Paper Info
Title
Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective.
Abstract
This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews. In contrast to previous works, our analysis thereby sheds light on the reception of reviews from a language-based perspective. For this purpose, we propose an intriguing text analysis approach based on distributed text representations and multi-instance learning to operationalize the two-sidedness of argumentation in review texts. A subsequent empirical analysis using a large corpus of Amazon reviews suggests that two-sided argumentation in reviews significantly increases their helpfulness. We find this effect to be stronger for positive reviews than for negative reviews, whereas a higher degree of emotional language weakens the effect. Our findings have immediate implications for retailer platforms, which can utilize our results to optimize their customer feedback system and to present more useful product reviews.
Year
Venue
DocType
2018
ICIS
Conference
Volume
Citations 
PageRank 
abs/1810.10942
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Bernhard Lutz121.38
Nicolas Prollochs2277.01
Dirk Neumann329437.29