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dc.contributor.authorMuir, Shannon Raine
dc.contributor.supervisorPeter McEvoyen_US
dc.contributor.supervisorDavid Garratt-Reeden_US
dc.date.accessioned2023-07-21T03:13:44Z
dc.date.available2023-07-21T03:13:44Z
dc.date.issued2023en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11937/92798
dc.description.abstract

Online shaming, whereby individuals call out real or perceived wrongdoings online, has become an ever-increasing, global form of social policing. Despite the negative consequences associated with this phenomenon, most existing discussion and debate is anecdotal and media-based, with current understandings largely non-empirical, theoretical, and overall scarce. The overarching aim of this thesis was to explore the framing, predictors, and associated consequences of online shaming, which was achieved via a mixed-methods research project comprising four studies.

en_US
dc.publisherCurtin Universityen_US
dc.titleTwo sides to every tweet: Exploring the framing, predictors, and associated consequences of online shamingen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentSchool of Population Healthen_US
curtin.accessStatusOpen accessen_US
curtin.facultyHealth Sciencesen_US
curtin.contributor.orcidMuir, Shannon Raine [0000-0001-8733-9004]en_US


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