Work

Shadowbanning

Year: 2024

Type: article

Abstract: Social media platforms face numerous societal, ethical, and political issues. Online extremism (Spiekermann et al. 2022 ), disinformation campaigns (Starbird et al. 2019 ), hate speech (Oksanen et al. 2020 ), and cyberbullying (Chan et al. 2019 ) are just a few examples of the social media related problems. Social media platforms have responded by implementing various content moderation mechanisms to govern communication on social media platforms (Grimmelmann 2015 ). Content moderation is a rapidly growing US$ 9.8 Bn market (Bloomberg 2022 ; Wankhede 2022 ). Particularly algorithmic content moderation is an increasingly popular approach (Katzenbach 2021 ). Algorithmic content moderation encompasses platform design decisions that dictate how community members interact with one another and determine who gets to see which content (Duffy and Meisner 2022 ; Zeng and Kaye 2022 ). Algorithmic content moderation offers scalable, automated systems that classify user-generated content to inform governance decisions (e.g., removal, geoblocking, account takedown) (Gorwa et al. 2020 ; Grimmelmann 2015 ).

Source: Business & Information Systems Engineering

DOI: 10.1007/s12599-024-00905-3

Authors: Marten Risius, Kevin Marc Blasiak

Institutions: The University of Queensland, Neu-Ulm University of Applied Sciences, TU Wien

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Estimated APC paid: $3,790