Português
Online Hate Speech: How discursive phenomena and rhetorical mechanisms influence negative emotions?
Event Title
XXXI Meeting of the Portuguese Association of Classification and Data Analysis (JOCLAD 2024)
Year (definitive publication)
2024
Language
English
Country
Portugal
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Abstract
This study aims to understand the psychosocial and linguistic characteristics associated with the direct (or explicit) or indirect (or implicit) manifestation of online hate speech (OHS), in the Portuguese online context. More specifically, this study aims to analyse how discursive phenomena underlying the expression of OHS relates with negative emotions, such as hate and anger. Furthermore, the proposed model analyses the role of diverse rhetorical mechanisms underlying the expression of OHS as mediator of the effects of discursive strategies on emotions. This study relies on a collection of 19500 annotated YouTube comments targeting racialized, Roma, migrant, and LGBTI+ communities.
Structural equation modelling is used to estimate the model parameters. Comparisons between direct and indirect hate speech are conducted through multigroup analysis.
Acknowledgements
Funded by the European Union: CERV-2021-EQUAL (101049306).
Keywords
Structural Equation Modelling (SEM),online hate speech,discursive phenomena,rhetorical mechanisms,emotions
Fields of Science and Technology Classification
- Psychology - Social Sciences
- Languages and Literature - Humanities
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| CERV-2021-EQUAL (101049306) | European Union |
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