Makhortykh, Mykola; Urman, Aleksandra; Münch, Felix; Heldt, Amelie; Dreyer, Stephan; Kettemann, Matthias (7 October 2021). Never send a human to do a machine's job? A cross-platform analysis of policies, mechanisms, and practices of automated agent governance (Unpublished). In: 4S Annual Meeting 2021. 6-9 October 2021.
Full text not available from this repository. (Request a copy)The continuous growth of online platforms is accompanied by the increasing use of automation for providing and utilizing their services. One form of automation, which is increasingly (ab)used by platform users for a multitude of tasks (e.g., content distribution and moderation, but also opinion manipulation and vandalism), are automated agents or bots. To understand how technical (e.g., velocity) and normative (e.g., the accountability of users for the actions of agents they deploy) aspects of agent use are regulated by different types of platforms (e.g., social media or messengers), we conduct a cross-platform analysis of automated agent governance. Using document analysis, we look at three different forms of governance: 1) platform-wide policies; 2) developer-centered mechanisms; 3) and user- and developer-made practices. Our findings highlight different governance paradigms (e.g., “Wild West” and “risk assessment”) as well as general tendency to overpolice the agents via non-transparent mechanisms.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Communication and Media Studies (ICMB) |
UniBE Contributor: |
Makhortykh, Mykola, Urman, Aleksandra |
Subjects: |
000 Computer science, knowledge & systems 300 Social sciences, sociology & anthropology 300 Social sciences, sociology & anthropology > 340 Law |
Language: |
English |
Submitter: |
Mykola Makhortykh |
Date Deposited: |
17 Jun 2022 09:16 |
Last Modified: |
05 Dec 2022 16:20 |
Uncontrolled Keywords: |
automated agents, bots, governance, regulation, platforms |
URI: |
https://boris.unibe.ch/id/eprint/170688 |
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