Activists in the dark: Social media algorithms and collective action in two social movement organizations. (January 2021)
- Record Type:
- Journal Article
- Title:
- Activists in the dark: Social media algorithms and collective action in two social movement organizations. (January 2021)
- Main Title:
- Activists in the dark: Social media algorithms and collective action in two social movement organizations
- Authors:
- Etter, Michael
Albu, Oana Brindusa - Abstract:
- It is widely established that social media afford social movement (SM) organizations new ways of organizing. Critical studies point out, however, that social media use may also trigger negative repercussions due to the commercial interests that are designed into these technologies. Yet empirical evidence about these matters is scarce. In this article, we investigate how social media algorithms influence activists' actualization of collective affordances. Empirically, we build on an ethnographic study of two SM organizations based in Tunisia. The contributions of this paper are twofold. Firstly, we provide a theoretical framework that specifies how algorithms condition the actualization of three collective affordances (interlinking, assembling, augmenting). Specifically, we show how these affordances are supported by algorithmic facilitation, that is, operations pertaining to the sorting of interactions and actors, the filtering of information, and the ranking and aggregation of content. Secondly, we extend the understanding of how social media platforms' profit-orientation undermines collective action. Namely, we identify how algorithms introduce constraints for organizing processes, manifested as algorithmic distortion, that is, information overload, opacity, and disinformation. We conclude by discussing the detrimental implications of social media algorithms for organizing and civic engagement, as activists are often unaware of the interests of social media-owningIt is widely established that social media afford social movement (SM) organizations new ways of organizing. Critical studies point out, however, that social media use may also trigger negative repercussions due to the commercial interests that are designed into these technologies. Yet empirical evidence about these matters is scarce. In this article, we investigate how social media algorithms influence activists' actualization of collective affordances. Empirically, we build on an ethnographic study of two SM organizations based in Tunisia. The contributions of this paper are twofold. Firstly, we provide a theoretical framework that specifies how algorithms condition the actualization of three collective affordances (interlinking, assembling, augmenting). Specifically, we show how these affordances are supported by algorithmic facilitation, that is, operations pertaining to the sorting of interactions and actors, the filtering of information, and the ranking and aggregation of content. Secondly, we extend the understanding of how social media platforms' profit-orientation undermines collective action. Namely, we identify how algorithms introduce constraints for organizing processes, manifested as algorithmic distortion, that is, information overload, opacity, and disinformation. We conclude by discussing the detrimental implications of social media algorithms for organizing and civic engagement, as activists are often unaware of the interests of social media-owning corporations. … (more)
- Is Part Of:
- Organization. Volume 28:Number 1(2021)
- Journal:
- Organization
- Issue:
- Volume 28:Number 1(2021)
- Issue Display:
- Volume 28, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 28
- Issue:
- 1
- Issue Sort Value:
- 2021-0028-0001-0000
- Page Start:
- 68
- Page End:
- 91
- Publication Date:
- 2021-01
- Subjects:
- Algorithms -- collective affordances -- social media -- collective action -- social movements
Organizational sociology -- Periodicals
Organization -- Periodicals
302.35 - Journal URLs:
- http://org.sagepub.com ↗
http://www.uk.sagepub.com/home.nav ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1177/1350508420961532 ↗
- Languages:
- English
- ISSNs:
- 1350-5084
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14913.xml