Exploring online behavior change is imperative for societal progress in the context of 21st-century challenges. We analyze 148 articles (2000-2023) focusing on behavior change in the digital space and build a map that categorizes behaviors, behavior change detection methodologies, platforms of reference, and theoretical frameworks that characterize the analysis of online behavior change. Our findings reveal a focus on sentiment shifts, an emphasis on API-restricted platforms, and limited integration of theory. We call for methodologies able to capture a wider range of behavior types, diverse data sources, and stronger theory-practice alignment in the study of online behavior and its change.
翻译：在21世纪挑战的背景下，探索在线行为变化对于社会进步至关重要。我们分析了148篇（2000-2023年）关注数字空间行为变化的文献，构建了一个分类框架，涵盖行为类型、行为变化检测方法、参考平台以及表征在线行为变化分析的理论框架。研究发现，现有研究侧重于情感转变，依赖API受限平台，且理论整合有限。我们呼吁在在线行为及其变化的研究中，开发能够捕捉更广泛行为类型、利用多样化数据源并加强理论与实践结合的方法论。
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