{"title":"Actos de habla expresivos en la red social Facebook","authors":"Susana Ridao Rodrigo","doi":"10.7764/onomazein.47.10","DOIUrl":null,"url":null,"abstract":"espanolEl objetivo de este articulo es analizar, desde el perfil cuantitativo y cualitativo, los subtipos de actos de habla expresivos utilizados por usuarios de la red social Facebook con perfiles privados. Tras indagar en la teoria de los actos de habla, se detallan las subtipologias de actos de habla expresivos disenadas por Searle (1976), Norrick (1978), Carretero y otros (2014) y Maiz-Arevalo (2017). La metodologia empleada en esta investigacion ha sido creada ad hoc teniendo en cuenta, por un lado, las taxonomias ya existentes y, por otro lado, las necesidades especificas del corpus. Animar conforma una subtipologia que no aparece en los modelos citados. Como resultado, se ha de destacar que felicitar es la opcion mas utilizada. He aqui los porcentajes: felicitar (45.19 %), agradecer (16.72 %), aprobar (9.96 %), animar (8.54 %), admirar (7.11 %), saludar (6.76 %), dar la bienvenida (2.13 %), lamentar (1.77 %), transmitir alegria (1.42 y %)desaprobar (0.35 %). EnglishThe aim of this paper is to analyze, from the quantitative and qualitative profile, the subtypes of expressive speech acts used by users of the social network Facebook with private profiles. After inquiring into the theory of speech acts, the subtypes of expressive speech acts designed by Searle (1976), Norrick (1978), Carretero and others (2014) and Maiz-Arevalo (2017) are detailed. The methodology used in this research has been created ad hoc taking into account, on the one hand, the previous taxonomies and, on the other hand, the specific needs of the corpus. Animating conforms a subtype that does not appear in the cited models. As a result, it should be noted that congratulating is the option most used. These are the percentages: congratulate (45.19%), thank (16.72%), approve (9.96%), animate (8.54%), admire (7.11%), greet (6.76%), welcome (2.13%), lament (1.77%), transmit joy (1.42%) and disapprove (0.35%)","PeriodicalId":44966,"journal":{"name":"Onomazein","volume":"1 1","pages":"225-239"},"PeriodicalIF":0.3000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Onomazein","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.7764/onomazein.47.10","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 2
Abstract
espanolEl objetivo de este articulo es analizar, desde el perfil cuantitativo y cualitativo, los subtipos de actos de habla expresivos utilizados por usuarios de la red social Facebook con perfiles privados. Tras indagar en la teoria de los actos de habla, se detallan las subtipologias de actos de habla expresivos disenadas por Searle (1976), Norrick (1978), Carretero y otros (2014) y Maiz-Arevalo (2017). La metodologia empleada en esta investigacion ha sido creada ad hoc teniendo en cuenta, por un lado, las taxonomias ya existentes y, por otro lado, las necesidades especificas del corpus. Animar conforma una subtipologia que no aparece en los modelos citados. Como resultado, se ha de destacar que felicitar es la opcion mas utilizada. He aqui los porcentajes: felicitar (45.19 %), agradecer (16.72 %), aprobar (9.96 %), animar (8.54 %), admirar (7.11 %), saludar (6.76 %), dar la bienvenida (2.13 %), lamentar (1.77 %), transmitir alegria (1.42 y %)desaprobar (0.35 %). EnglishThe aim of this paper is to analyze, from the quantitative and qualitative profile, the subtypes of expressive speech acts used by users of the social network Facebook with private profiles. After inquiring into the theory of speech acts, the subtypes of expressive speech acts designed by Searle (1976), Norrick (1978), Carretero and others (2014) and Maiz-Arevalo (2017) are detailed. The methodology used in this research has been created ad hoc taking into account, on the one hand, the previous taxonomies and, on the other hand, the specific needs of the corpus. Animating conforms a subtype that does not appear in the cited models. As a result, it should be noted that congratulating is the option most used. These are the percentages: congratulate (45.19%), thank (16.72%), approve (9.96%), animate (8.54%), admire (7.11%), greet (6.76%), welcome (2.13%), lament (1.77%), transmit joy (1.42%) and disapprove (0.35%)