A Content Analysis: The Relationship between Sentiment, Gender and Time of Day in eWOM

Abstract

This content analysis looks at several trends regarding electronic Word of Mouth (eWOM) and how consumers engage in eWOM. 304 tweets were analyzed and numerous correlations regarding gender and time-of-day. This research will be beneficial to brands and companies seeking to launch new products or services using social media as a promotional avenue

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