论文标题

探索视觉内容在假新闻检测中的作用

Exploring the Role of Visual Content in Fake News Detection

论文作者

Cao, Juan, Qi, Peng, Sheng, Qiang, Yang, Tianyun, Guo, Junbo, Li, Jintao

论文摘要

社交媒体的日益普及促进了假新闻的扩散,这引起了严重的社会影响。因此,社交媒体上的假新闻发现最近已成为一个引起人们关注的新兴研究领域。随着多媒体技术的发展,假新闻尝试利用图像或视频的多媒体内容吸引和误导消费者快速传播,这使视觉内容成为虚假新闻的重要组成部分。尽管视觉内容很重要,但我们对视觉内容在假新闻检测中的作用的理解仍然有限。本章对虚假新闻中的视觉内容进行了全面评论,包括基本概念,有效的视觉特征,代表性检测方法以及多媒体假新闻检测的挑战性问题。本章可以帮助读者了解视觉内容在虚假新闻检测中的作用,并有效利用视觉内容来帮助检测多媒体假新闻。

The increasing popularity of social media promotes the proliferation of fake news, which has caused significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area of great concern. With the development of multimedia technology, fake news attempts to utilize multimedia content with images or videos to attract and mislead consumers for rapid dissemination, which makes visual content an important part of fake news. Despite the importance of visual content, our understanding of the role of visual content in fake news detection is still limited. This chapter presents a comprehensive review of the visual content in fake news, including the basic concepts, effective visual features, representative detection methods and challenging issues of multimedia fake news detection. This chapter can help readers to understand the role of visual content in fake news detection, and effectively utilize visual content to assist in detecting multimedia fake news.

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