Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
dc.contributor.author | Muir, Shannon Raine | |
dc.contributor.supervisor | Peter McEvoy | en_US |
dc.contributor.supervisor | David Garratt-Reed | en_US |
dc.date.accessioned | 2023-07-21T03:13:44Z | |
dc.date.available | 2023-07-21T03:13:44Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.uri | http://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.publisher | Curtin University | en_US |
dc.title | Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | en_US |
curtin.department | School of Population Health | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Health Sciences | en_US |
curtin.contributor.orcid | Muir, Shannon Raine [0000-0001-8733-9004] | en_US |