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Record W2786736782 · doi:10.1177/2056305117746356

Fans, Friends, Advocates, Ambassadors, and Haters: Social Media Communities and the Communicative Constitution of Organizational Identity

2018· article· en· W2786736782 on OpenAlex
Veronica R. Dawson

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSocial Media + Society · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsOrganizational identitySocial mediaSociologyIdentity (music)ConversationPublic relationsSocial identity theoryDialecticMetaphorContext (archaeology)ConstitutionSocial psychologyPsychologyPolitical scienceEpistemologySocial groupOrganizational commitmentCommunicationLinguisticsSocial science

Abstract

fetched live from OpenAlex

Organizational identity is always somewhat socially co-authored. The social-media context provides an opportunity to interrogate the extent of this co-authoring in an interaction-heavy and difficult to control environment. This article presents a typology of online communities that co-author organizational identity through confirming and disconfirming identity messages. Through extensive qualitative research, including interviews, marketing meetings observations, and social media interaction observations, social media communicative practices are examined through a communication constitutive of organizing (CCO) framework, specifically the conversation-text dialectic of the Montreal School. By focusing the research on boundary-spanning social media marketers and their interpretations of social media interactions, this article demonstrates ways that organizational identities are co-authored from external interaction (conversation) to internal practice (text). This study contributes to the ongoing theoretical extension of the CCO framework beyond the container metaphor, while also contributing to the practice of social media marketing within and around organizations.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.998

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 studies0.0040.013
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 head0.040
GPT teacher head0.300
Teacher spread0.260 · 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