Digital Privacy Challenges with Shared Mobile Phone Use in Bangladesh
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.
Bibliographic record
Abstract
Prior research on technology use in the Global South suggests that people in marginalized communities frequently share a single device among multiple individuals. However, the data privacy challenges and tensions that arise when people share devices have not been studied in depth. This paper presents a qualitative study with 72 participants that analyzes how families in Bangladesh currently share mobile phones, their usage patterns, and the tensions and challenges that arise as individuals seek to protect the privacy of their personal data. We show how people share devices out of economic need, but also because sharing is a social and cultural practice that is deeply embedded in Bangladeshi society. We also discuss how prevalent power relationships affect sharing practices and reveal gender dynamics that impact the privacy of women's data. Finally, we highlight strategies that participants adopted to protect their private data from the people with whom they share devices. Taken together, our findings have broad implications that advance the CSCW community's understanding of digital privacy outside the Western world.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.007 | 0.004 |
| 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 it