Cited by 179Survey Methodology and NonresponseImpact of Technology on AdolescentsMedia and Digital Communication

How Well Do People Report Time Spent on Facebook?: An Evaluation of Established Survey Questions with Recommendations

Ernala, Sindhu Kiranmai, Burke, Moira, Leavitt, Alex, Ellison, Nicole B.·2020·Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract

Many studies examining social media use rely on self-report survey questions about how much time participants spend on social media platforms. Because they are challenging to answer accurately and susceptible to various biases, these self-reported measures are known to contain error -- although the specific contours of this error are not well understood. This paper compares data from ten self-reported Facebook use survey measures deployed in 15 countries (N = 49,934) against data from Facebook's server logs to describe factors associated with error in commonly used survey items from the literature. Self-reports were moderately correlated with actual Facebook use (r = 0.42 for the best-performing question), though participants significantly overestimated how much time they spent on Facebook and underestimated the number of times they visited. People who spent a lot of time on the platform were more likely to misreport their time, as were teens and younger adults, which is notable because of the high reliance on college-aged samples in many fields. We conclude with recommendations on the most accurate ways to collect time-spent data via surveys.

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Crossref · 10.1145/3313831.3376435

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  • In Ernala et al.'s study, participants were most accurate (34%) when reporting number of times per day they visited Facebook, but very inaccurate when estimating time spent per day on Facebook.

    “participants were most accurate (albeit only at a rate of 34%) when reporting on number of times per day they visited Facebook, but very inaccurate when gauging how many “time”, “minutes” or “hours” they had spent on average per day on Facebook”
  • Self-report measures can be particularly ill-fitting for gaining accurate data on people's technology-related use.

    “evidence suggests that these can be particularly ill-fitting for the purposes of gaining accurate data on people’s technology-related use [27,37,38]”
  • For Facebook, compared to log data, people tend to overreport time spent but underreport number of visits per day.

    “for social networking sites such as Facebook, compared to actual use garnered from log data, people tend to overreport how much time they spend on Facebook but underreport how many times they visit per day [27]”

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References 76 · Cited by 179

Authors
Ernala, S. K., Burke, M., Leavitt, A., & Ellison, N. B.
Affiliations
  • Georgia Institute of Technology (US)
  • Meta (United States) (US)
  • University of Michigan (US)
Venue
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2020-04-21
Pages
1-14
OpenAlex
W3031055882
Cited by
179
References
76
Citations by year
2026: 7 · 2025: 63 · 2024: 20 · 2023: 20 · 2022: 21 · 2021: 28 · 2020: 19
FWCI
46.61
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
Keywords
Facebook use, measurement error, survey accuracy, questionnaire development

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