I Will Continue to Use This Nonetheless: Social Media Survive Users' Privacy Concerns
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.013 | 0.021 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".