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Record W2512854944 · doi:10.4018/ijpada.2017010105

Strategic Use of Facebook to Build Brand Awareness

2016· article· en· W2512854944 on OpenAlexaffabout
Ann Pegoraro, Olan Scott, Lauren M. Burch

Bibliographic record

VenueInternational Journal of Public Administration in the Digital Age · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAdvertisingBusinessBrand managementSocial mediaBrand awarenessProfit (economics)MarketingProduct (mathematics)Public relationsPolitical science

Abstract

fetched live from OpenAlex

Social media provides a strategic means for non-profit organizations to build and maintain strong relationships with consumers. The purpose of this study was to apply branding theory and frameworks to the use of Facebook by National Olympic Committees in two countries, Australia and Canada over specific time periods related to three Olympics Games. These Facebook pages were examined to determine the types of brand-related post content and communication style utilized as well as the consumer response to these posts. The two organizations generally used Facebook to broadcast product related brand attributes such as information about athletes and teams. There was also a significant difference in Facebook post use and focus by two organizations indicating some international differences in using Facebook for branding a sport organization. The results also provide practical implications for non-profit sport organizations using Facebook to build positive brand images, promote fan engagement and ultimately create brand ambassadors.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.118
GPT teacher head0.365
Teacher spread0.247 · 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 designTheoretical or conceptual
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

Citations20
Published2016
Admission routes2
Has abstractyes

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