[Air-L] publication of Special Issue "Contentious Data" (Social Movement Studies)
Stefania Milan
lists at stefaniamilan.net
Tue Apr 9 04:39:25 PDT 2024
Dear colleagues
--apologies for cross-posting--
We are thrilled to announce the publication of the Special Issue
Contentious Data. The Shifting Space of Social Movement Research in
Datafied Societies in the journal Social Movement Studies! It is Volume
23, Issue 3, 2024, and can be accessed following this link [1].
The ambition with this collection is to kick-start a much-needed
interrogation of social movement theory vis-à-vis the pressures of our
increasingly data-driven society, dialoguing with media studies,
surveillance studies, science and technology studies, critical data
studies and much more. The issue includes eight original research
articles from diverse geographies, and two topical interventions by Nick
Couldry (LSE) and David S Meyer (UCI). The introductory article, titled
"Data in movement: the social movement society in the age of
datafication". seeks to re-read key concepts from social movement
research in light of developments in algorithmic media, targeted
advertising, and mass surveillance, and ties all the articles together [2].
Enjoy! Let us know if you have access problems, since not all articles
are open access: we will be happy to help.
Best, Stefania Milan and Davide Beraldo (guest editors), University of
Amsterdam
[1] https://www.tandfonline.com/toc/csms20/23/3
[2] https://doi.org/10.1080/14742837.2024.2331550
-------
Stefania Milan (she/her)
Professor of Critical Data Studies, University of Amsterdam |
https://stefaniamilan.net
Faculty Associate (2023-24), Berkman Klein Center for Internet &
Society, Harvard University
Research Associate, Chair “AI and Democracy”, School of Transnational
Governance, European University Institute
Project Leader, Citizenship and standard-setting in digital networks
(IN-SIGHT) (NWO Responsible Innovation Grant MVI.19.032) |
https://in-sight.it
@annliffey | @data_ctive | @bigdatasur
+31627875425 | +31(0)205252416
Fingerprint: 5A7B 6330 5684 FC39 3DC0 67D7 08B3 50AE 6AF5 1B63
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