The analysis of online news information credibility assessment on weibo based on analyzing content

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Abstract

As a representative of online news information carrier, social media contain much information that difficult to be differentiate between true and false. Sina Weibo is the most popular social media in China and need to be took into account. This paper first identify criterions and cues for assessing the credibility of online news through literature review. Second, we interviewed 5 experts in the news information judgment process. According to the interview, we reviseed the effective criteria and cues for helping users assess the online news information. Third, we design and develop an assistant webpage as a tool to help Weibo users assess the credibility a specific Weibo news by visualizing cues related to its source, content, dissemination, and topic. Future work are to test the effectiveness and efficiency of the tool and improve it.

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APA

Yuan, Q., & Gao, Q. (2016). The analysis of online news information credibility assessment on weibo based on analyzing content. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9736, pp. 125–135). Springer Verlag. https://doi.org/10.1007/978-3-319-40030-3_14

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