"Ask this from the person who has private stuff": Privacy Perceptions, Behaviours and Beliefs Beyond W.E.I.R.D

Privacy Perception & Decision-MakingTechnology Ethics & Critical HCIDeveloping Countries & HCI for Development (HCI4D)

Title of the Paper

"Ask this from the person who has private stuff": Privacy Perceptions, Behaviours and Beliefs Beyond W.E.I.R.D

Paper Information

  • Subject Area: Human-Computer Interaction, Privacy Perception, Gender and Socio-Cultural Influences
  • Keywords: Privacy, South Asia, Patriarchy, Religion, Gender, Culture, User Behavior, Low Literacy, Mobile Applications, WEIRD

Research Background and Problem

  • What problems or challenges did the authors identify?

    • Existing privacy research and design predominantly focus on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) populations, failing to reflect the needs of users from non-Western contexts.
    • Specific cultural and religious norms in regions like Pakistan (e.g., patriarchy and Islamic values) significantly influence users' privacy perceptions and behaviors.
    • Populations with low literacy and limited digital skills lack privacy-related knowledge and technical capabilities, exacerbating digital vulnerabilities.
  • Why is this issue important?

    • Regions like South Asia, with large populations and rapidly growing mobile and internet users, are underserved by privacy designs that fail to address their unique needs.
    • Gender and social structures shaping digital privacy behaviors may further exacerbate existing social inequalities, particularly for women and low-literacy groups in vulnerable positions.
  • Research Motivation and Related Work:

    • To build an understanding of the privacy-related behaviors of low-literacy users and address the gap in privacy research in the Global South context.
    • The authors aim to expand existing research by providing new insights into how privacy behaviors manifest uniquely within the contexts of religion (e.g., Islam), culture, and gender.

Solution

  • What methods or solutions did the authors propose?

    • Conduct qualitative research through in-depth interviews with 40 participants (17 men and 23 women) from low-income and low-literacy groups in Pakistan to understand their privacy perceptions and behaviors.
  • What is innovative about this solution?

    • The study focuses on a non-Western, non-secular religious-cultural context, exploring gender differences in privacy behaviors.
    • Introduces the concept of the "Digital Purdah" to analyze the religious influences on privacy behaviors.
    • Combines the vulnerability-centric framework and the contextual integrity framework to analyze the relationship between privacy design and power inequalities.
  • Implementation Steps and Techniques:

    1. Data Collection:

      • Semi-structured, in-person interviews covering privacy perceptions, specific privacy behaviors, and the use of related applications (e.g., WhatsApp and Facebook).
      • Conducted in a secure environment to ensure participants' comfort in discussing privacy-related topics.
      • Communication was conducted in local languages (Urdu and Punjabi).
    2. Data Analysis:

      • Open coding of interview content to extract themes; used thematic analysis and affinity mapping to identify core insights.
    3. Focus on Key Themes:

      • Explored the influence of religion, patriarchy, and low literacy levels on privacy behaviors.

Research Outcomes

  • What specific findings were achieved?

    • Religious Influence: Islamic values (e.g., "Purdah/Digital Purdah" and "Haya" or modesty) profoundly shape privacy perceptions, with women tending to restrict men's access to their digital content in accordance with religious norms.
    • Gender Differences under Patriarchal Constraints:
      • Women living under patriarchal systems often have their privacy behaviors restricted by family and male relatives.
      • Men exhibit greater freedom in controlling their privacy, including using encryption tools (e.g., hidden app locks and unofficial versions of WhatsApp) to conceal their activities.
    • Knowledge Gap: Men acquire privacy-related technical knowledge through social networks (e.g., mobile repair shops, male gatherings), while women heavily rely on male relatives.
    • Privacy Behavior Strategies:
      • Women tend to protect their privacy through subtle means, such as deleting messages or restricting WhatsApp status viewers, to avoid being perceived as breaking "rules."
      • Men are more likely to use tools like hidden app locks to establish multi-layered privacy.
  • What advantages does this solution offer compared to existing approaches?

    • By adopting an intersectional perspective (low literacy, religion, gender inequality), the study deepens the understanding of privacy behaviors in the Global South.
    • Proposes critical theoretical insights: privacy design should not merely conform to "community norms" but also question the power structures underlying those norms.
  • What were the experimental or evaluation results?

    • Privacy perceptions and practices are heavily influenced by religious and cultural norms, with women often adopting covert strategies to navigate technological vulnerabilities and societal rules.
    • Male and female participants exhibited distinct privacy behaviors, but both were significantly affected by structural forces (e.g., patriarchy, religious doctrines).
  • Limitations and Future Directions:

    • Limitations:
      • The study focuses on low-income groups in Pakistan, which may not fully represent other regions in the Global South.
      • The reliance on self-reported data in interviews may introduce observer bias and self-censorship on privacy-related topics.
    • Future Research Directions:
      • Develop more targeted privacy designs, particularly mechanisms that cater to women's implicit privacy needs (e.g., "private modes" or protections under a "digital purdah").
      • Explore more customized privacy prompts and educational methods to bridge gender and knowledge gaps.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/68861/2022

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3501883
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2022
emoji_events
Award
No award tagged
group
Authors
4 authors
sell
Subtopics
Privacy Perception & Decision-Making, Technology Ethics & Critical HCI, Developing Countries & HCI for Development (HCI4D)
work
Professions
article
Content Status
Full text indexed
hub
Related Papers
1 related papers