Understanding networked youth and online privacy: Questions, methods and implications
Bibliographic record
Abstract
ABSTRACT Young people's social practices online and use of digital media have been conceptualized both as an opportunity and a threat to society. While the mass media has often focused on moral panic related to dramatic examples of social media‐related harm to young people, research within Library and Information Science has taken multiple methodological approaches to investigate the ways digital youth navigate and negotiate privacy in online spaces. Findings from such studies offer insight into youth cultures and technology design that supports online privacy. This panel will demonstrate a variety of projects and approaches that have been taken to investigate privacy issues related to young people's online interactions and practices, and the social and design implications of emerging findings for our understanding of young people and online privacy. We will also lead audience members in an interactive brainstorming session centered around various research scenarios, asking participants to consider the strengths and weaknesses of specific research questions and methods in addressing adults’ concerns related to youth and online privacy. We will conclude with an interactive discussion of recommended future research directions for enhancing our understanding of young people's privacy practices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; both teacher heads agree on what is shown here.
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".