{"title":"使用k近邻在Instagram上分类Covid-19的恶作剧新闻","authors":"I. F, Y. Yaddarabullah, S. Permana","doi":"10.1109/COMNETSAT53002.2021.9530828","DOIUrl":null,"url":null,"abstract":"The world was shocked by the outbreak of a virus known as COVID-19 in Wuhan, China. The spread of the virus is increasingly spreading to all countries in the world, including Indonesia. In Indonesia, information about the COVID-19 virus can be found on various social media, one of which is Instagram. Starting from scratch are found positive cases of COVID-19 in Jakarta. Until now, many news provider's accounts found COVID-19 uploaded on Instagram allows the spread of false news. The spread of fake news has greatly affected the handling of this COVID-19 pandemic. The number of hoax news COVID-19 spread on Instagram makes this study using Instagram as a media data retrieval. Therefore research is needed on classifying hoax news about COVID-19 on news accounts on Instagram. This study uses the K-Nearest Neighbor method to classify COVID-19 news on news accounts on Instagram. This research will classify Instagram based on valid news posts on 30 news accounts on Instagram containing news about COVID-19. The news reference used for categorizing hoaxes is from the @turnbackhoaxid account. In using the K-Nearest Neighbor method, the TF-IDF modeling is applied in conducting assessments and weighting. The research results by using the K-Nearest Neighbor method have a presentation accuracy of success 90%, where the precision value is 83%, recall 100%, and f1-score 91% can solve the problem spread of fake news in Indonesian about COVID-19 on news accounts on Instagram.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Classification Hoax News of Covid-19 on Instagram Using K-Nearest Neighbor\",\"authors\":\"I. F, Y. Yaddarabullah, S. Permana\",\"doi\":\"10.1109/COMNETSAT53002.2021.9530828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world was shocked by the outbreak of a virus known as COVID-19 in Wuhan, China. The spread of the virus is increasingly spreading to all countries in the world, including Indonesia. In Indonesia, information about the COVID-19 virus can be found on various social media, one of which is Instagram. Starting from scratch are found positive cases of COVID-19 in Jakarta. Until now, many news provider's accounts found COVID-19 uploaded on Instagram allows the spread of false news. The spread of fake news has greatly affected the handling of this COVID-19 pandemic. The number of hoax news COVID-19 spread on Instagram makes this study using Instagram as a media data retrieval. Therefore research is needed on classifying hoax news about COVID-19 on news accounts on Instagram. This study uses the K-Nearest Neighbor method to classify COVID-19 news on news accounts on Instagram. This research will classify Instagram based on valid news posts on 30 news accounts on Instagram containing news about COVID-19. The news reference used for categorizing hoaxes is from the @turnbackhoaxid account. In using the K-Nearest Neighbor method, the TF-IDF modeling is applied in conducting assessments and weighting. The research results by using the K-Nearest Neighbor method have a presentation accuracy of success 90%, where the precision value is 83%, recall 100%, and f1-score 91% can solve the problem spread of fake news in Indonesian about COVID-19 on news accounts on Instagram.\",\"PeriodicalId\":148136,\"journal\":{\"name\":\"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMNETSAT53002.2021.9530828\",\"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 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMNETSAT53002.2021.9530828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Classification Hoax News of Covid-19 on Instagram Using K-Nearest Neighbor
The world was shocked by the outbreak of a virus known as COVID-19 in Wuhan, China. The spread of the virus is increasingly spreading to all countries in the world, including Indonesia. In Indonesia, information about the COVID-19 virus can be found on various social media, one of which is Instagram. Starting from scratch are found positive cases of COVID-19 in Jakarta. Until now, many news provider's accounts found COVID-19 uploaded on Instagram allows the spread of false news. The spread of fake news has greatly affected the handling of this COVID-19 pandemic. The number of hoax news COVID-19 spread on Instagram makes this study using Instagram as a media data retrieval. Therefore research is needed on classifying hoax news about COVID-19 on news accounts on Instagram. This study uses the K-Nearest Neighbor method to classify COVID-19 news on news accounts on Instagram. This research will classify Instagram based on valid news posts on 30 news accounts on Instagram containing news about COVID-19. The news reference used for categorizing hoaxes is from the @turnbackhoaxid account. In using the K-Nearest Neighbor method, the TF-IDF modeling is applied in conducting assessments and weighting. The research results by using the K-Nearest Neighbor method have a presentation accuracy of success 90%, where the precision value is 83%, recall 100%, and f1-score 91% can solve the problem spread of fake news in Indonesian about COVID-19 on news accounts on Instagram.
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