Cited by 133Digital Marketing and Social MediaMedia and Digital CommunicationComplex Network Analysis Techniques

Emotion and Virality: What Makes Online Content Go Viral?

Open access
Berger, Jonah, Milkman, Katherine L.·2013·GfK Marketing Intelligence Review

Abstract

"Companies are relying more and more on online communication to reach consumers. While some viral campaigns are tremendously successful, others remain far below expectations. But why are certain pieces of online content more viral than others? An analysis conducted on the New York Times’ most-emailed list, along with further experimental evidence, showed that positive content is more viral than negative content. However, the relationship between emotion and social transmission is more complex than valence alone. Virality is driven, in part, by activation and arousal. Content that evokes either high-arousal positive emotions (awe) or negative emotions (anger or anxiety) tends to be more viral. Content that evokes low arousal or deactivating emotions (e.g., sadness) tends to be less viral. These results were also true when examining 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 is featured). Taking the effect of emotions into account helps to design effective viral marketing campaigns. "

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References 3 · Cited by 133

Authors
Berger, J., & Milkman, K. L.
Venue
GfK Marketing Intelligence Review
Published
2013-05-01
Volume
5
Issue
1
Pages
18-23
ISSN
1865-5866 (ISSN-L)
OpenAlex
W1589108214
Cited by
133
References
3
Citations by year
2026: 7 · 2025: 15 · 2024: 16 · 2023: 12 · 2022: 17 · 2021: 16 · 2020: 31 · 2019: 3 · 2018: 5 · 2017: 6 · 2016: 3 · 2015: 2
FWCI
5.16
Type
journal article
Language
en
Open access
Locations
GfK Marketing Intelligence Review (publishedVersion, cc-by-nc)
Topics
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
emotions, arousal, awe, anger, anxiety, sadness, social transmission, viral marketing, surprise, attention

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