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The Effects of Gender Signals and Performance in Online Product Reviews
[journal article]
Abstract This work quantifies the effects of signaling gender through gender specific user names, on the success of reviews written on the popular amazon.com shopping platform. Highly rated reviews play an important role in e-commerce since they are prominently displayed next to products. Differences in revi... view more
This work quantifies the effects of signaling gender through gender specific user names, on the success of reviews written on the popular amazon.com shopping platform. Highly rated reviews play an important role in e-commerce since they are prominently displayed next to products. Differences in reviews, perceived - consciously or unconsciously - with respect to gender signals, can lead to crucial biases in determining what content and perspectives are represented among top reviews. To investigate this, we extract signals of author gender from user names to select reviews where the author’s likely gender can be inferred. Using reviews authored by these gender-signaling authors, we train a deep learning classifier to quantify the gendered writing style (i.e., gendered performance) of reviews written by authors who do not send clear gender signals via their user name. We contrast the effects of gender signaling and performance on the review helpfulness ratings using matching experiments. This is aimed at understanding if an advantage is to be gained by (not) signaling one's gender when posting reviews. While we find no general trend that gendered signals or performances influence overall review success, we find strong context-specific effects. For example, reviews in product categories such as Electronics or Computers are perceived as less helpful when authors signal that they are likely woman, but are received as more helpful in categories such as Beauty or Clothing. In addition to these interesting findings, we believe this general chain of tools could be deployed across various social media platforms.... view less
Keywords
online media; electronic commerce; product; evaluation; gender role; user; name; review
Classification
Interactive, electronic Media
Impact Research, Recipient Research
Free Keywords
Big Data; classification; gender disclosure; matching; natural experiment; online product reviews
Document language
English
Publication Year
2022
Journal
Frontiers in Big Data, 4 (2022)
DOI
https://doi.org/10.3389/fdata.2021.771404
ISSN
2624-909X
Status
Published Version; peer reviewed