TY - GEN
T1 - How social media predicts news viewership - The moderating role of news theme prominence
AU - Ren, Jie
AU - Sabnis, Gaurav
AU - Dong, Hang
AU - Nickerson, Jeffrey V.
N1 - Publisher Copyright:
© 2020 26th Americas Conference on Information Systems, AMCIS 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper explores the predictive power of social media with respect to news viewership in a business context. Using 0.7 million pieces of stock market news and 37.3 million stocks-related microblogs in 2013, we find that this power of social media is stronger for low prominence news themes (e.g., news about Blue Apron) than for high-prominence news themes (e.g., news about Microsoft). Specifically, the intensity of social media sentiment (either positive or negative) and social media volume are positively associated with news viewership; social media credibility is negatively associated with news viewership. More importantly, the impacts of social media sentiment, positive sentiment social media volume and social media credibility are all stronger for low-prominence news themes. Our findings quantify the power of the crowd in shaping news narratives. Especially, our findings describe how the opinions of the crowd can build up the popularity of non-elite news themes.
AB - This paper explores the predictive power of social media with respect to news viewership in a business context. Using 0.7 million pieces of stock market news and 37.3 million stocks-related microblogs in 2013, we find that this power of social media is stronger for low prominence news themes (e.g., news about Blue Apron) than for high-prominence news themes (e.g., news about Microsoft). Specifically, the intensity of social media sentiment (either positive or negative) and social media volume are positively associated with news viewership; social media credibility is negatively associated with news viewership. More importantly, the impacts of social media sentiment, positive sentiment social media volume and social media credibility are all stronger for low-prominence news themes. Our findings quantify the power of the crowd in shaping news narratives. Especially, our findings describe how the opinions of the crowd can build up the popularity of non-elite news themes.
KW - Mass media
KW - News theme prominence
KW - News viewership
KW - Social media
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M3 - Conference contribution
AN - SCOPUS:85097721635
T3 - 26th Americas Conference on Information Systems, AMCIS 2020
BT - 26th Americas Conference on Information Systems, AMCIS 2020
T2 - 26th Americas Conference on Information Systems, AMCIS 2020
Y2 - 10 August 2020 through 14 August 2020
ER -