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This article briefly describes the application of artificial intelligence in news media and film and television media using a back-propagation neural network (BPNN) algorithm to reform refutation of rumors in news media and film and television media, and compared it with K-means and support vector machine algorithms in simulation experiments. The results showed that the BPNN-based rumor recognition model had better recognition performance and shorter recognition time; it was more accurate in recognizing Weibo texts that were complete and faster in recognizing bullet screen comments that were short; the BPNN-based rumor recognition model also had the lowest false detection cost and performed stably when being used in actual Weibo platform and bullet screen video website.<\/jats:p>","DOI":"10.1515\/jisys-2022-0112","type":"journal-article","created":{"date-parts":[[2022,8,18]],"date-time":"2022-08-18T07:30:35Z","timestamp":1660807835000},"page":"992-1001","source":"Crossref","is-referenced-by-count":6,"title":["Research on reform and breakthrough of news, film, and television media based on artificial intelligence"],"prefix":"10.1515","volume":"31","author":[{"given":"Xiaojing","family":"Li","sequence":"first","affiliation":[{"name":"Department of Police Management, Henan Police College , No. 1, Longzihu East Road, Zhengdong New District , Zhengzhou , Henan 450046 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2022,8,18]]},"reference":[{"key":"2022120618435589503_j_jisys-2022-0112_ref_001","doi-asserted-by":"crossref","unstructured":"Krittanawong C, Zhang HJ, Wang Z, Aydar M, Kitai T. 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