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Record W2322525860 · doi:10.11159/vwhci.2014.010

I Will Continue to Use This Nonetheless: Social Media Survive Users' Privacy Concerns

2014· article· en· W2322525860 on OpenAlex
Yohko Orito, Yasunori Fukuta, Kiyoshi Murata

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Virtual Worlds and Human Computer Interaction · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsnot available
FundersMinistry of Education, Culture, Sports, Science and Technology
KeywordsInternet privacySocial mediaBusinessComputer scienceComputer securityWorld Wide Web

Abstract

fetched live from OpenAlex

This study attempts to investigate the attitudes of Japanese social media users with regard to their personal data provision on social media sites and the social responsibility of social media companies in terms of personal data handling. In order to accomplish the purposes of the study, a questionnaire survey and follow-up interviews were conducted. The survey results revealed that the respondents used social media as they like regardless of their recognition of social media companies' and other companies' ways of using personal data they provided on social media sites. Many of the respondents appeared to prefer online socialisation to privacy protection, even though they felt vaguely insecure about their privacy when using social media. Considering the significant influence of social media over users' mental status, identity, autonomy and intellectual freedom, social media companies should provide users with comprehensive and clear explanations about how they collect, store, use, share and sell personal data to take their social responsibility.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
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 head0.043
GPT teacher head0.346
Teacher spread0.303 · 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