Muhammad Hussain Mir
Biographic Data
| ID | 4448823 |
|---|---|
| NAME | Muhammad Hussain Mir |
| GIVEN NAMES | Muhammad Hussain |
| FAMILY NAME | Mir |
| SIGNATURE | MIR M H |
| AFFILIATIONS | York University |
| ORCID | 0009-0006-8326-8468 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Tracking menopause: An SDK Data Audit for intimate infrastructures of datafication with ChatGPT4o
This article presents a novel methodology to examine the tracking infrastructures that extend datafication across a sample of 14 menopause-related applications. The Software Development Kit (SDK) Data Audit is a mixed methodology that explores how personal data are accessed in apps using ChatGPT4o to account for how digital surveillance transpires via SDKs. Our research highlights that not all apps are equal amid ubiquitous datafication, with a d…
Empirical approaches to infrastructures for datafication: Introduction to the special issue
This article introduces a special issue exploring emerging empirical approaches to studying infrastructures for datafication and their social, political, and economic implications. The merits of empirical research on infrastructures for datafication are drawn out across seven articles offering diverse methodological entry points to develop our understanding of how datafication processes operate across everyday life settings, sectors, and institut…
No prominent works on this page.
Tracking menopause: An SDK Data Audit for intimate infrastructures of datafication with ChatGPT4o
This article presents a novel methodology to examine the tracking infrastructures that extend datafication across a sample of 14 menopause-related applications. The Software Development Kit (SDK) Data Audit is a mixed methodology that explores how personal data are accessed in apps using ChatGPT4o to account for how digital surveillance transpires via SDKs. Our research highlights that not all apps are equal amid ubiquitous datafication, with a d…
Empirical approaches to infrastructures for datafication: Introduction to the special issue
This article introduces a special issue exploring emerging empirical approaches to studying infrastructures for datafication and their social, political, and economic implications. The merits of empirical research on infrastructures for datafication are drawn out across seven articles offering diverse methodological entry points to develop our understanding of how datafication processes operate across everyday life settings, sectors, and institut…
Accounting (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Audit (1 works) · Blockchain Technology Applications and Security (1 works) · Business (1 works) · Computer Science (1 works) · Empirical research (1 works) · Epistemology (1 works) · Ethics and Social Impacts of AI (1 works) · Everyday life (1 works)