Journal article
Even good bots fight: the case of Wikipedia
- Abstract:
- In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communities. The online world has turned into an ecosystem of bots. However, our knowledge of how these automated agents are interacting with each other is rather poor. Bots are predictable automatons that do not have the capacity for emotions, meaning-making, creativity, and sociality and it is hence natural to expect interactions between bots to be relatively predictable and uneventful. In this article, we analyze the interactions between bots that edit articles on Wikipedia. We track the extent to which bots undid each other’s edits over the period 2001–2010, model how pairs of bots interact over time, and identify different types of interaction trajectories. We find that, although Wikipedia bots are intended to support the encyclopedia, they often undo each other’s edits and these sterile “fights” may sometimes continue for years. Unlike humans on Wikipedia, bots’ interactions tend to occur over longer periods of time and to be more reciprocated. Yet, just like humans, bots in different cultural environments may behave differently. Our research suggests that even relatively “dumb” bots may give rise to complex interactions, and this carries important implications for Artificial Intelligence research. Understanding what affects bot-bot interactions is crucial for managing social media well, providing adequate cyber-security, and designing well functioning autonomous vehicles.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1371/journal.pone.0171774
Authors
- Publisher:
- Public Library of Science
- Journal:
- PLoS ONE More from this journal
- Volume:
- 12
- Issue:
- 2
- Article number:
- e0171774
- Publication date:
- 2017-01-01
- Acceptance date:
- 2017-01-25
- DOI:
- ISSN:
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1932-6203
- Keywords:
- Pubs id:
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pubs:643863
- UUID:
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uuid:d8dd2293-ea20-4a93-8674-9a6060442a36
- Local pid:
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pubs:643863
- Source identifiers:
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643863
- Deposit date:
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2016-11-03
Terms of use
- Copyright holder:
- Tsvetkova et al
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Tsvetkova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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