Fake news are affecting a large proportion of the population even becoming a danger to the society. Mostly, this disinformation flow take place through Internet. Being aware of that problem, in this work we propose a synthetic indicator that measures the user reputation in Twitter in order to analyze the credibility of the content in this social network. In order to show the indicator utility, we have analyzed data from some political topics in Spain from 2019 to 2020 and we have checked that bots plays a decisive role into the spread of news and, as might be expected, the link among popularity and reputation reports about the event credibility.
翻译：假消息正在影响着很大一部分人口,甚至成为对社会的威胁。多数情况下,这种虚假信息是通过互联网传播的。意识到这一问题,在这项工作中,我们提出了一个合成指标,用来衡量推特用户的声誉,以便分析这个社会网络内容的可信度。为了显示该指标的效用,我们分析了2019年至2020年西班牙一些政治议题的数据,我们检查了机器人在新闻传播中起着决定性作用,以及人们可能预期的关于事件可信度的受欢迎程度和声誉报告之间的联系。
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