{"title":"保加利亚假新闻检测的KNN分类器距离度量分析","authors":"Tsvetelina Mladenova, Irena Valova","doi":"10.1109/HORA52670.2021.9461333","DOIUrl":null,"url":null,"abstract":"The problem with fake news and click-bait headlines is not new. Despite that this kind of news has existed for many years now, it was just a few years ago that the focus of the scientific community turned to them. Even though there is quite a lot of research on the topic of detecting fake news in general, there is a limited number of studies on fake news in Cyrillic. This paper focuses on the classification of fake news and click-bait headlines from Bulgarian Facebook Pages. The KNN machine-learning algorithm is chosen and four different distance metrics are tested and analyzed.","PeriodicalId":270469,"journal":{"name":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Analysis of the KNN Classifier Distance Metrics for Bulgarian Fake News Detection\",\"authors\":\"Tsvetelina Mladenova, Irena Valova\",\"doi\":\"10.1109/HORA52670.2021.9461333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem with fake news and click-bait headlines is not new. Despite that this kind of news has existed for many years now, it was just a few years ago that the focus of the scientific community turned to them. Even though there is quite a lot of research on the topic of detecting fake news in general, there is a limited number of studies on fake news in Cyrillic. This paper focuses on the classification of fake news and click-bait headlines from Bulgarian Facebook Pages. The KNN machine-learning algorithm is chosen and four different distance metrics are tested and analyzed.\",\"PeriodicalId\":270469,\"journal\":{\"name\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HORA52670.2021.9461333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HORA52670.2021.9461333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the KNN Classifier Distance Metrics for Bulgarian Fake News Detection
The problem with fake news and click-bait headlines is not new. Despite that this kind of news has existed for many years now, it was just a few years ago that the focus of the scientific community turned to them. Even though there is quite a lot of research on the topic of detecting fake news in general, there is a limited number of studies on fake news in Cyrillic. This paper focuses on the classification of fake news and click-bait headlines from Bulgarian Facebook Pages. The KNN machine-learning algorithm is chosen and four different distance metrics are tested and analyzed.
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