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Exploring the Role of Visual Content in Fake News Detection
arXiv - CS - Multimedia Pub Date : 2020-03-11 , DOI: arxiv-2003.05096
Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li

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.

中文翻译:

探索视觉内容在假新闻检测中的作用

社交媒体的日益普及促进了假新闻的泛滥,从而造成了显着的负面社会影响。因此,社交媒体上的假新闻检测最近成为备受关注的新兴研究领域。随着多媒体技术的发展,假新闻试图利用多媒体内容和图像或视频来吸引和误导消费者进行快速传播,这使得视觉内容成为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。本章全面回顾了假新闻中的视觉内容,包括多媒体假新闻检测的基本概念、有效的视觉特征、代表性检测方法和具有挑战性的问题。
更新日期:2020-03-16
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