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A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage
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“For instance, studies looking at similarities and differences among social platforms found differences with respect to user personalities (Hughes et al., 2012), news spreading (Lerman and Ghosh, 2010), or content sharing (Ottoni et al., 2014).”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Hughes et al., 2012
In the citing paper
“Furthermore, people high in openness to experience have been observed to frequently find and share information (Hughes, Rowe, Batey, & Lee, 2012), but negative (e.g., Andreassen et al., 2013; Błachnio et al., 2017) or non-significant (e.g., Bodroža & Jovanović, 2016; Tang et al., 2016) associations have been found between this trait and PFU.”
From A comprehensive meta-analysis on Problematic Facebook Use (2018) · cites this paper as Hughes, Rowe, Batey, & Lee, 2012
In the citing paper
“In addition to the factors in the TPB, previous studies have shown that personality traits may be associated with SNSs excessive use and addiction (Amichai-hamburger & Vinitzky, 2010;Hughes, Rowe, Batey, & Lee, 2012;Jenkins-Guarnieri, Wright, & Hudiburgh, 2012).”
From Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults (2017) · cites this paper as Hughes et al., 2012
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Metadata
- Authors
- Hughes, D. J., Rowe, M., Batey, M., & Lee, A.
- Affiliations
- University of Manchester (GB)
- Corresponding author
- Hughes, David John
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2012-03
- Volume
- 28
- Issue
- 2
- Pages
- 561-569
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2105543408
- Cited by
- 1,011
- References
- 45
- Citations by year
- 2026: 11 · 2025: 31 · 2024: 29 · 2023: 68 · 2022: 79 · 2021: 109 · 2020: 105 · 2019: 74 · 2018: 104 · 2017: 95 · 2016: 88 · 2015: 94 · 2014: 65 · 2013: 42 · 2012: 16
- FWCI
- 42.43
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Pure (University of Bath) (acceptedVersion, public-domain)
- The University of Bath Online Publications Store (The University of Bath) (submittedVersion)
- Coventry University Open Collections (Coventry university) (submittedVersion)
- Pure (Coventry University) (submittedVersion, other-oa)
- The Open Collections (Coventry University) (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Communication › Media and Digital Communication
- Keywords
- personality, social networking sites, Facebook, Twitter, Big Five personality traits, need for cognition, sociability, information seeking, social media use, age differences, gender differences
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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