{"title":"印尼政治骗局的情绪分析","authors":"A. Salsabila, T. Suhardijanto","doi":"10.2991/assehr.k.200729.004","DOIUrl":null,"url":null,"abstract":"—Distinguishing between hoaxes and real news from a linguistic perspective requires further identification than can be provided by structural analysis. The study of emotions and sentiments contained in the text is also important, since these can indicate the author’s mental state, rhetorical position, attitude, judgment, and relationship with an object or event. This study aimed to analyze how emotions and sentiments emerge and play a role in hoaxes, employing qualitative methods and the appraisal theory framework of Martin and White [1]. Data were limited to five hoax texts, with five news texts from official sources used for comparative analysis. All texts were political in nature. Analysis was conducted using qualitative methods, such as annotation, description, interpretation, and comparison between kinds of text. The study found that (1) hoax texts are dominated by negative sentiments with strong semantics, (2) hoax texts tend to be affective and judgmental, and (3) hoax authors try to write texts as similar as possible to real news, often using a heterogloss voice to convey statements. When a monogloss voice is used, an attribute embedding process is dominant. These findings indicate that emotions and sentiments play a significant role in hoax claims and that appraisal theory can address deeper and broader aspects of sentiment analysis in texts.","PeriodicalId":368820,"journal":{"name":"Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sentiment Analysis on Indonesian Political Hoaxes\",\"authors\":\"A. Salsabila, T. Suhardijanto\",\"doi\":\"10.2991/assehr.k.200729.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"—Distinguishing between hoaxes and real news from a linguistic perspective requires further identification than can be provided by structural analysis. The study of emotions and sentiments contained in the text is also important, since these can indicate the author’s mental state, rhetorical position, attitude, judgment, and relationship with an object or event. This study aimed to analyze how emotions and sentiments emerge and play a role in hoaxes, employing qualitative methods and the appraisal theory framework of Martin and White [1]. Data were limited to five hoax texts, with five news texts from official sources used for comparative analysis. All texts were political in nature. Analysis was conducted using qualitative methods, such as annotation, description, interpretation, and comparison between kinds of text. The study found that (1) hoax texts are dominated by negative sentiments with strong semantics, (2) hoax texts tend to be affective and judgmental, and (3) hoax authors try to write texts as similar as possible to real news, often using a heterogloss voice to convey statements. When a monogloss voice is used, an attribute embedding process is dominant. These findings indicate that emotions and sentiments play a significant role in hoax claims and that appraisal theory can address deeper and broader aspects of sentiment analysis in texts.\",\"PeriodicalId\":368820,\"journal\":{\"name\":\"Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/assehr.k.200729.004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International University Symposium on Humanities and Arts (INUSHARTS 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/assehr.k.200729.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
-从语言学的角度区分假新闻和真实新闻需要比结构分析更深入的识别。对文本中包含的情绪和情感的研究也很重要,因为这些可以表明作者的精神状态、修辞立场、态度、判断以及与对象或事件的关系。本研究采用定性方法和Martin and White[1]的评价理论框架,旨在分析情绪和情绪如何在恶作剧中产生和发挥作用。数据仅限于五个恶作剧文本,五个来自官方来源的新闻文本用于比较分析。所有的文本都是政治性的。采用定性的方法进行分析,如注释、描述、解释、文本种类比较等。研究发现:(1)恶作剧文本以负面情绪为主,具有强烈的语义;(2)恶作剧文本倾向于情感和判断;(3)恶作剧作者尽可能地写出与真实新闻相似的文本,经常使用异质语音来传达陈述。当使用单损语音时,属性嵌入过程占主导地位。这些发现表明,情感和情绪在恶作剧索赔中起着重要作用,评估理论可以解决文本中情感分析的更深和更广泛的方面。
—Distinguishing between hoaxes and real news from a linguistic perspective requires further identification than can be provided by structural analysis. The study of emotions and sentiments contained in the text is also important, since these can indicate the author’s mental state, rhetorical position, attitude, judgment, and relationship with an object or event. This study aimed to analyze how emotions and sentiments emerge and play a role in hoaxes, employing qualitative methods and the appraisal theory framework of Martin and White [1]. Data were limited to five hoax texts, with five news texts from official sources used for comparative analysis. All texts were political in nature. Analysis was conducted using qualitative methods, such as annotation, description, interpretation, and comparison between kinds of text. The study found that (1) hoax texts are dominated by negative sentiments with strong semantics, (2) hoax texts tend to be affective and judgmental, and (3) hoax authors try to write texts as similar as possible to real news, often using a heterogloss voice to convey statements. When a monogloss voice is used, an attribute embedding process is dominant. These findings indicate that emotions and sentiments play a significant role in hoax claims and that appraisal theory can address deeper and broader aspects of sentiment analysis in texts.