Exploring the Information Cues of Danmaku Comments to Stimulate Users' Affective Generation in Reaction Videos

Author:

Ye Xujie1,Zhao Yuxiang (Chris)1,Li Jinhao2,Zhang Yan3,Hansen Preben4

Affiliation:

1. Nanjing University of Science & Technology China

2. City University of Hong Kong Hong Kong

3. Nanjing University China

4. Stockholm University Sweden

Abstract

ABSTRACTReaction video, a new form of online video that records users' instant reactions to a particular thing, has emerged on social media in recent years. Its unique content composition and hedonic and emotional characteristics make the information cues that influence the affective generation in danmaku comments quite different from those in traditional videos. To explore the information cues of danmaku comments to stimulate users’ affective generation in reaction videos, we conduct thematic coding using the content analysis method by selecting the danmaku resources, video content, and reactors’ responses from 11 popular videos in different categories as samples to identify information cues that influence user affects in danmaku comments. The preliminary findings show that there are three main types of information cues in the reaction videos: the content of the original video, reactors’ reaction and danmaku comments, which could trigger danmaku users’ affect in reaction videos from the perspective of orientation type, parasocial interaction, and peer influence, respectively.

Publisher

Wiley

Subject

Library and Information Sciences,General Computer Science

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