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How does the surveillance, data, and power approach impact the dynamics of social control? 


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The dynamics of social control are significantly influenced by the surveillance, data, and power approach, as highlighted in the provided contexts. Surveillance, whether by state agencies, private companies, or through social software technologies, plays a crucial role in shaping behaviors and exerting control. The evolution of social control models, such as the panopticon and the superpanopticon, demonstrates the shift towards more subtle and total forms of control in the digital society. The interdependency of privacy and surveillance, where data control approaches may inadvertently enable surveillance capabilities, further complicates the dynamics of social control. Ultimately, the increasing use of surveillance, data collection, and power dynamics in various sectors underscores a complex web of control mechanisms that impact individuals and society at large.

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Surveillance by state agencies intensifies social control over the marginalized, displacing social policy with crime control and raising concerns about managing deviant populations through targeted surveillance.
Open accessBook ChapterDOI
14 Feb 2023
Surveillance and data in modern finance create a form of social control through monitoring, profiling, and ranking individuals, influencing behavior and shaping power dynamics in society.
Open accessProceedings ArticleDOI
Rula Sayaf, Dave Clarke, James B. Rule 
13 Jul 2015
4 Citations
Surveillance in data control intertwines privacy and surveillance, emphasizing transparency and reciprocity to address the interdependency, impacting social control dynamics by balancing data control and surveillance.
The surveillance, data, and power approach, particularly through big data, transforms social control dynamics by enabling subtle, total, and indifferent control in the digital society.
Book ChapterDOI
16 Mar 2022
Surveillance, data collection, and power dynamics intertwine to control individuals systematically, shaping social control mechanisms through persistent tracking and data aggregation, as discussed in the paper.

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