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Record W3093152975 · doi:10.15173/mjc.v12i2.2464

Social media: Are the lines between professional and personal use blurring?

2020· article· en· W3093152975 on OpenAlex
Josie Cassano Rizzuti

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe McMaster Journal of Communication · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSocial mediaPublic relationsSocial media optimizationMedia relationsDigital mediaSociologyPoliticsAdvertisingInternet privacyBusinessPolitical scienceWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

A key aspect of understanding communications in a global environment is understanding social media usage. With the recent dramatic increase in social media usage in the past decade, the incorporation of social media and online platforms into communication strategies of organizations has been intensively discussed and researched. This study investigates social media usage at a global manufacturer to understand how it is being used for business purposes. Are personal and professional lines blurring with social media use? With the increased use of social media in the workplace, our professional and personal lives are increasingly becoming intertwined. The literature suggests that social media interaction and managing the boundaries is more difficult online than offline. Social media is where the lines are blurred between our professional and private lives. It is where we share our food, music, movies, pictures, purchases, politics, and our every-day patterns, alongside our daily professions, on display for the entire world to see. Keywords: social media, strategy, digital, issues, communication, professional

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)0.001
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 score0.541
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.147
GPT teacher head0.347
Teacher spread0.200 · 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