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

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

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BORIS DOI
10.48350/169264
Publisher DOI
10.1177/14614448221079035
Description
The 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.
Date of Publication
2022-04-01
Publication Type
Article
Subject(s)
000 - Computer science, knowledge & systems
300 - Social sciences, sociology & anthropology
Keyword(s)
algorithmic governance
•
automated agent
•
automation
•
bot
•
platform regulation
•
policing
•
transparency
Language(s)
en
Contributor(s)
Makhortykh, Mykolaorcid-logo
Institut für Kommunikations- und Medienwissenschaft (ikmb)
Urman, Aleksandraorcid-logo
Institut für Kommunikations- und Medienwissenschaft (ikmb)
Münch, Felix Victor
Heldt, Amélie
Dreyer, Stephan
Kettemann, Matthias C.
Additional Credits
Institut für Kommunikations- und Medienwissenschaft (ikmb)
Series
New media & society
Publisher
Sage
ISSN
1461-7315
Access(Rights)
open.access
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