悲伤
对话
计算机科学
社会化媒体
事件(粒子物理)
动作(物理)
图像(数学)
多媒体
人工智能
心理学
万维网
社会心理学
沟通
物理
愤怒
量子力学
作者
Lynnette Hui Xian Ng,Kathleen M. Carley
标识
DOI:10.1007/978-3-030-80387-2_18
摘要
A picture speaks a thousand words. Images are extremely effective at evoking emotions and presents a potentially damaging force to the health of digital discourse. While text-based emotion analysis has been studied, little work has examined the emotions images invoke on social media platforms. This work analyzes bot-based emotion behavior differences in the images surrounding the 2020 Kashmir Black Day event. Through Twitter data, we observed at least half the agents in the conversation are bots, which dominate image conversations calling for action, e.g. “Be The Voice of Kashmir”. Sadness and trust dominates the emotions in images. We further analyze a sub-dataset as a case study and discern the role of digital media in heightening online conflicts.
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