Publication:
Not all who are bots are evil: A cross-platform analysis of automated agent governance

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cris.virtualsource.author-orcidc84686d4-ed4c-4a9a-8b82-e5683d89d9dc
cris.virtualsource.author-orcidd7e04fba-219d-416b-9eb9-18a2194ab6a9
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dc.contributor.authorMakhortykh, Mykola
dc.contributor.authorUrman, Aleksandra
dc.contributor.authorMünch, Felix Victor
dc.contributor.authorHeldt, Amélie
dc.contributor.authorDreyer, Stephan
dc.contributor.authorKettemann, Matthias C.
dc.date.accessioned2024-10-09T17:30:37Z
dc.date.available2024-10-09T17:30:37Z
dc.date.issued2022-04-01
dc.description.abstractThe growth of online platforms is accompanied by the increasing use of automated agents. Despite being discussed primarily in the context of opinion manipulation, agents play diverse roles within platform ecosystems that raises the need for governance approaches that go beyond policing agents’ unwanted behaviour. To provide a more nuanced assessment of agent governance, we introduce an analytical framework that distinguishes between different aspects and forms of governance. We then apply it to explore how agents are governed across nine platforms. Our observations show that despite acknowledging diverse roles of agents, platforms tend to focus on governing selected forms of their misuse. We also observe differences in governance approaches used by platforms, in particular when it comes to the agent rights/obligations and transparency of policing mechanisms. These observations highlight the necessity of advancing the algorithmic governance research agenda and developing a generalizable normative framework for agent governance.
dc.description.numberOfPages18
dc.description.sponsorshipInstitut für Kommunikations- und Medienwissenschaft (ikmb)
dc.identifier.doi10.48350/169264
dc.identifier.publisherDOI10.1177/14614448221079035
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/70159
dc.language.isoen
dc.publisherSage
dc.relation.ispartofNew media & society
dc.relation.issn1461-7315
dc.relation.organizationDCD5A442BFA3E17DE0405C82790C4DE2
dc.subjectalgorithmic governance
dc.subjectautomated agent
dc.subjectautomation
dc.subjectbot
dc.subjectplatform regulation
dc.subjectpolicing
dc.subjecttransparency
dc.subject.ddc000 - Computer science, knowledge & systems
dc.subject.ddc300 - Social sciences, sociology & anthropology
dc.titleNot all who are bots are evil: A cross-platform analysis of automated agent governance
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage981
oaire.citation.issue4
oaire.citation.startPage964
oaire.citation.volume24
oairecerif.author.affiliationInstitut für Kommunikations- und Medienwissenschaft (ikmb)
oairecerif.author.affiliationInstitut für Kommunikations- und Medienwissenschaft (ikmb)
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unibe.date.licenseChanged2022-05-03 14:41:46
unibe.description.ispublishedpub
unibe.eprints.legacyId169264
unibe.refereedTRUE
unibe.subtype.articlejournal

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