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Record W2295331802 · doi:10.1109/hicss.2016.455

An Exploratory Study on Behavioral and Emotional Coping with IT-Enabled Government Surveillance

2016· article· en· W2295331802 on OpenAlexaff
Hanieh Moshki, Henri Barki

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsConceptualizationOperationalizationCoping (psychology)PsychologyExploratory researchSocial psychologyComputer scienceClinical psychologySociology

Abstract

fetched live from OpenAlex

Despite the growing literature on the notion of Data Privacy Concern, we lack an agreed upon conceptualization and operationalization of this overarching construct. The present paper argues that the concept of privacy is highly context-dependent and that its proper conceptualization requires the specification of the nature of the data involved, as well as the identity of the perceived data violator. Based on this idea, as well as Folkman et al.' s [11] eight ways of coping as a conceptual framework, we describe an exploratory study we undertook to examine individuals' behavioral and emotional coping approaches to online intellectual privacy and governments as potential violators of online intellectual privacy. A qualitative analysis of 206 online textual comments made by surveillance news readers led to the identification of three behavioral coping mechanisms, i.e., confrontive_B coping, enlightening and self-control, as well as five emotional coping mechanisms, i.e., delusional thinking, self-control, confrontive_E coping, escape-avoidance and positive appraisal.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.903

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.320
Teacher spread0.272 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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