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Record W3032269688 · doi:10.1080/0267257x.2020.1764080

Social media responses and brand personality in product and moral harm crises: why waste a good crisis?

2020· article· en· W3032269688 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Marketing Management · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsNipissing University
Fundersnot available
KeywordsCrisis communicationHarmPersonalityBrand awarenessBrand managementAdvertisingBrand equityBalance theoryProduct (mathematics)Social mediaBusinessMarketingSocial psychologyPsychologyPublic relationsPolitical science

Abstract

fetched live from OpenAlex

The purpose of this research is to understand the process of attitudinal changes towards a brand in crisis and the brand’s communication around the crisis by utilising balance theory and brand personality. Four crisis case studies were selected and data was collected from brands’ Twitter platforms on either side of the crisis event horizon. Results demonstrate an opportunity to update the balance theory approach in a crisis by considering the type of crisis (product harm vs. moral harm) relative to brand personality (brand competence vs. brand character). Balance theory helps explain how consumer attitude changes occur through a crisis. Further, the mapping of brand communications in social media over four selected case studies show that brand personality identity can change as a result of a crisis and demonstrate how brand managers can actively frame their online communication to help the brand to recover more effectively from a crisis.

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.

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)0.007
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.428
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 science0.0000.000
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 head0.069
GPT teacher head0.330
Teacher spread0.261 · 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