{"title":"独立事实核查组织偏离了政治中立性","authors":"Sahajpreet Singh, Sarah Masud, Tanmoy Chakraborty","doi":"arxiv-2407.19498","DOIUrl":null,"url":null,"abstract":"Independent fact-checking organizations have emerged as the crusaders to\ndebunk fake news. However, they may not always remain neutral, as they can be\nselective in the false news they choose to expose and in how they present the\ninformation. They can deviate from neutrality by being selective in what false\nnews they debunk and how the information is presented. Prompting the now\npopular large language model, GPT-3.5, with journalistic frameworks, we\nestablish a longitudinal measure (2018-2023) for political neutrality that\nlooks beyond the left-right spectrum. Specified on a range of -1 to 1 (with\nzero being absolute neutrality), we establish the extent of negative portrayal\nof political entities that makes a difference in the readers' perception in the\nUSA and India. Here, we observe an average score of -0.17 and -0.24 in the USA\nand India, respectively. The findings indicate how seemingly objective\nfact-checking can still carry distorted political views, indirectly and subtly\nimpacting the perception of consumers of the news.","PeriodicalId":501172,"journal":{"name":"arXiv - STAT - Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Independent fact-checking organizations exhibit a departure from political neutrality\",\"authors\":\"Sahajpreet Singh, Sarah Masud, Tanmoy Chakraborty\",\"doi\":\"arxiv-2407.19498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Independent fact-checking organizations have emerged as the crusaders to\\ndebunk fake news. However, they may not always remain neutral, as they can be\\nselective in the false news they choose to expose and in how they present the\\ninformation. They can deviate from neutrality by being selective in what false\\nnews they debunk and how the information is presented. Prompting the now\\npopular large language model, GPT-3.5, with journalistic frameworks, we\\nestablish a longitudinal measure (2018-2023) for political neutrality that\\nlooks beyond the left-right spectrum. Specified on a range of -1 to 1 (with\\nzero being absolute neutrality), we establish the extent of negative portrayal\\nof political entities that makes a difference in the readers' perception in the\\nUSA and India. Here, we observe an average score of -0.17 and -0.24 in the USA\\nand India, respectively. The findings indicate how seemingly objective\\nfact-checking can still carry distorted political views, indirectly and subtly\\nimpacting the perception of consumers of the news.\",\"PeriodicalId\":501172,\"journal\":{\"name\":\"arXiv - STAT - Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - STAT - Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.19498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - STAT - Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.19498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Independent fact-checking organizations exhibit a departure from political neutrality
Independent fact-checking organizations have emerged as the crusaders to
debunk fake news. However, they may not always remain neutral, as they can be
selective in the false news they choose to expose and in how they present the
information. They can deviate from neutrality by being selective in what false
news they debunk and how the information is presented. Prompting the now
popular large language model, GPT-3.5, with journalistic frameworks, we
establish a longitudinal measure (2018-2023) for political neutrality that
looks beyond the left-right spectrum. Specified on a range of -1 to 1 (with
zero being absolute neutrality), we establish the extent of negative portrayal
of political entities that makes a difference in the readers' perception in the
USA and India. Here, we observe an average score of -0.17 and -0.24 in the USA
and India, respectively. The findings indicate how seemingly objective
fact-checking can still carry distorted political views, indirectly and subtly
impacting the perception of consumers of the news.