{"title":"移民在西班牙司法判决中的代表性:利用语料库数据驳斥仇恨言论","authors":"María José Marín Pérez, Á. Almela","doi":"10.3366/cor.2022.0253","DOIUrl":null,"url":null,"abstract":"The phenomenon of immigration and its depiction in media texts have been examined profusely within the field of corpus-based discourse analysis ( Gabrielatos and Baker, 2008 ; Baker et al., 2013 ; and Blinder and Allen, 2016 ). This research seeks to present it as reflected in a corpus of 600 judicial decisions issued by Spanish courts in the years 2016 and 2017. This analysis was motivated by the rise of extreme right-wing parties in Europe in recent years. Such parties dehumanise immigrants and portray them as a threat to the welfare state. On first examination, the results appear to dissociate immigration and crime since a considerable percentage of the keywords obtained (about 20 percent) revolves around three major topoi (namely, ‘family’, ‘territory/access’ and ‘legal punishment’) and there is no evidence of any major offences or crimes amongst the top-ranking lexicon. The study of the collocate networks of the keywords within the category ‘legal punishment’ confirms our initial perception; in fact, out of twenty-one collocates, only the word delito (‘crime’) itself collocates with terms referring to typified crimes such as violencia (‘violence’). In parallel, the data were triangulated using the text-classification software UMUTextStats ( García-Díaz et al., 2018 ). The results of this second analysis also confirm our initial observations.","PeriodicalId":44933,"journal":{"name":"Corpora","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The representation of migrants in Spanish judicial decisions: using corpus data to refute hate speech\",\"authors\":\"María José Marín Pérez, Á. Almela\",\"doi\":\"10.3366/cor.2022.0253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The phenomenon of immigration and its depiction in media texts have been examined profusely within the field of corpus-based discourse analysis ( Gabrielatos and Baker, 2008 ; Baker et al., 2013 ; and Blinder and Allen, 2016 ). This research seeks to present it as reflected in a corpus of 600 judicial decisions issued by Spanish courts in the years 2016 and 2017. This analysis was motivated by the rise of extreme right-wing parties in Europe in recent years. Such parties dehumanise immigrants and portray them as a threat to the welfare state. On first examination, the results appear to dissociate immigration and crime since a considerable percentage of the keywords obtained (about 20 percent) revolves around three major topoi (namely, ‘family’, ‘territory/access’ and ‘legal punishment’) and there is no evidence of any major offences or crimes amongst the top-ranking lexicon. The study of the collocate networks of the keywords within the category ‘legal punishment’ confirms our initial perception; in fact, out of twenty-one collocates, only the word delito (‘crime’) itself collocates with terms referring to typified crimes such as violencia (‘violence’). In parallel, the data were triangulated using the text-classification software UMUTextStats ( García-Díaz et al., 2018 ). The results of this second analysis also confirm our initial observations.\",\"PeriodicalId\":44933,\"journal\":{\"name\":\"Corpora\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Corpora\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3366/cor.2022.0253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corpora","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3366/cor.2022.0253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
摘要
移民现象及其在媒体文本中的描述在基于语料库的话语分析领域得到了广泛的研究(Gabrielatos和Baker, 2008;Baker et al., 2013;Blinder and Allen, 2016)。本研究试图从西班牙法院在2016年和2017年发布的600个司法判决语料库中反映出这一点。这种分析是受到近年来欧洲极右翼政党崛起的推动。这些政党贬低移民的人性,把他们描绘成福利国家的威胁。在第一次检查中,结果似乎将移民和犯罪分离开来,因为获得的关键词中有相当大比例(约20%)围绕三个主要主题(即“家庭”,“领土/访问”和“法律惩罚”),并且在排名靠前的词汇中没有任何重大违法或犯罪的证据。对“法律处罚”范畴内关键词搭配网络的研究证实了我们的初步认知;事实上,在21种搭配中,只有delito(“犯罪”)这个词本身与典型犯罪(如violencia(“暴力”))的术语搭配。同时,使用文本分类软件UMUTextStats对数据进行三角测量(García-Díaz et al., 2018)。第二次分析的结果也证实了我们最初的观察。
The representation of migrants in Spanish judicial decisions: using corpus data to refute hate speech
The phenomenon of immigration and its depiction in media texts have been examined profusely within the field of corpus-based discourse analysis ( Gabrielatos and Baker, 2008 ; Baker et al., 2013 ; and Blinder and Allen, 2016 ). This research seeks to present it as reflected in a corpus of 600 judicial decisions issued by Spanish courts in the years 2016 and 2017. This analysis was motivated by the rise of extreme right-wing parties in Europe in recent years. Such parties dehumanise immigrants and portray them as a threat to the welfare state. On first examination, the results appear to dissociate immigration and crime since a considerable percentage of the keywords obtained (about 20 percent) revolves around three major topoi (namely, ‘family’, ‘territory/access’ and ‘legal punishment’) and there is no evidence of any major offences or crimes amongst the top-ranking lexicon. The study of the collocate networks of the keywords within the category ‘legal punishment’ confirms our initial perception; in fact, out of twenty-one collocates, only the word delito (‘crime’) itself collocates with terms referring to typified crimes such as violencia (‘violence’). In parallel, the data were triangulated using the text-classification software UMUTextStats ( García-Díaz et al., 2018 ). The results of this second analysis also confirm our initial observations.