Bibliographic Details
| Title: |
Sequential and Temporal Dynamics of Online Opinion. |
| Authors: |
Godes, David1 dgodes@rhsmith.umd.edu, Silva, José C.2 josecamoessilva@alum.mit.edu |
| Source: |
Marketing Science. May/Jun2012, Vol. 31 Issue 3, p448-473. 26p. |
| Subject Terms: |
*ONLINE comments, *USER-generated content, *CONSUMERS' reviews, *WORD of mouth advertising, *INTERNET marketing, SEQUENTIAL decoding, BOOKS -- Reviews |
| Abstract: |
We investigate the evolution of online ratings over time and sequence. We first establish that there exist two distinct dynamic processes, one as a function of the amount of time a book has been available for review and another as a function of the sequence of reviews themselves. We find that, once we control for calendar date, the residual average temporal pattern is increasing. This is counter to existing findings that suggest that without this calendar-date control, the pattern is decreasing. With respect to sequential dynamics, we find that ratings decrease: the nth rating is, on average, lower than the n-1th when controlling for time, reviewer effects, and book effects. We test and find some support for existing theories for this decline based on motivation. We then offer two additional explanations for this ''order effect." We find support for the idea that one's ability to assess the diagnosticity of previous reviews decreases: when previous reviewers are very different, more reviews may thus lead to more purchase errors and lower ratings. [ABSTRACT FROM AUTHOR] |
|
Copyright of Marketing Science is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Business Source Index |