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

Makhortykh, Mykola; Urman, Aleksandra; Münch, Felix Victor; Heldt, Amélie; Dreyer, Stephan; Kettemann, Matthias C (2022). Not all who are bots are evil: A cross-platform analysis of automated agent governance. New Media & Society, 24(4):964-981.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:Sociology and Political Science, Communication
Scope:Discipline-based scholarship (basic research)
Language:English
Date:1 April 2022
Deposited On:11 Apr 2022 14:37
Last Modified:26 Mar 2025 02:40
Publisher:Sage Publications
ISSN:1461-4448
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1177/14614448221079035
Other Identification Number:merlin-id:22345
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  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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