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.

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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
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article

Measuring Online Behavior Change with Observational Studies: A Review

Arianna Pera, Luca Maria Aiello, Gianmarco De Francisci Morales
ACM Computing Surveys
Misinformation and Its Impacts
article

Measuring Online Behavior Change with Observational Studies: A Review

Arianna Pera, Luca Maria Aiello, Gianmarco De Francisci Morales
article en

Abstract

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.

ACM Computing Surveys
IT University of Copenhagen (DK)
Openalex Percentile: Top 60%
Misinformation and Its Impacts
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