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ORGANIZER;CN=Daniele  Quercia:mailto:daniele.quercia@polito.it
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 s@smartdata.polito.it:mailto:smartdaters@smartdata.polito.it
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 artdata.polito.it:mailto:members@smartdata.polito.it
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 to:minds@polito.it
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 :hci@polito.it
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 e AI:mailto:responsibleai@polito.it
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 r-nexa.polito.it:mailto:nexa@server-nexa.polito.it
DESCRIPTION;LANGUAGE=en-US:Algoactivism: How Platform Workers Contest Algor
 ithmic Management\n\nMartin Wiener\, TU Dresden\, Germany\n\nFormat: 35 mi
 n talk + 25 min Q&A\n\nOnline meeting<https://teams.microsoft.com/meet/334
 384836288868?p=MHORpt8DHT8NHfhGmt>\n\n\nAlgorithmic management (AM) has be
 come a defining feature of online labor platforms (OLPs)\, profoundly shap
 ing platform workers’ control over their working conditions. Prior resea
 rch has documented diverse forms of worker resistance to AM—or algoactiv
 ism—yet existing studies rest on two problematic assumptions. First\, th
 ey often assume that algoactivistic practices are uniformly accessible and
  arise directly from workers’ perceptions of structural constraints. Sec
 ond\, they assume that such practices are primarily reactive forms of resi
 stance broadly targeted at the OLP’s AM system. These assumptions obscur
 e heterogeneity in workers’ motivations and resources\, as well as varia
 tion in how algoactivistic practices unfold. This study develops a more nu
 anced understanding of platform workers’ algoactivism by tracing how cor
 responding practices emerge through situated\, reflective\, and resource-d
 ependent processes. Drawing on the contested terrain lens from labor proce
 ss theory\, we conceptualize the interplay between OLPs and workers as an 
 ongoing struggle over control of working conditions. We examine this strug
 gle in the context of Uber\, a widely recognized extreme case of AM. Using
  a computer-assisted grounded theory approach that integrates topic modeli
 ng with qualitative coding procedures across multiple data sources\, we de
 velop a process-theoretical model of how platform workers contest AM. Our 
 model centers on three recurring dynamics—reassessing terrain\, explorin
 g opportunities for contestation\, and contesting terrain through algoacti
 vistic practices—and yields two core theoretical contributions. First\, 
 we show that worker algoactivism depends on continual terrain reassessment
 s and uneven capacities to engage in three forms of resourcing: algorithm\
 , market\, and voice resourcing. Second\, we theorize algoactivism as a he
 terogeneous and multi-arena phenomenon comprising self-optimizing\, distan
 cing\, and confronting practices that vary in their logics\, targets\, and
  durability. Together\, these contributions advance a more dynamic and age
 ntic understanding of worker algoactivism and provide actionable insights 
 for the design and governance of platform-mediated work.\n\nMartin holds t
 he Chair of Business Information Systems\, esp. Business Engineering at TU
  Dresden\, Germany. He is also an Affiliated Researcher at FAU Erlangen-N
 ürnberg (Germany) and the Stockholm School of Economics Institute for Res
 earch (Sweden). Before joining TU Dresden\, he was an Associate Professor 
 at Bentley University\, USA. His research focuses on algorithmic control a
 nd management\, digital transformation processes\, human-AI collaboration\
 , and value creation through open data. His work has been published in lea
 ding Information Systems journals\, including MIS Quarterly (MISQ)\, Infor
 mation Systems Research (ISR)\, and the Journal of Management Information 
 Systems (JMIS). He currently serves as Senior Editor for the Information S
 ystems Journal(ISJ) and as Associate Editor for Business & Information Sys
 tems Engineering (BISE) and ISR.\n\n\nSubscribe to future talk announcemen
 ts: Anyone outside Bell Labs can receive talk announcements by subscribing
  to the mailing list. To subscribe\, send an empty email with the subject 
 line "Subscribe RAI" to daniele.quercia@polito.it\n\n\n
UID:040000008200E00074C5B7101A82E008000000001BC012CC0F6DDD01000000000000000
 010000000323B3943A05A5249BDA5859097207E9C
SUMMARY;LANGUAGE=en-US:[Responsible AI] Algoactivism\, Martin Wiener
DTSTART;TZID=GMT Standard Time:20261109T153000
DTEND;TZID=GMT Standard Time:20261109T163000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20261105T102521Z
TRANSP:OPAQUE
STATUS:CONFIRMED
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