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A Tentative Study of the Impoliteness Phenomenon in Computer-mediated Communication

2010· article· en· W1854605520 on OpenAlexvenueno aff
Shuang-shuang Lu

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicLanguage, Discourse, Communication Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitenessComputer-mediated communicationInterpersonal communicationPsychologyHumanitiesSocial psychologyThe InternetLinguisticsComputer sciencePhilosophyWorld Wide Web

Abstract

fetched live from OpenAlex

This article examines the politeness phenomenon in one particular computer-mediated communication (CMC) situation in China: synchronous private on-line chat. With the popularization of the internet, CMC has drawn the attention of many linguists and communication theorists. Some previous studies have compared computer-mediated communication (CMC) with face-to-face communication (FTF); findings reveal that CMC bears some resemblance and displays some differences from FTF communication in terms of the communication characteristics and linguistic features. Yet the politeness strategies have not received much attention in CMC. The present study aims to see whether the politeness principles based on FTF communication can be applied to CMC. The study finds that traditional politeness principles and maxims based on FTF are often violated and readapted in synchronous on-line chat; but instead of hindering the on-line communication, the violation and adaptation are found to fulfill different social and interpersonal functions in CMC, including fostering solidarity between the participants, venting one’s emotions, improving the efficiency of communication etc.. Key words: politeness; computer-mediated communication; interpersonal function; social function; QQ. Resume: Cet article examine le phenomene de politesse dans une situation particuliere de communication mediatiee par ordinateur (CMO) en Chine: le chat prive instantane en ligne. Avec la popularisation de l'Internet, la CMO a attire l'attention de beaucoup de linguistes et des theoriciens de la communication. Plusieurs etudes anterieures ont compare la communication mediatisee par ordinateur (CMO) avec la communicatin en face-a-face(FaF), dont les conclusions revelent que le CMO montre une certaine ressemblance et affiche certaines differences par rapport a la communication FaF en termes de caracteristiques de communication et des caracteristiques linguistiques. Pourtant, les strategies de politesse n'ont pas recu beaucoup d'attention dans la CMO. La presente etude vise a determiner si les principes de politesse bases sur la communication FaF peuvent etre appliques a la CMO. L'etude conclut que les principes de politesse et les maximes traditionnelles fondes sur la communication FaF sont souvent enfreints et readaptes au chat instantane en ligne, mais au lieu d'entraver la communication en ligne, la violation et l'adaptation semblent pouvoir remplir de differentes fonctions sociales et interpersonnelles dans la CMO, y compris la solidarite encouragee entre les participants, le dechargement des emotions, l'amelioration de l'efficacite de la communication etc. Mots-Cles: politesse; communication mediatisee par ordinateur; fonction interpersonnelle; fonction sociale; QQ

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.349
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2010
Admission routes1
Has abstractyes

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