论文标题
多模式双重情绪与视觉情感融合以供谣言检测
Multimodal Dual Emotion with Fusion of Visual Sentiment for Rumor Detection
论文作者
论文摘要
近年来，谣言对社会产生了毁灭性的影响，这使谣言发现成为重大挑战。但是，关于谣言检测的研究忽略了谣言内容中图像的强烈情绪。本文验证了图像情绪是否提高了谣言检测效率。提出了一个由视觉和文字情感组成的谣言检测中的多模式双重情感特征。据我们所知，这是第一项在谣言检测中使用视觉情感的研究。实际数据集上的实验验证了所提出的功能是否优于最先进的情感功能，并且可以在谣言探测器中扩展，同时提高其性能。
In recent years, rumors have had a devastating impact on society, making rumor detection a significant challenge. However, the studies on rumor detection ignore the intense emotions of images in the rumor content. This paper verifies that the image emotion improves the rumor detection efficiency. A Multimodal Dual Emotion feature in rumor detection, which consists of visual and textual emotions, is proposed. To the best of our knowledge, this is the first study which uses visual emotion in rumor detection. The experiments on real datasets verify that the proposed features outperform the state-of-the-art sentiment features, and can be extended in rumor detectors while improving their performance.
