Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter

Posted: 16 Aug 2018

See all articles by Vicki Wei Tang

Vicki Wei Tang

Georgetown University - Robert Emmett McDonough School of Business

Multiple version iconThere are 2 versions of this paper

Date Written: June 1, 2018

Abstract

This paper examines whether third‐party‐generated product information on Twitter, once aggregated at the firm level, is predictive of firm‐level sales, and if so, what factors determine the cross‐sectional variation in the predictive power. First, the predictive power of Twitter comments increases with the extent to which they fairly represent the broad customer response to products and brands. The predictive power is greater for firms whose major customers are consumers rather than businesses. Second, the word‐of‐mouth effect of Twitter comments is greater when advertising is limited. Third, a detailed analysis of the identity of the tweet handles provides the additional insights that the predictive power of the volume of Twitter comments is dominated by “the wisdom of crowds,” whereas the predictive power of the valence of Twitter comments is largely attributable to expert comments. Furthermore, Twitter comments not only reflect upcoming sales, but also capture an unexpected component of sales growth.

Keywords: Wisdom of Crowds, Social Media, Product Information, Word of Mouth, Twitter, Fundamental Analysis

JEL Classification: D83, G14, M41, O33

Suggested Citation

Tang, Vicki Wei, Wisdom of Crowds: Cross‐Sectional Variation in the Informativeness of Third‐Party‐Generated Product Information on Twitter (June 1, 2018). Journal of Accounting Research, Vol. 56, No. 3, 2018, Available at SSRN: https://ssrn.com/abstract=3224540

Vicki Wei Tang (Contact Author)

Georgetown University - Robert Emmett McDonough School of Business ( email )

3700 O Street, NW
Washington, DC 20057
United States

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