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Ethics and social media: Implications for sociolinguistics in the networked public<sup>1</sup>

2012· article· en· W2137671741 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 Sociolinguistics · 2012
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of VictoriaThompson Rivers University
Fundersnot available
KeywordsPublicsSociologySociolinguisticsMedia studiesIdentity (music)EthnographyHumanitiesPolitical scienceAnthropologyArtLinguisticsAestheticsLaw

Abstract

fetched live from OpenAlex

As a popular agora for writing identity into being, the networked public of social media sites presents exciting and unprecedented possibilities for sociolinguistic research. At the same time, these sites raise a wealth of unfamiliar methodological and ethical issues, and debate concerning appropriate ethical measures for research targeting online discourse communities is emergent. One of the most pressing debates concerns the visibility of online interaction (i.e. its locus between the public and private ends of the continuum). Although they exist freely online, networked publics are not public forums. They are governed by both personal and communal norms, and they are networked. This combination of factors gives rise to unique ethical challenges, particularly in the case of Facebook, an accessible and data‐rich, yet problematic, research site. This paper reviews the ethical difficulties presented by Facebook, and presents a framework for ethnographic sociolinguistic research that uses this site as a source of data. En tant qu’espace public privilégié pour la création de l’identitéà travers l’écriture, le public ≪réseauté≫ (interconnecté) des sites des médias sociaux présente des possibilités prometteuses et sans précédent pour la recherché en sociolinguistique. Cependant, ces sites soulèvent de nombreuses questions méthodologiques et éthiques qui sont nouvelles, d’où l’émergence de discussions portant sur les mesures éthiques appropriées pour la recherche qui vise les communautés discursives en ligne. Un des débats concerne la visibilité de l’interaction en ligne (c.‐à‐d. sa place entre les extrémités privée et publique du continuum). Bien qu’ils existent de façon libre en ligne, les réseaux publics ne sont pas des forums publics. Ils sont gouvernés à la fois par des normes personnelles et communautaires, et ils sont interconnectés. Cette combinaison de facteurs donne naissance à des défis éthiques uniques, en particulier dans le cas de Facebook, un site de recherche accessible et riche en données, mais problématique. Cet article passe en revue les difficultés éthiques que Facebook présente, et offre un cadre de travail pour la recherche sociolinguistique ethnographique utilisant ce site comme source de données. [French]

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
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 integrity0.0000.001
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 head0.123
GPT teacher head0.360
Teacher spread0.236 · 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