Injustice, be it procedural, retributive, or restorative, can propel the crowd into different forms of collective action. This dissertation explores the motivations and responses that crowds undertake in response to perceived injustices using a sequential exploratory research design. The dissertation uses multicase research to investigate the injustices against which crowds (broadly defined) are fighting and provides nuances into each type of injustice. Focusing on these cases, the research adapts and applies Hirschman's Exit, Voice and Loyalty theory to provide a typological model connecting injustices to crowd response types. Second, a series of linear, logistic and multinominal regression models using newly collected nationally representative data show the associations between perceived injustices and support for responses of various types. The research contributes a theoretical model for understanding responses to injustices which advances the discussion about the public's role in fighting injustice within society. / Doctor of Philosophy / People can react in all manner to injustices. They might march in the streets demanding justice, inform police of the identities of wrongdoers, or bury a sexual offender alive. This dissertation connects these seemingly disjointed occurrences and investigates the diverse perceived injustices (retributive, procedural and restorative) behind such actions. It examines multiple case studies of initiatives by the crowd from around the global to illustrate the nuances in the perceived injustices. The research also adapts the Hirschman's Exit, Voice and Loyalty framework about failing companies and States to connect what appears to be a random assortment of actions. Using the findings from the multiple case studies, the dissertation tests using a series of statistical models whether perceived injustices among the general US population lead to increased support for certain ways in which the crowd can fight for justice.
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/112975 |
| Date | 29 June 2021 |
| Creators | Ireland, Leanna |
| Contributors | Sociology, Hawdon, James E., Luther, Kurt, Dearden, Thomas E., Peguero, Anthony |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Dissertation |
| Format | ETD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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