News authentication early warning method and system based on user generated content
An early warning system and user technology, applied in the direction of website content management, special data processing applications, instruments, etc., can solve problems such as no mature solutions
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Embodiment 2
[0100] Embodiment two, give an embodiment from the authentication aspect of news thread transmission mode
[0101] For example, there is a news report like this: "On March 25, 2013, Wen, a post-90s girl in Shenzhen known as the most beautiful girl in Shenzhen, touched passers-by by feeding disabled beggars on the street."
[0102] The news clues of this news report include key words, "the most beautiful girl in Shenzhen", the start and end time of the news clues "March 25, 2013-March 29, 2013" and other news clue data. According to the news thread data, obtain representative thread tags, source Weibo ID, user ID, etc.
[0103] Semantic knowledge extraction was carried out on the news report, and the characters "Wen Mou (heroine)", "Jin Mou Shaoxia (correspondent)", "Zheng Mou (deputy president of a Chinese agency)" were obtained, and the time was "March 25, 2013 ", the location "a coast in Shenzhen", the organization "a new network, a newspaper in a special zone in Shenzhen",...
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