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

IF 9.1 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Rahat Ullah,Atya Zeb,Muhammad Tufail
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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.
情绪如何影响口碑:在线电影评论的时间分析
口碑(Word-of-mouth, WOM)是电影等体验类商品的重要信息来源,情感内容是口碑分享的关键驱动力。然而,现有的口碑研究主要集中在数量和价等综合指标上,忽视了情绪在口碑传播中的复杂和动态作用。为了解决这一限制,我们研究了在线电影评论中情感内容从上映前到上映后的时间动态,旨在揭示情感动态何时以及如何影响消费者的反应。我们在六周的时间里分析了来自互联网电影数据库(IMDb)的26,055条电影评论,其中包括2024年上映的77部电影。使用自然语言处理,我们将基于词典的情感分析(SentiWordNet)与卡方特征选择相结合,以提取和量化特定的情感内容。在电影上映周,微博的情绪含量达到峰值,表明情绪表达的增强。早期的评论显示出积极的偏见,可能是受到忠实粉丝自我选择的影响。随着口碑的积累,情绪不对称减少,其特征是整体积极情绪含量下降,消极情绪含量增加,与信息充分性一致。本研究通过引入一个动态的两阶段口碑传播框架,为口碑传播文献做出了贡献。研究结果表明,情绪内容会随着时间的推移而变化,从早期的情绪驱动阶段到后来的阶段,其特征是更平衡、信息驱动的评估。该研究为情感内容的信息作用如何在产品生命周期中演变提供了新的理论见解,超越了口碑的静态汇总度量。研究结果为电影制片厂和平台管理者提供了一个临时框架,用于在关键的上映周和整个电影生命周期中利用实时情绪分析,以更好地管理消费者的看法和营销策略。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
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.
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