论文标题
在假新闻中探索主题连贯性
Exploring Thematic Coherence in Fake News
论文作者
论文摘要
假新闻的传播仍然是一个严重的全球问题。理解和减少它至关重要。区分欺骗性和真实故事的一种方法是分析它们的连贯性。这项研究探讨了主题模型的使用来分析在线共享的跨域新闻的连贯性。七个跨域数据集的实验结果表明，假新闻显示其开头句子与其余部分之间的主题偏差更大。
The spread of fake news remains a serious global issue; understanding and curtailing it is paramount. One way of differentiating between deceptive and truthful stories is by analyzing their coherence. This study explores the use of topic models to analyze the coherence of cross-domain news shared online. Experimental results on seven cross-domain datasets demonstrate that fake news shows a greater thematic deviation between its opening sentences and its remainder.
