Where Do Bots Come From? An Analysis of Bot Codes Shared on GitHub.
An increasing amount of open source code is available on the Internet for quickly setting up and deploying bots on Twitter. This development of open-source Twitter bots signals the emergence of new political economies that redistribute agencies around technological actors, empowering both the writer...
| Publicado en: | International Journal of Communication (19328036) Vol. 10; pp. 4932 - 4952 |
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| Formato: | Artículo |
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University of Southern California, USC Annenberg Press
2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=127361888&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 127361888 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 19328036 3836 jtl: International Journal of Communication (19328036) issn: 19328036 maglogo: N pubinfo: dt: 2016 vid: 10 pid: 16336 pub: University of Southern California, USC Annenberg Press artinfo: ui: 127361888 ppf: 4932 ppct: 20 formats: tig: atl: Where Do Bots Come From? An Analysis of Bot Codes Shared on GitHub. aug: au: KOLLANYI, BENCE affil: Corvinus University of Budapest, Hungary su: Twitter (Web resource) Github Inc. Source code Computer programming Acquisition of data sug: subj: Github Inc. Other Computer Related Services Custom Computer Programming Services Computer systems design and related services (except video game design and development) Source code Computer programming Acquisition of data Twitter (Web resource) keyword: automation bot GitHub open source programming social media automation bot GitHub open source programming social media ab: An increasing amount of open source code is available on the Internet for quickly setting up and deploying bots on Twitter. This development of open-source Twitter bots signals the emergence of new political economies that redistribute agencies around technological actors, empowering both the writers of the bots and users who deploy a bot based on the shared code. However, we have no systematic knowledge about how these bots are produced or what role sharing and collaboration play in this process. This article examines the practice of writing and sharing bot codes on GitHub, currently the largest online code repository, by analyzing data about more than 4,000 public Twitter bot code repositories from 2008 to 2016. The data reveal an exponential growth in the number of Twitter bots and a strong dominance of U.S.-based bot developers. Based on data gathered from GitHub about the social aspect of programming on the platform, the article also discusses how developers collaborate and interact with one another on GitHub around bot codes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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