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.
@article{arxiv.2310.19951,
title = {Measuring Online Behavior Change with Observational Studies: a Review},
author = {Arianna Pera and Gianmarco de Francisci Morales and Luca Maria Aiello},
journal= {arXiv preprint arXiv:2310.19951},
year = {2025}
}