Morally Driven and Emotionally Fueled: The Interactive Effects of Values and Emotions in the Social Transmission of Information Endorsing E-cigarettes
被引:0
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作者:
Wu, Jiaxi
论文数: 0引用数: 0
h-index: 0
机构:
Boston Univ, Boston, MA 02215 USABoston Univ, Boston, MA 02215 USA
Wu, Jiaxi
[1
]
Wang, Yunwen
论文数: 0引用数: 0
h-index: 0
机构:
Univ So Calif, Los Angeles, CA 90089 USABoston Univ, Boston, MA 02215 USA
Wang, Yunwen
[2
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Xu, Yusi Aveva
论文数: 0引用数: 0
h-index: 0
机构:
Harvard Univ, Cambridge, MA USABoston Univ, Boston, MA 02215 USA
Xu, Yusi Aveva
[3
]
Fetterman, Jessica L.
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h-index: 0
机构:
Boston Univ, Boston, MA 02215 USABoston Univ, Boston, MA 02215 USA
Fetterman, Jessica L.
[1
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Hong, Traci
论文数: 0引用数: 0
h-index: 0
机构:
Boston Univ, Boston, MA 02215 USABoston Univ, Boston, MA 02215 USA
Hong, Traci
[1
]
机构:
[1] Boston Univ, Boston, MA 02215 USA
[2] Univ So Calif, Los Angeles, CA 90089 USA
[3] Harvard Univ, Cambridge, MA USA
来源:
INTERNATIONAL JOURNAL OF COMMUNICATION
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2023年
/
17卷
关键词:
vaping;
electronic cigarettes;
moral foundations;
emotion;
social media;
information transmission;
Twitter;
PRODUCT USE;
REGRESSION;
DIFFUSION;
COVERAGE;
D O I:
暂无
中图分类号:
G2 [信息与知识传播];
学科分类号:
05 ;
0503 ;
摘要:
Drawing upon the literature on moral foundations theory and the social transmission of information, our study investigated the effects of values and emotions on the sharing of pro-vaping messages on Twitter. Tweets (N = 9,542) containing top pro-vaping hashtags during the time of e-cigarette or vaping use-associated lung injury (EVALI) and the federal vape bans were analyzed. A lexicon-based machine classifier customized to vaping discourse and the NRC Word-Emotion Association Lexicon were used to produce the frequencies of moral and emotional words in the corpus. Mixed-effects hurdle negative binomial models were performed to predict the likelihood of a post receiving one and more retweets. Results showed that moral foundations, particularly Authority/subversion and Care/harm, and emotions of anger and sadness predicted the sharing of pro-vaping tweets. Interaction effects indicated that both emotions had a stronger effect on eliciting shares when a post contained lower levels of moral foundations. This study provides insights into the mechanism of how pro-vaping messages are amplified on Twitter, emphasizing the roles of moral values and emotions in enabling the process.