'Invisible' Protest-Repression? Exploring Hard-to-Measure Interactions/Outcomes

Session Submission Type: Full Paper Panel

Session Description

Given that numerous ‘invisible’ and ‘hard-to-measure’ interactions undergird the dissent-repression relationship, outcomes and mechanisms of interest are often difficult to observe and evaluate. These observational challenges often shape the way researchers construct and test theory given extant measures on one hand, while inspiring the innovation of measures on another. This panel brings together diverse projects that speak to dissent-repression and measurement, including an examination of the linkages between offline-online protest by tracking how political exiles spread information through social media networks to encourage protests back home, how electoral autocracies may utilize different variations of off/online repression to prevent protest, how machine learning and latent variable models can be used to classify human-rights violations, and how emotions can act as useful indicators for individual perceptions of repression when ‘no dissent’ is observed on the macro-level.

Sub Unit

• Division 21: Conflict Processes

Individual Presentations

• #Activism from Exile: How Exiles Influence Protests Back Home - Alexandra Arons Siegel, University of Coloardo Boulder; Elizabeth R. Nugent, Princeton University

• Classifying Physical Integrity Rights Allegations using Machine Learning Methods - Rebecca Elizabeth Cordell, University of Texas at Dallas; K. Chad Clay, University of Georgia; Christopher J. Fariss, University of Michigan; Reed M. Wood, Arizona State University; Thorin Martin Wright, Arizona State University

• Online and Offline Repression in Electoral Autocracies - Katerina Tertytchnaya, University College London; Anita R. Gohdes, Hertie School

• Fear as a Continuum: Using Terror and Horror to Understand Protest Decisions - Agnes Yu, London School of Economics

Chair

• Courtenay R. Conrad University of California, Merced

Discussants

• Lauren E Young University of California, Davis

• Chantal Berman Georgetown University