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Self-Reported Versus Digitally Recorded: Measuring Political Activity on Facebook

[journal article]

Haenschen, Katherine

Abstract

Facebook has been credited with expanding political activity by simultaneously lowering barriers to participation and creating new ways to engage. However, many of these findings rely on subjects’ abilities to accurately report their Facebook use and political activity on the platform. This study co... view more

Facebook has been credited with expanding political activity by simultaneously lowering barriers to participation and creating new ways to engage. However, many of these findings rely on subjects’ abilities to accurately report their Facebook use and political activity on the platform. This study combines survey responses and digital trace data from 828 American adults to determine whether subjects over- or underreport a range of political activities on Facebook, including whether they like political pages or share news links. The results show that individuals underestimate their frequency of status posting and overestimate their frequency of sharing news links on Facebook. Political interest is associated with a decrease in underreporting several political activities, while increasing the likelihood of overreporting the frequency of sharing news links. Furthermore, political interest serves a moderating effect, improving self-reports for high-volume users. The findings suggest that political interest not only predicts political activity but also shapes awareness of that activity and improves self-reports among heavy users.... view less

Keywords
facebook; social media; political interest; political participation; measurement; data capture

Classification
Interactive, electronic Media
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
digital trace data

Document language
English

Publication Year
2020

Page/Pages
p. 567-583

Journal
Social Science Computer Review, 38 (2020) 5

Issue topic
Integrating Survey Data and Digital Trace Data

DOI
https://doi.org/10.1177/0894439318813586

ISSN
1552-8286

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.