论文标题
在模因中的视觉语言隐喻中检测宣传技术
Detection of Propaganda Techniques in Visuo-Lingual Metaphor in Memes
论文作者
论文摘要
社交媒体网络的指数增长使数据的生产，分布和消耗以惊人的速度。此外，社交媒体革命为称为互联网模因的社交媒体平台带来了独特的现象。互联网模因是社交媒体上最受欢迎的内容之一，它们可以以机智，吸引人或讽刺的文字描述为图像的形式。在本文中，我们正在处理最近在互联网模因中经常看到的宣传。宣传是沟通，它经常包括心理和修辞技术，以操纵或影响听众按照宣传员的意愿行事或做出反应。为了检测Internet模因中的宣传，我们提出了一个多模式深度学习融合系统，该系统融合了文本和图像特征表示形式，并且仅基于文本或图像模式优于单个模型。
The exponential rise of social media networks has allowed the production, distribution, and consumption of data at a phenomenal rate. Moreover, the social media revolution has brought a unique phenomenon to social media platforms called Internet memes. Internet memes are one of the most popular contents used on social media, and they can be in the form of images with a witty, catchy, or satirical text description. In this paper, we are dealing with propaganda that is often seen in Internet memes in recent times. Propaganda is communication, which frequently includes psychological and rhetorical techniques to manipulate or influence an audience to act or respond as the propagandist wants. To detect propaganda in Internet memes, we propose a multimodal deep learning fusion system that fuses the text and image feature representations and outperforms individual models based solely on either text or image modalities.
