What Makes Online Content Viral?
Top Cited Papers
- 1 April 2012
- journal article
- Published by SAGE Publications in Journal of Marketing Research
- Vol. 49 (2), 192-205
- https://doi.org/10.1509/jmr.10.0353
Abstract
Why are certain pieces of online content (e.g., advertisements, videos, news articles) more viral than others? This article takes a psychological approach to understanding diffusion. Using a unique data set of all the New York Times articles published over a three-month period, the authors examine how emotion shapes virality. The results indicate that positive content is more viral than negative content, but the relationship between emotion and social transmission is more complex than valence alone. Virality is partially driven by physiological arousal. Content that evokes high-arousal positive (awe) or negative (anger or anxiety) emotions is more viral. Content that evokes low-arousal, or deactivating, emotions (e.g., sadness) is less viral. These results hold even when the authors control for how surprising, interesting, or practically useful content is (all of which are positively linked to virality), as well as external drivers of attention (e.g., how prominently content was featured). Experimental results further demonstrate the causal impact of specific emotion on transmission and illustrate that it is driven by the level of activation induced. Taken together, these findings shed light on why people share content and how to design more effective viral marketing campaigns.Keywords
This publication has 37 references indexed in Scilit:
- Arousal Increases Social Transmission of InformationPsychological Science, 2011
- Can Nervous Nelly negotiate? How anxiety causes negotiators to make low first offers, exit early, and earn less profitOrganizational Behavior and Human Decision Processes, 2011
- Benign ViolationsPsychological Science, 2010
- Word-of-Mouth as Self-EnhancementSSRN Electronic Journal, 2008
- Where Consumers Diverge from Others: Identity Signaling and Product DomainsJournal of Consumer Research, 2007
- A Statistical Analysis of Editorial Influence and Author Character Similarities in 1990s New Yorker FictionLiterary and Linguistic Computing, 2007
- Automatically Categorizing Written Texts by Author GenderLiterary and Linguistic Computing, 2002
- Beyond the emotional event: Six studies on the social sharing of emotionCognition and Emotion, 1991
- Recall and Consumer Consideration Sets: Influencing Choice without Altering Brand EvaluationsJournal of Consumer Research, 1990
- Social Behavior as ExchangeAmerican Journal of Sociology, 1958