Abstract
This #research targeted to investigate the role of emotion in #Chinese Social Transmission through an empirical study. Using a unique data set
of the Southern Weekly (one of the most famous political media in
China) articles published over an 87-days period, we tried to explore
the influence of specific emotional attributes on viral forwarding of
online content. The results indicate that, although positive emotions
generally promote communication, the relationship between emotion and
social transmission is more complex than valence alone. Among the 28
emotions common to all Chinese, only 2 emotions (including positive
admiration and negative hate/dislike) significantly inhibited
transmission. Using special model like the #zero-inflated negative binomial (ZINB) regression, the specific emotion (i.e., hate/dislike)
can help to distinguish different generating processes for zero-repost
articles which are difficult to inform. Taking together, these findings
shed light on emotions can predict the #virus transmission
characteristics of online content under the information control
environment.
For more articles on BJSTR Journal please click on https://biomedres.us/
For more Biomedical Imaging Articles on BJSTR
The Viral Impact of Emotion on Social Transmission Under Control Context by Guiping Zhang in BJSTR
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