Online Activism, Digital Domination, and the Rule of Trolls: Mapping and Theorizing Technological Oppression by Governments

Tamar Megiddo

Columbia Journal of Transnational Law2020article
ABDC A
Weight
0.42

Abstract

The internet and social media have revolutionized activism. However, governments seeking to curb opposition have recently learned to target the very same technologies that empowered activists in the first place. This article challenges the accepted framework for discussing such efforts by governments, centered on surveillance and privacy. It argues, first, that governments' actions should be conceptualized as measures of digital domination. Applying the republican concept of freedom as non-domination, the article suggests that the core harm resulting from such domination is to activists' freedom, not only to their privacy. Since activism is a check on the government, measures undermining the ability to engage in activism also have devastating consequences for the freedom of the citizenry as a whole. Second, the article argues that governments' reliance on digital militias allows them to sidestep the limits of their legitimate authority, therefore posing a grave threat to the rule of law. Finally, the article underscores that governments deploy measures of control beyond surveillance. Rather, they (1) gather information on activists, (2) disrupt communication channels, (3) flood online conversation to drown out the opposition, (4) deploy the state's coercive power based on information gathered, and (5) mobilize digital militias to bully activists online.

2 citations

Cite this paper

@article{tamar2020,
  title        = {{Online Activism, Digital Domination, and the Rule of Trolls: Mapping and Theorizing Technological Oppression by Governments}},
  author       = {Tamar Megiddo},
  journal      = {Columbia Journal of Transnational Law},
  year         = {2020},
}

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Evidence weight

0.42

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.20 × 0.4 = 0.08
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.