Exploring behavioral change in the digital age is imperative for societal progress in the context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map that categorizes behaviors and change detection methodologies, platforms of reference, and theoretical frameworks that characterize online behavior change. Our findings uncover a focus on sentiment shifts, an emphasis on API-restricted platforms, and limited theory integration. We call for methodologies able to capture a wider range of behavioral types, diverse data sources, and stronger theory-practice alignment in the study of online behavioral change.

翻译：在21世纪挑战背景下，探索数字时代的行为变化对于社会进步至关重要。我们分析了148篇文献（2000-2023年），绘制了一幅分类图，涵盖行为类型、变化检测方法、参考平台及表征在线行为变化的理论框架。研究发现显示，当前研究集中于情绪转变，侧重于受限API的平台，且理论整合有限。我们呼吁发展能够捕捉更广泛行为类型、利用多样化数据源的方法，并在在线行为变化研究中加强理论与实践的结合。