Measuring Online Behavior Change with Observational Studies: A Review
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.
Authors
- Arianna Pera (ORCID: https://orcid.org/0009-0009-4316-3428)
- Luca Maria Aiello
- Gianmarco De Francisci Morales
Institutions
- IT University of Copenhagen (DK)
Publication Details
- Journal
- ACM Computing Surveys
- Published
- 2026-02-14
- DOI
- https://doi.org/10.1145/3797254
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00