How emotions influence word-of-mouth: a temporal analysis of online movie reviews

Purpose Word-of-mouth (WOM) is a critical source of information for experience goods such as movies, with emotional content serving as a key driver of WOM sharing. However, existing WOM research has primarily focused on aggregate metrics such as volume and valence, overlooking the complex and dynamic role of emotions in WOM communication. To address this limitation, we investigate the temporal dynamics of emotional content in online movie reviews from pre-release to post-release period, aiming to uncover when and how emotional dynamics influence consumer responses. Design/methodology/approach We analyzed 26,055 movie reviews from the Internet Movie Database (IMDb) for 77 movies released in 2024 over six weeks. Using natural language processing, we integrated lexicon-based sentiment analysis (SentiWordNet) with chi-square feature selection to extract and quantify specific emotional content over time. Findings Emotional content in WOM peaks during a movie's release week, indicating heightened emotional expressions. Early reviews demonstrate a positive bias, possibly influenced by the self-selection of loyal fans. As WOM accumulates, emotional asymmetry decreases, characterized by a decline in overall and positive emotional content and an increase in negative emotional content, consistent with informational sufficiency over time. Originality/value This study contributes to the WOM literature by introducing a dynamic two-stage framework of WOM communication. The findings show that emotional content changes over time from an early emotion-driven stage to a later stage characterized by more balanced, information-driven evaluations. The study provides new theoretical insights into how the informational role of emotional content evolves over the product lifecycle, moving beyond static aggregate measures of WOM. The results provide movie studios and platform managers with a temporal framework for leveraging real-time emotional analytics during the critical release week and throughout the movie's lifecycle to better manage consumer perceptions and marketing strategies.

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Publication Details

Journal
Journal of Enterprise Information Management
Published
2026-10-08
DOI
https://doi.org/10.1108/jeim-11-2025-1109
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
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article

How emotions influence word-of-mouth: a temporal analysis of online movie reviews

Muhammad Tufail, Atya Zeb, Rahat Ullah
Journal of Enterprise Information Management
Digital Marketing and Social Media
article

How emotions influence word-of-mouth: a temporal analysis of online movie reviews

Muhammad Tufail, Atya Zeb, Rahat Ullah
article en

Abstract

Purpose Word-of-mouth (WOM) is a critical source of information for experience goods such as movies, with emotional content serving as a key driver of WOM sharing. However, existing WOM research has primarily focused on aggregate metrics such as volume and valence, overlooking the complex and dynamic role of emotions in WOM communication. To address this limitation, we investigate the temporal dynamics of emotional content in online movie reviews from pre-release to post-release period, aiming to uncover when and how emotional dynamics influence consumer responses. Design/methodology/approach We analyzed 26,055 movie reviews from the Internet Movie Database (IMDb) for 77 movies released in 2024 over six weeks. Using natural language processing, we integrated lexicon-based sentiment analysis (SentiWordNet) with chi-square feature selection to extract and quantify specific emotional content over time. Findings Emotional content in WOM peaks during a movie's release week, indicating heightened emotional expressions. Early reviews demonstrate a positive bias, possibly influenced by the self-selection of loyal fans. As WOM accumulates, emotional asymmetry decreases, characterized by a decline in overall and positive emotional content and an increase in negative emotional content, consistent with informational sufficiency over time. Originality/value This study contributes to the WOM literature by introducing a dynamic two-stage framework of WOM communication. The findings show that emotional content changes over time from an early emotion-driven stage to a later stage characterized by more balanced, information-driven evaluations. The study provides new theoretical insights into how the informational role of emotional content evolves over the product lifecycle, moving beyond static aggregate measures of WOM. The results provide movie studios and platform managers with a temporal framework for leveraging real-time emotional analytics during the critical release week and throughout the movie's lifecycle to better manage consumer perceptions and marketing strategies.

Journal of Enterprise Information Management
Hong Kong Polytechnic University (HK), The University of Adelaide (AU)
Openalex Percentile: Top 5%
Digital Marketing and Social Media
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