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引用次数: 0
摘要
目的基于自我决定理论（SDT），本研究旨在确定动漫行业评论者撰写长评论的动机因素。研究分析了从一个在线动漫社区（MyAnimeList.net）收集的 171,188 条在线评论数据。动漫的总体评分调节了一些动机因素的影响。此外，评论者评论自己喜欢或不喜欢的动漫也有不同的动机因素。此外，由于样本量较大，本研究还解决了 P 值问题。研究局限/意义本研究从理论上全面理解了评论者撰写长评论的动机。实践意义在线社区可以将本研究的见解纳入网站设计，激励评论者撰写长评论。评论长度是评论有用性的最重要因素，并对其产生积极影响。然而，很少有研究探讨了评论长度的决定因素。本研究试图解决这一问题。
Motivation for writing long online reviews: a big data analysis of an anime community
Purpose
Based on self-determination theory (SDT), this study aims to determine the motivation factors of reviewers writing long reviews in the anime industry.
Design/methodology/approach
This study analyzes 171,188 online review data collected from an online anime community (MyAnimeList.net).
Findings
The findings show that intensity of emotions, experience in writing reviews and helpful votes in past reviews are the most important factors and positively influence review length. The overall rating of the anime moderates the effects of some motivation factors. Moreover, reviewers commenting on their favorite or nonfavorite anime also have varied motivation factors. Furthermore, this study has addressed the p-value problem due to the large sample size.
Research limitations/implications
This study provides a comprehensive and theoretical understanding of reviewers' motivation for writing long reviews.
Practical implications
Online communities can incorporate the insights from this study into website design and motivate reviewers to write long reviews.
Originality/value
Many past studies have investigated what reviews are more helpful. Review length is the most important factor of review helpfulness and positively affects it. However, few studies have examined the determinants of review length. This study attempts to address this issue.
期刊介绍：
This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
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