohmaier, Markus
Formato: Preprint
Publicado: 2023
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author Smirnov, Ivan
Oprea, Camelia
Strohmaier, Markus
author_facet Smirnov, Ivan
Oprea, Camelia
Strohmaier, Markus
contents Wikipedia is one of the most successful collaborative projects in history. It is the largest encyclopedia ever created, with millions of users worldwide relying on it as the first source of information as well as for fact-checking and in-depth research. As Wikipedia relies solely on the efforts of its volunteer-editors, its success might be particularly affected by toxic speech. In this paper, we analyze all 57 million comments made on user talk pages of 8.5 million editors across the six most active language editions of Wikipedia to study the potential impact of toxicity on editors' behaviour. We find that toxic comments consistently reduce the activity of editors, leading to an estimated loss of 0.5-2 active days per user in the short term. This amounts to multiple human-years of lost productivity when considering the number of active contributors to Wikipedia. The effects of toxic comments are even greater in the long term, as they significantly increase the risk of editors leaving the project altogether. Using an agent-based model, we demonstrate that toxicity attacks on Wikipedia have the potential to impede the progress of the entire project. Our results underscore the importance of mitigating toxic speech on collaborative platforms such as Wikipedia to ensure their continued success.
format Preprint
id arxiv_https___arxiv_org_abs_2304_13568
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Toxic comments reduce the activity of volunteer editors on Wikipedia
Smirnov, Ivan
Oprea, Camelia
Strohmaier, Markus
Computers and Society
Computation and Language
Wikipedia is one of the most successful collaborative projects in history. It is the largest encyclopedia ever created, with millions of users worldwide relying on it as the first source of information as well as for fact-checking and in-depth research. As Wikipedia relies solely on the efforts of its volunteer-editors, its success might be particularly affected by toxic speech. In this paper, we analyze all 57 million comments made on user talk pages of 8.5 million editors across the six most active language editions of Wikipedia to study the potential impact of toxicity on editors' behaviour. We find that toxic comments consistently reduce the activity of editors, leading to an estimated loss of 0.5-2 active days per user in the short term. This amounts to multiple human-years of lost productivity when considering the number of active contributors to Wikipedia. The effects of toxic comments are even greater in the long term, as they significantly increase the risk of editors leaving the project altogether. Using an agent-based model, we demonstrate that toxicity attacks on Wikipedia have the potential to impede the progress of the entire project. Our results underscore the importance of mitigating toxic speech on collaborative platforms such as Wikipedia to ensure their continued success.
title Toxic comments reduce the activity of volunteer editors on Wikipedia
topic Computers and Society
Computation and Language
url https://arxiv.org/abs/2304.13568