Gal Ron, Effi Levi, Odelia Oshri, Shaul R. Shenhav
{"title":"分解仇恨言论:研究社交媒体中仇恨言论的新注释框架","authors":"Gal Ron, Effi Levi, Odelia Oshri, Shaul R. Shenhav","doi":"10.18653/v1/2023.woah-1.21","DOIUrl":null,"url":null,"abstract":"In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.","PeriodicalId":378248,"journal":{"name":"The 7th Workshop on Online Abuse and Harms (WOAH)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media\",\"authors\":\"Gal Ron, Effi Levi, Odelia Oshri, Shaul R. Shenhav\",\"doi\":\"10.18653/v1/2023.woah-1.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.\",\"PeriodicalId\":378248,\"journal\":{\"name\":\"The 7th Workshop on Online Abuse and Harms (WOAH)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 7th Workshop on Online Abuse and Harms (WOAH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18653/v1/2023.woah-1.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 7th Workshop on Online Abuse and Harms (WOAH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18653/v1/2023.woah-1.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.