What Drives Virality (Sharing) of Online Digital Content? The Critical Role of Information, Emotion, and Brand Prominence

被引:290
作者
Tellis, Gerard J. [1 ,2 ]
MacInnis, Deborah J. [3 ,4 ]
Tirunillai, Seshadri [5 ]
Zhang, Yanwei [6 ]
机构
[1] Univ Southern Calif, Ctr Global Innovat, Marshall Sch Business, Los Angeles, CA 90089 USA
[2] Univ Southern Calif, Amer Enterprise, Marshall Sch Business, Los Angeles, CA 90089 USA
[3] Univ Southern Calif, Business Adm, Marshall Sch Business, Los Angeles, CA USA
[4] Univ Southern Calif, Mkt, Marshall Sch Business, Los Angeles, CA USA
[5] Univ Houston, CT Bauer Coll Business, Houston, TX 77004 USA
[6] Uber Technol Inc, San Francisco, CA USA
关键词
virality; shares; ad cues; emotion; brand prominence; WORD-OF-MOUTH; CONSUMERS; RESPONSES; TRANSPORTATION; ADVERTISEMENTS; MOTIVATIONS; KNOWLEDGE; IMPACT; AD;
D O I
10.1177/0022242919841034
中图分类号
F [经济];
学科分类号
02 ;
摘要
The authors test five theoretically derived hypotheses about what drives video ad sharing across multiple social media platforms. Two independent field studies test these hypotheses using 11 emotions and over 60 ad characteristics. The results are consistent with theory and robust across studies. Information-focused content has a significantly negative effect on sharing, except in risky contexts. Positive emotions of amusement, excitement, inspiration, and warmth positively affect sharing. Various drama elements such as surprise, plot, and characters, including babies, animals, and celebrities arouse emotions. Prominent (early vs. late, long vs. short duration, persistent vs. pulsing) placement of brand names hurts sharing. Emotional ads are shared more on general platforms (Facebook, Google+, Twitter) than on Linkedln, and the reverse holds for informational ads. Sharing is also greatest when ad length is moderate (1.2 to 1.7 minutes). Contrary to these findings, ads use information more than emotions, celebrities more than babies or animals, prominent brand placement, little surprise, and very short or very long ads. A third study shows that the identified drivers predict sharing accurately in an entirely independent sample.
引用
收藏
页码:1 / 20
页数:20
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