You Write What You Are – Exploring the Relationship between Online Reviewers’ Personality Traits and Their Reviewing Behavior

Bibtex

Cite as text

						@Select Types{,
							 
							 
							 
							 
							 
							Journal   = "Band-1",
							 Title= "You Write What You Are – Exploring the Relationship between Online Reviewers’ Personality Traits and Their Reviewing Behavior", 
							Author= "Martin Poniatowski and Jürgen Neumann", 
							Doi= "https://doi.org/10.30844/wi_2020_o6-poniatowski", 
							 Abstract= "Online review system designers implement different design features to nudge their systems’ users towards behaving in a certain way, e.g., by providing review templates to influence the content of reviews. Most of these measures apply to all users equally and do not take the individual reviewers’ personality into account. Based on identified gaps within research on online reviews [1], as a first step to close one of these gaps, we present an exploratory study that reveals the relationship between personality traits and reviewing behavior. We analyze a comprehensive dataset of restaurant reviews from Yelp and determine the Big Five personality traits of each reviewer using IBM Watson. Amongst others, our results suggest that reviewers, who are rather extroverted, are less likely to write long reviews. These insights emphasize that design features should be developed with the reviewers’ personality in mind and thus bear potential for future research.

", 
							 Keywords= "Online Review, Online Rating, Big Five, User Personality, Personality Traits
", 
							}
					
Martin Poniatowski and Jürgen Neumann: You Write What You Are – Exploring the Relationship between Online Reviewers’ Personality Traits and Their Reviewing Behavior. Online: https://doi.org/10.30844/wi_2020_o6-poniatowski (Abgerufen 25.12.24)

Abstract

Abstract

Online review system designers implement different design features to nudge their systems’ users towards behaving in a certain way, e.g., by providing review templates to influence the content of reviews. Most of these measures apply to all users equally and do not take the individual reviewers’ personality into account. Based on identified gaps within research on online reviews [1], as a first step to close one of these gaps, we present an exploratory study that reveals the relationship between personality traits and reviewing behavior. We analyze a comprehensive dataset of restaurant reviews from Yelp and determine the Big Five personality traits of each reviewer using IBM Watson. Amongst others, our results suggest that reviewers, who are rather extroverted, are less likely to write long reviews. These insights emphasize that design features should be developed with the reviewers’ personality in mind and thus bear potential for future research.

Keywords

Schlüsselwörter

Online Review, Online Rating, Big Five, User Personality, Personality Traits

References

Referenzen

1. Gutt, D., Neumann, J., Zimmermann, S., Kundisch, D., Chen, J.: Design of Review Systems – A Strategic Instrument to Shape Online Reviewing Behavior and Economic Outcomes. The Journal of Strategic Information Systems 28, 104– 117 (2019)
2. Dellarocas, C.: The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms. Management Science 49, 1407–1424 (2003)
3. Wu, C., Che, H., Chan, T.Y., Lu, X.: The Economic Value of Online Reviews. Marketing Science 34, 739–754 (2015)
4. Burtch, G., Hong, Y., Bapna, R., Griskevicius, V.: Stimulating Online Reviews by Combining Financial Incentives and Social Norms. Management Science 64, 2065–2082 (2018)
5. Weinmann, M., Schneider, C., Vom Brocke, J.: Digital Nudging. Business & Information Systems Engineering 58, 433–436 (2016)
6. Goldberg, L.R.: An alternative “description of personality”: The Big-Five factor structure. Journal of Personality and Social Psychology 59, 1216–1229 (1990)
7. Goldberg, L.R.: The development of markers for the Big-Five factor structure. Psychological assessment 4, 26 (1992)
8. Amichai-Hamburger, Y., Vinitzky, G.: Social Network Use and Personality. Computers in Human Behavior 26, 1289–1295 (2010)
9. Adamopoulos, P., Todri, V.: Personality-Based Recommendations: Evidence from Amazon. com. In: RecSys Posters (2015)
10. Adamopoulos, P., Ghose, A., Todri, V.: The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Information Systems Research 29, 612–640 (2018)
11. Hu, Y., Kim, H.J.: Positive and negative eWOM motivations and hotel customers’ eWOM behavior: Does personality matter? International Journal of Hospitality Management 75, 27–37 (2018)
12. Thies, F., Wessel, M., Rudolph, J., Benlian, A.: Personality matters: How signaling personality traits can influence the adoption and diffusion of crowdfunding campaigns. In: Proceedings of the 24th European Conference on Information Systems (2016)
13. Plank, B., Hovy, D.: Personality traits on twitter—or—how to get 1,500 personality tests in a week. In: Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp. 92–98 (2015)
14. Schwartz, H.A., Eichstaedt, J.C., Kern, M.L., Dziurzynski, L., Ramones, S.M., Agrawal, M., Shah, A., Kosinski, M., Stillwell, D., Seligman, M.E.P., et al.: Personality, gender, and age in the language of social media: the open-vocabulary approach. PloS one 8, e73791 (2013)
15. Golbeck, J., Robles, C., Edmondson, M., Turner, K.: Predicting Personality from Twitter. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, pp. 149–156 (2011)

Most viewed articles

Meist angesehene Beiträge

GITO events | library.gito