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Record W4404104788 · doi:10.1145/3703599.3703605

Bridging the Privacy Gap: Analyzing Nigerian Disclosure Behaviors and Developing Culturally Relevant Interventions

2024· article· en· W4404104788 on OpenAlex
Victor Yisa, Rita Orji

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACM SIGACCESS Accessibility and Computing · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBridging (networking)Psychological interventionInternet privacyCulturally sensitiveCulturally appropriatePsychologyBusinessComputer scienceNursingSocial psychologyComputer securityMedicineFamily medicine

Abstract

fetched live from OpenAlex

The proliferation of the internet has significantly increased social media usage in sub-Saharan Africa, particularly in Nigeria, where over 163 million users engage in diverse activities. However, existing privacy and security studies and solutions are primarily tailored for Western, Educated, Industrialized, Rich, and Democratic (WEIRD) countries, leaving Nigerian users underserved. This paper examines Nigerian privacy and disclosure behavior across various domains using the privacy calculus framework to develop effective, relatable, and applicable interventions. Three studies are described: one on financial applications, another on social media birthday disclosures, and a third on intimate contexts such as sexting. The findings will inform the development of gamified, culturally relevant privacy education tools aimed at enhancing privacy awareness and behavior among Nigerians.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0030.002
Open science0.0010.002
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 head0.062
GPT teacher head0.379
Teacher spread0.318 · 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