6.7 Articles

  • Empirical evidence

  • Interesting stat:

    • “Articles by business academics, psychologists, and economists, for example, are more likely to be shared than articles by physicists, geneticists, and biochemists” (Milkman and Berger 2014)

    • “Specifically, men see the same scientific summaries as more comprehensible (P < 0.001), interesting (P < 0.001), and useful” hence they share more than women (Milkman and Berger 2014)

    • “though intentionally outrageous videos command attention (Tellis 2004), an ad design of this type ultimately detracts from the ad’s persuasiveness” (Tellis, 2004)

    • (Godes and Mayzlin 2009) the impact of dispersion declines over time; hence should measure WOM early in a product’s life. Main finding: higher WOM dispersion leads to higher future ratings. WOM is both precursors and consequences of consumer behavior.

    • Promotional giveaways increase WOM (Berger and Schwartz 2011)

Berger and Milkman (2012)

  • Positive emotional valence content is more likely to be shared

  • Activation = physiological arousal induces action.

  1. Examine 7000 articles from thew New York Times

    1. Examine emotionality, prominent features, interest evoked can affect likelihood to make the most email list. (controlling for practically content usefulness, interestingness, surprise, release timing and author fame (using hits for first author’s full name from the number of Google hits), writing complexity, author gender, article length and day dummies).

    2. Robustness: control for article’s general topic.

  2. Lab experiments

    1. Amusement case (fictitious): high arousal

    2. Anger case (real): high arousal

    3. Sadness (real vs. fictitious): low arousal

All hypotheses are confirmed

Potential confounders: structural virality

How likely they would share a story? (no social risk involved - risk to other weak ties, hence the effect might be inflated, the same thing with the New York Times study )

All experiments have low participant numbers

Tellis et al. (2019)

Two field studies

Information-focused content is less likely to be shared (exception risky contexts)

Positive emotions (e.g., amusement, excitement, inspiration, warmth) are more likely to be shared

Drama elements (e.g., surprise, plot, characters, babies, animals, celebrities) increase arousal, which in turn increases sharing.

Prominent placement of brand name (brand prominence)

Emotional ads are shared more on general platforms (Facebook, Twitter) as compared to professional one (e.g., LinkedIn), while informational ads are more likely to be shared on professional ones.

Optimal length is 1.2 to 1.7 min ads.

Third study: identifies predictors of sharing

(Trusov, Bodapati, and Bucklin 2010)

  • How to determine Influential users in online social networks

References

Berger, Jonah, and Katherine L. Milkman. 2012. “What Makes Online Content Viral?” Journal of Marketing Research 49 (2): 192–205. https://doi.org/10.1509/jmr.10.0353.
Berger, Jonah, and Eric M. Schwartz. 2011. “What Drives Immediate and Ongoing Word of Mouth?” Journal of Marketing Research 48 (5): 869–80. https://doi.org/10.1509/jmkr.48.5.869.
Du, Rex Yuxing, and Wagner A. Kamakura. 2011. “Measuring Contagion in the Diffusion of Consumer Packaged Goods.” Journal of Marketing Research 48 (1): 28–47. https://doi.org/10.1509/jmkr.48.1.28.
Feldman Barrett, Lisa, and James A. Russell. 1998. “Independence and Bipolarity in the Structure of Current Affect.” Journal of Personality and Social Psychology 74 (4): 967–84. https://doi.org/10.1037/0022-3514.74.4.967.
Godes, David, and Dina Mayzlin. 2009. “Firm-Created Word-of-Mouth Communication: Evidence from a Field Test.” Marketing Science 28 (4): 721–39. https://doi.org/10.1287/mksc.1080.0444.
Heilman, Kenneth. 1997. “The Neurobiology of Emotional Experience.” The Journal of Neuropsychiatry and Clinical Neurosciences 9 (3): 439–48. https://doi.org/10.1176/jnp.9.3.439.
Milkman, K. L., and J. Berger. 2014. “The Science of Sharing and the Sharing of Science.” Proceedings of the National Academy of Sciences 111 (Supplement_4): 13642–49. https://doi.org/10.1073/pnas.1317511111.
Tellis, Gerard J., Deborah J. MacInnis, Seshadri Tirunillai, and Yanwei Zhang. 2019. “What Drives Virality (Sharing) of Online Digital Content? The Critical Role of Information, Emotion, and Brand Prominence.” Journal of Marketing 83 (4): 1–20. https://doi.org/10.1177/0022242919841034.
Trusov, Michael, Anand V. Bodapati, and Randolph E. Bucklin. 2010. “Determining Influential Users in Internet Social Networks.” Journal of Marketing Research 47 (4): 643–58. https://doi.org/10.1509/jmkr.47.4.643.