Stability of a Type of Cross-Cultural Emotion Modeling in Social Media

摘要

Humankind has thousands of years of experience in assessing the emotional context of face-to-face interaction. Written communication has been refined over centuries, and imme-diate voice communication over decades. However, online communication, which tends to be asynchronous and largely empty of conventional social cues, is still emerging as a cultural and cognitive venue. In this paper we present the earliest results of applying our field-theory of "emotional context" to the problem of the cross-cultural online emotion modeling: Can a field-theoretic model developed using data from one culture be applied to online interaction in another? We also present the results of a small empirical study focusing on the methods we used to visualize and model the "emotional context" of a social media corpus.