论文标题
Twitter中新闻来源的声誉分析：2019年西班牙总统大选的特殊案例
Reputation analysis of news sources in Twitter: Particular case of Spanish presidential election in 2019
论文作者
论文摘要
虚假新闻影响了很大一部分人口，甚至成为对社会的危险。通常，这种虚假信息流通过互联网进行。意识到这个问题，在这项工作中，我们提出了一个综合指标，该指标衡量了Twitter中用户声誉，以分析该社交网络中内容的可信度。为了显示指标公用事业，我们分析了2019年至2020年西班牙一些政治话题的数据，我们检查了机器人在新闻传播中起着决定性的作用，并且可能预期，关于活动信誉的知名度和声誉报告之间的联系。
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.
