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Record W2156684392 · doi:10.1123/ijsc.2014-0004

Facing Off on Twitter: A Generation Y Interpretation of Professional Athlete Profile Pictures

2014· article· en· W2156684392 on OpenAlexaff
Katie Lebel, Karen Danylchuk

Bibliographic record

VenueInternational Journal of Sport Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsWestern University
Fundersnot available
KeywordsAthletesPresentation (obstetrics)PsychologyContext (archaeology)Impression managementMeaning (existential)Interpretation (philosophy)Social mediaApplied psychologyContent analysisHuman physical appearanceSocial psychologyAdvertisingSociologyComputer scienceMedicineSocial science

Abstract

fetched live from OpenAlex

This study investigated how professional athletes present themselves in their Twitter profile pictures and how athlete self-presentation is interpreted by a Generation Y audience ( N = 206). Goffman’s theory of self-presentation guided the analysis with a specific focus on the notions of front- and backstage performances as they relate to impression-management strategies. Participants assessed a sample of profile photos of the most followed male and female athletes on Twitter by providing their first impressions of each athlete’s image and then evaluating photo favorability and effectiveness. This research provides evidence to suggest that individuals invest meaning in the social cues provided in athlete profile pictures. Athletes who highlighted a sport context were consistently ranked most favorably and effectively and were linked with positive word associations. These findings underscore the importance of a strategic alignment between social-media profile content, profile photos, and the brand established by athletes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.345
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2014
Admission routes1
Has abstractyes

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