The accuracy of survey measures on political activity on Facebook. Evidence from a data donation study

Self-reported survey measures of social media use are commonly used across disciplines, yet the validity of findings in this area depends heavily on the accuracy of these reports. In political communication research, measurement error in reported online political behavior can distort estimates of media effects and lead to misleading conclusions about online political engagement. To address this concern, our study leveraged donated digital trace data from 758 Hungarian Facebook users and compared it with responses to standard survey questions provided by the same individuals. In addition, in a pre-registered experiment, we varied the ordering of the survey items. Our findings reveal moderate correlations between self-reported and actual digital behavior. General items showed closer alignment with observed behavior than self-reports of specific political activities. Participants typically underestimated their general Facebook activities and overestimated their political engagement on Facebook. Importantly, some of this discrepancy may stem not from respondents’ inaccuracy but from difficulties in classifying digital actions as politically relevant. Survey measures were more reliable in the general-specific questionnaire design and among individuals with high political interest. We discuss potential avenues for improving survey-based measures and emphasize the need for further research to address the methodological challenges associated with the use of digital trace data.

Authors

Institutions

Publication Details

Journal
Information Communication & Society
Published
2026-08-25
DOI
https://doi.org/10.1080/1369118x.2026.2713664
Primary Topic
Social Media and Politics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The accuracy of survey measures on political activity on Facebook. Evidence from a data donation study

Zoltán Kmetty, Ádám Stefkovics
Information Communication & Society
Social Media and Politics
article

The accuracy of survey measures on political activity on Facebook. Evidence from a data donation study

Zoltán Kmetty, Ádám Stefkovics
article en

Abstract

Self-reported survey measures of social media use are commonly used across disciplines, yet the validity of findings in this area depends heavily on the accuracy of these reports. In political communication research, measurement error in reported online political behavior can distort estimates of media effects and lead to misleading conclusions about online political engagement. To address this concern, our study leveraged donated digital trace data from 758 Hungarian Facebook users and compared it with responses to standard survey questions provided by the same individuals. In addition, in a pre-registered experiment, we varied the ordering of the survey items. Our findings reveal moderate correlations between self-reported and actual digital behavior. General items showed closer alignment with observed behavior than self-reports of specific political activities. Participants typically underestimated their general Facebook activities and overestimated their political engagement on Facebook. Importantly, some of this discrepancy may stem not from respondents’ inaccuracy but from difficulties in classifying digital actions as politically relevant. Survey measures were more reliable in the general-specific questionnaire design and among individuals with high political interest. We discuss potential avenues for improving survey-based measures and emphasize the need for further research to address the methodological challenges associated with the use of digital trace data.

Information Communication & Society
Institute of Sociology (CN), Századvég Foundation (HU), Renewable Energy Corporation (Norway) (NO)
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Openalex Percentile: Top 100%
Social Media and Politics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.