Clickbait: types of words to create a misleading headline
DOI:
https://doi.org/10.14672/2.2020.1700Abstract
Clickbait is a manipulative headline in which the reader, intrigued by an upsetting, striking, unfinished or suggestive message, accesses the information after clicking on this caption. From a formal point of view, these headlines show a particular linguistic and discursive configuration which identifies them and allows them to reach their pragmatic and communicative purposes. In this paper we focus on the study of the types of words which the sender selects in order to construct clickbaits. We consider that the degree of achievement of the aforesaid purposes largely depends on the appropriate selection of word types.
Downloads
References
Berlyne, Daniel E. (1960), Conflict, arousal and curiosity, New York, Mc Graw Hill.
Biyani, Prakhar; Tsioutsioliklis, Kostas; Blackmen, John (2016), “8 Amazing Secrets for Getting More Clicks: Detecting Clickbaits in News Streams Using Article Informality”, Proceeding AAAI´16 Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence [26/12/2019] <https://dl.acm.org/citation.cfm?id=3015827>.
Chen, Yimin; Conroy, Niall J.; Rubin, Victoria L. (2015), “Misleading Online Content: Recognizing Clickbait as False News” [26/12/2019] <https://www.researchgate.net/profile/Victoria_Rubin/publication/283721117_Misleading_Online_Content_Recognizing_Clickbait_as_False_News/links/5644c4b108ae54697fb813d1/Misleading-Online-Content-Recognizing-Clickbait-as-False-News.pdf>.
Fundación Gabo (2016), “Taller de edición te textos periodísticos con A. Grijelmo” [23/05/2020] <https://fundaciongabo.org/es/recursos/relatorias/taller-de-edicion-detextos-periodisticos-con-alex-grijelmo>.
Lex, Elisabeth; Juffinger, Andreas; Granitzer, Michael (2010), “Objectivity classification in online media”, Proceedings of the 21 st ACM conference on hypertext and hypermedia: 293-94.
Lowenstein, George (1994), “The Psychology of Curiosity: A Review and Reinterpretation”, Psychological Bulletin, 116/1: 75-98.
Molek-Kozakowska, Katarzyna (2013), “Towards a pragma linguistic framewok for the study of sensationalism in news headlines”, Discourse & Communication, 7/2: 173-197 [26/12/2019] <http://journals.sagepub.com/doi/abs/10.1177/1750481312471668>.
Real Academia Española y Asociación de Academias de la Lengua Española (2010), Nueva Gramática de la lengua española. Manual, Madrid, Espasa.
Recasens, Marta; Danescu, Cristian; Jurafsky, Daan (2013), “Linguistic models for analyzing and detecting biased language”, Proceedings of the 51st annual meeting of the association for computational linguistics [26/12/2019] <https://www.aclweb.org/anthology/P13-1162.pdf>.
Reinemann, Carsten; Stanyer, James; Scherr, Sebastian (2011), “Hard and soft news: a review of concepts, operationalizations and key findings”, Journalism, 13/2: 1-9.
Robles Ávila, Sara (2004), Realce y apelación en el lenguaje de la publicidad, Madrid, Arco/Libros.
Robles Ávila, Sara (2005), “Consideraciones sobre el léxico de la publicidad”, Aspectos y perspectivas del lenguaje de la publicidad, ed. Sara Robles Ávila. Málaga, Analecta Malacitana, LVI: 127-246.
Robles Ávila, Sara (2019), “Clickbait: la manipulación en la Red”, Comunicación mediada por ordenador: la lengua, el discurso y la imagen, eds. Sara Robles Ávila; Antonio Moreno Ortiz. Madrid, Cátedra: 260-93.
Romero Gualda, María Victoria (2006), “Adjetivación sintáctica en textos publicitarios”, Español actual, 86: 139-51.
Rony, Md Main; Hassan, Naeemul; Yousuf, Mohammad (2017), “BaitBuster: Destined to Save You Some Clicks”, Computation + Journalism Simposium [26/12/2019] <https://www.researchgate.net/publication/320288079_BaitBuster_Destined_to_Save_You_Some_Clicks>.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Sara Robles Ávila
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
La revista está publicada bajo la licencia Creative Commons CC-BY.
