Examining Gender Discourse Differences in Shared Reviews about Books in eWOM

摘要

Today, user generated content and online shared opinions are gaining relevance as a source of information not only for other consumers but also for retailers. However, the huge number of posted opinions makes difficult any manual analysis. This paper proposes a new approach for gender discourse analysis based on the semantic analysis of the content of shared reviews in electronic word of mouth communities (eWOM). The paper includes a methodology for gathering online reviews as well as a statistical methodology to extract the differences between male and female in a specific category of product such as Books. Findings reveal not only the discourse references but also the different preferences of male and women, which can be interesting both for retailers and online recommendation systems.