{"title":"How emotions influence word-of-mouth: a temporal analysis of online movie reviews","authors":"Rahat Ullah,Atya Zeb,Muhammad Tufail","doi":"10.1108/jeim-11-2025-1109","DOIUrl":null,"url":null,"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.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"30 1","pages":"1-23"},"PeriodicalIF":9.1000,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Enterprise Information Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jeim-11-2025-1109","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge.
Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences.
JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.