Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming

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 understa...

Full description

Bibliographic Details
Main Author: Muir, Shannon Raine
Format: Thesis
Published: Curtin University 2023
Online Access:http://hdl.handle.net/20.500.11937/92798
_version_ 1848765667203874816
author Muir, Shannon Raine
author_facet Muir, Shannon Raine
author_sort Muir, Shannon Raine
building Curtin Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-14T11:38:53Z
format Thesis
id curtin-20.500.11937-92798
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:38:53Z
publishDate 2023
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-927982023-07-21T03:13:44Z Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming Muir, Shannon Raine 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. 2023 Thesis http://hdl.handle.net/20.500.11937/92798 Curtin University fulltext
spellingShingle Muir, Shannon Raine
Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title_full Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title_fullStr Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title_full_unstemmed Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title_short Two sides to every tweet: Exploring the framing, predictors, and associated consequences of online shaming
title_sort two sides to every tweet: exploring the framing, predictors, and associated consequences of online shaming
url http://hdl.handle.net/20.500.11937/92798