Features and Categories of Hyperbole in Cyberbullying Discourse on Social Media
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2022Access:
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Simona Ignat, Carl Vogel, 'Features and Categories of Hyperbole in Cyberbullying Discourse on Social Media', European Language Resources Association, 2022Download Item:
Abstract:
Cyberbullying discourse is achieved with multiple linguistic conveyances. Hyperboles witnessed in a corpus of cyberbullying
utterances are studied. Linguistic features of hyperbole using the traditional grammatical indications of exaggerations are
analyzed. The method relies on data selected from a larger corpus of utterances identified and labelled as “bullying”, from
Twitter, from October 2020 to March 2022. An outcome is a lexicon of 250 entries. A small number of lexical level features
have been isolated, and chi-squared contingency tests applied to evaluating their information value in identifying hyperbole.
Words or affixes indicating superlatives or extremes of scales, with positive but not negative valency items, interact with
hyperbole classification in this data set. All utterances extracted has been considered exaggerations and the stylistic status of “hyperbole” has been commented within the frame of new meanings in the context of social media.
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Author: Ignat, Simona; Vogel, Carl
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European Language Resources AssociationType of material:
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Full text availableKeywords:
cyberbullying, hyperboleSubject (TCD):
Digital Engagement , Digital Humanities , ARTIFICIAL INTELLIGENCE , Cognitive science , Computational linguistics , Formal SemanticsMetadata
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