Recalling presupposed information

Evidence from the online processing of presuppositions in political tweets

Datos Bibliográficos

ID20484455
AutoresViviana Masia (0000-0001-8162-201X, Roma Tre University), Davide Garassino (0000-0002-6224-4065, Zurich University of Applied Sciences), Nicola Brocca (0000-0001-5318-0162, Universität Innsbruck), Louis De Saussure (0000-0001-9587-8729, University of Neuchâtel)
Año2023
Volumen30
Número1
Páginas92-119
Fecha de publicación2023-11-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPragmatics & Cognition (JOURNAL)
Identificadores de la revistaISSN: 0929-0907 • E-ISSN: 1569-9943
EditorialJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/pc.22011.mas
OpenAlexW4388526316
IdiomaEN
Citas recibidas1
Referencias citadas38

This article addresses, experimentally, the question of how presuppositions are cognitively processed and retrieved in discourse. In the proposed research, we have administered tweets produced by Italian politicians to native speakers so as to assess how easily they could retrieve the presupposed content of two presupposition triggers (definite descriptions and change of state verbs), as opposed to their explicit paraphrase, by answering verification questions. Results showed that content presupposed by change of state verbs was likely to receive more attention than content conveyed by definite descriptions; this could possibly be due to the greater effort involved in mentally representing the event taken for granted by the predicates. Definite descriptions, on the contrary, seem to instruct to a shallower processing modality, which means that their content is processed less attentively or in a ‘good-enough’ way

Cognitive psychology · Interrogative word · Linguistics · Natural language processing · Paraphrase · Presupposition · Computer Science · Discourse Analysis in Language Studies · Language, Discourse, Communication Strategies · Language, Metaphor, and Cognition · Mathematics · Philosophy · Psychology · Artificial Intelligence