liveBook · Manning

Data misuse

As explained in Data for All

Data abuse is the misuse of personal or user-generated data in ways that can harm or exploit the people it concerns.

Data misuse is the harmful or exploitative use of personal and user-generated information after it has moved beyond the creator’s control. Every photograph, post, message, browsing choice, and location can acquire a longer life than expected. section 1.1.3

The issue reaches beyond individual privacy. Surveillance cameras, online activity, and commercial platforms create systems in which institutions can observe behavior, pursue growth, and make choices that affect people’s safety and wellbeing. section 1.1.3 section 1.4.2

Reduce avoidable exposure by making deliberate choices:

  • Pause before creating or sharing an embarrassing, compromising, or incriminating photograph, video, post, or message. section 1.1.3
  • Treat links and online activities as potential sources of wider harm, including ransomware infection or malware propagation. section 1.1.3
  • Consider how data is stored, managed, and used, then discuss those consequences with people you care about. section 1.1.3

The Facebook whistleblower disclosures

In 2021, Frances Haugen’s testimony and leaked research drew attention to Facebook’s knowledge of harmful effects associated with Instagram, including worsening body-image concerns, eating disorders, and suicidal thoughts among some teenage girls. The controversy focused on whether growth and profit were prioritized over user wellbeing. section 1.4.2

How Data for All covers it

How deep it goes
Explains the data lifecycle through consequences and choices, then stops short of technical systems or legal remedies.
Examples
Uses street surveillance, compromising media, ransomware links, and Instagram research about teenage users.
What you can do after
Evaluate/understand how everyday actions affect data exposure and make more conscious choices about creating, sharing, and managing information.
How it connects
Ties data misuse to personal data, surveillance, malware, ransomware, social media, and corporate profit.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.