Algorithm for assessing the credibility of online information

Adela Gorea
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Abstract

The present paper is devoted to an algorithm for evaluating the data credibility and analyzes a number of available tools for this. During the investigation, it was foundt hat the most tools are used by journalists in doing this. Currently, there are attempts to automate the process of evaluating the information credibility, aimed not only at journalism professionals, but also at the regular user. In this sense, two tools wer eanalyzed: NewsGuard and WOT. The analysis of these tools allows us to determine the mechanisms of collective online analysis (crowdsourcing) in order to evaluate thecredibility of online information with the possible usage of computational intelligence without the mandatory experts’ participation. The developed algorithm takes over the best functions of the studied tools and can be useful for evaluating the data credibility from various websites.
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在线信息可信度评估算法
本文研究了一种评估数据可信度的算法,并分析了一些可用的工具。在调查过程中,我们发现记者使用的工具最多。目前,有人试图将评估信息可信度的过程自动化,不仅针对新闻专业人员,也针对普通用户。在这个意义上,我们分析了两个工具:NewsGuard和WOT。对这些工具的分析使我们能够确定集体在线分析(众包)的机制,以便在没有强制性专家参与的情况下,通过可能使用计算智能来评估在线信息的可信度。所开发的算法继承了所研究工具的最佳功能,可以用于评估来自各种网站的数据可信度。
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