Roles of negative emotions in customers’ perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach

By Minwoo Lee, Miyoung Jeong, Jongseo Lee. 2017

213 citations recorded by the source corpus.

Subfields: Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/08089af4c666be49c52fbb426280b665d0d4265b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Violetta Wilk
2. Claire Lambert
3. Stephanie Meek

Citations in the corpus

• A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews (2021, background): “To illustrate, several studies indicate consumers perceive reviews with low star ratings (negative) to be more helpful than high star ratings (positive) (Eslami et al., 2018; Lee et al., 2017).”