Understanding How Privacy and Data Protection Perceptions Shape Nigerian Journalists' Use of AI Tools: A Work in Progress

Generative Artificial Intelligence tools are getting increasingly incorporated into journalism workflows globally. Despite growing concerns among journalists about the privacy risks of AI tools, there is limited scholarly research on how journalists understand AI-related privacy, security, and data protection, particularly in Africa. To address this gap, this study investigates journalists' mental models around privacy policies and data handling by Artificial Intelligence companies responsible for the tools they use. We conducted a qualitative study which interviewed 20 journalists working in Nigeria about their use of GenAI tools in fulfilling their duties, ranging from information verification to reporting. The data collected was analysed using reflexive thematic analysis to draw patterns in the journalists' assumptions about GenAI privacy and the security of their data when interacting with these AI tools. Nigeria was chosen as our case study due to its significance as Africa's largest democracy, and as a country whose AI policy acknowledges and seeks to promote data privacy and security. Our interviews found that journalists have a less-than-ideal mental model of privacy policies and data handling practices by AI companies, leading to potential risk in AI-assisted journalism. We also noted a willingness to share data with AI companies in exchange for some form of value, including better technology, and journalism-specific agentic AI. We conclude that the journalists are willing to do the right thing but lack the time, resources and guidance to do so.

Authors

Institutions

Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/eurospw67616.2025.00050
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding How Privacy and Data Protection Perceptions Shape Nigerian Journalists' Use of AI Tools: A Work in Progress

J. W. Nicholson, Santosh Vijaykumar, Jamie Mahoney, Oluwamayowa Tijani
Privacy, Security, and Data Protection
article

Understanding How Privacy and Data Protection Perceptions Shape Nigerian Journalists' Use of AI Tools: A Work in Progress

J. W. Nicholson, Santosh Vijaykumar, Jamie Mahoney, Oluwamayowa Tijani
article en

Abstract

Generative Artificial Intelligence tools are getting increasingly incorporated into journalism workflows globally. Despite growing concerns among journalists about the privacy risks of AI tools, there is limited scholarly research on how journalists understand AI-related privacy, security, and data protection, particularly in Africa. To address this gap, this study investigates journalists' mental models around privacy policies and data handling by Artificial Intelligence companies responsible for the tools they use. We conducted a qualitative study which interviewed 20 journalists working in Nigeria about their use of GenAI tools in fulfilling their duties, ranging from information verification to reporting. The data collected was analysed using reflexive thematic analysis to draw patterns in the journalists' assumptions about GenAI privacy and the security of their data when interacting with these AI tools. Nigeria was chosen as our case study due to its significance as Africa's largest democracy, and as a country whose AI policy acknowledges and seeks to promote data privacy and security. Our interviews found that journalists have a less-than-ideal mental model of privacy policies and data handling practices by AI companies, leading to potential risk in AI-assisted journalism. We also noted a willingness to share data with AI companies in exchange for some form of value, including better technology, and journalism-specific agentic AI. We conclude that the journalists are willing to do the right thing but lack the time, resources and guidance to do so.

Northumbria University (GB)
Openalex Percentile: Top 69%
Privacy, Security, and Data Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.