Interacting with bots online: Users’ reactions to actions of automated programs in Wikipedia

Clement, Maxime; Guitton, Matthieu J.

doi:10.1016/j.chb.2015.03.078

Cited by 30 publications

(16 citation statements)

References 20 publications

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“…As noted, Wikipedia bots are increasingly common and research has started to examine attitudes towards them. Clément and Guitton [4] analyzed a corpus of 6528 interventions of users on talk pages of 50 Wikipedia bots to understand reactions of users depending on the characteristics of the bots' actions. They combined the different characteristics of the bots and classified bots as "servant bots", bots "which mainly do repetitive and laborious work instead of human users", and "policing bots", "which proactively enforc[e] Wikipedia's guidelines and norms" [4, p. 66].…”

Section: Attitudes Towards Botsmentioning

confidence: 99%

Factors Influencing Approval of Wikipedia Bots

Dalgali¹,

Crowston²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Before a Wikipedia bot is allowed to edit, the operator of the bot must get approval. The Bot Approvals Group (BAG), a committee of Wikipedia bot developers, users and editors, discusses each bot request to reach consensus regarding approval or denial. We examine factors related to approval of a bot by analyzing 100 bots' project pages. The results suggest that usefulness, value-based decision making and the bot's status (e.g., automatic or manual) are related to approval. This study may contribute to understanding decision making regarding the humanautomation boundary and may lead to developing more efficient bots.

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Section: Attitudes Towards Botsmentioning

confidence: 99%

Factors Influencing Approval of Wikipedia Bots

Dalgali¹,

Crowston²

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…As well as these wider social, technical and political implications of bot use, there is growing recognition of the important role bots play in automating otherwise burdensome and repetitive processes on platforms such as Wikipedia [11,36] and Slack [33]. Clément and Guitton [11] categorise bots on Wikipedia into two opposing ideotypes: 'servant' bots performing laborious work in place of human volunteers (e.g. correcting grammatical error); and 'policing' bots enforcing guidelines and norms.…”

Section: Related Workmentioning

confidence: 99%

“…@MothGenerator); give directions to mysterious places [28]; and attempt humour (e.g @AmIRiteBot). Outside of social media, bots are also an established feature of communities such as Wikipedia, Slack and Reddit, where they provide ways to automate the standard protocols that govern platform content and perform other tasks that are time-consuming for human administrators [11,33,36,52]. However, poor design and implementations of bots can have negative effects.…”

Section: Introductionmentioning

confidence: 99%

"Could You Define That in Bot Terms"?

Long

Vines

Sutton

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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Bots are estimated to account for well over half of all web traffic, yet they remain an understudied topic in HCI. In this paper we present the findings of an analysis of 2284 submissions across three discussion groups dedicated to the request, creation and discussion of bots on Reddit. We set out to examine the qualities and functionalities of bots and the practical and social challenges surrounding their creation and use. Our findings highlight the prevalence of misunderstandings around the capabilities of bots, misalignments in discourse between novices who request and more expert members who create them, and the prevalence of requests that are deemed to be inappropriate for the Reddit community. In discussing our findings, we suggest future directions for the design and development of tools that support more carefully guided and reflective approaches to bot development for novices, and tools to support exploring the consequences of contextuallyinappropriate bot ideas.

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“…Since English is the most widely used language for information gathering on the Internet, from search engines to Wikipedia articles [8,9], we focused the present survey on website written in English language. Three categories of websites were considered.…”

Section: Web Survey and Websites Analysismentioning

confidence: 99%