Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Social media addiction (and other internet addictions) is associated with a decline in the ability to reason accurately, think clearly, and engage in activities that require concentrated thought.
“Researchers have found an association between social media addiction (and other internet addictions) and a decline in the ability to reason accurately, think clearly, and engage in activities that require concentrated thought (Judd, 2014; Junco, 2012; Karpinski, Kirschner, Ozer, Mellott, & Ochwo, 2013; Kirschner & Karpinski, 2010).”
From Ethics of the Attention Economy: The Problem of Social Media Addiction (2021) · cites this paper as Junco, 2012
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References 49 · Cited by 843
- Authors
- Junco, R.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 28
- Issue
- 1
- Pages
- 187-198
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2129479611
- Cited by
- 843
- References
- 49
- Citations by year
- 2026: 24 · 2025: 38 · 2024: 36 · 2023: 40 · 2022: 42 · 2021: 55 · 2020: 72 · 2019: 87 · 2018: 73 · 2017: 73 · 2016: 74 · 2015: 91 · 2014: 57 · 2013: 53 · 2012: 27
- FWCI
- 147.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Demography › Cyberloafing and Workplace Behavior
- Social Sciences › Education › Educational Outcomes and Influences
- Keywords
- Facebook use, academic performance, grade point average, university students, social media, class preparation, socializing, information sharing
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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