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Communication, compassion, and computers: Adolescents' and adults' evaluations of online and face‐to‐face deception

2018· article· en· W2794497768 on OpenAlexaffabout
Sean Patrick O’Rourke, Michelle Eskritt, Sandra Bosacki

Bibliographic record

VenueJournal of Adolescence · 2018
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsBrock UniversityMount Saint Vincent University
Fundersnot available
KeywordsDeceptionPsychologyCompassionPerceptionFace (sociological concept)Social psychologyDevelopmental psychologyFace-to-face

Abstract

fetched live from OpenAlex

We explored Canadian adolescents', emergent adults', and adults' understandings of deception in computer mediated communication (CMC) compared to face to face (FtF). Participants between 13 and 50 years read vignettes of different types of questionable behaviour that occurred online or in real life, and were asked to judge whether deception was involved, and the acceptability of the behaviour. Age groups evaluated deception similarly; however, adolescents held slightly different views from adults about what constitutes deception, suggesting that the understanding of deception continues to develop into adulthood. Furthermore, CMC behaviour was rated as more deceptive than FtF in general, and participants scoring higher on compassion perceived vignettes to be more deceptive. This study is a step towards better understanding the relationships between perceptions of deception across adolescence into adulthood, mode of communication, and compassion, and may have implications for how adults communicate with youth about deception in CMC and FtF contexts.

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 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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.364
Teacher spread0.337 · 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 teacher head, 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

Citations3
Published2018
Admission routes2
Has abstractyes

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