Principles of Ethical Digital Research

MACS 30000: Perspectives on Computational Analysis
University of Chicago

Ethics in Digital Research

Why consider ethics?

  • Science can have severe physical, mental, and or emotional repercussions on human subjects
    • Historical example: Tuskegee Syphilis Study
    • Subsequent government regulations and human subject research guidelines:
      • Belmont Report (1978)
      • Menlo Report (2010)
  • Major concerns in a digital age
    • Informed consent
    • Unanticipated consequences of data collection
    • Algorithmic bias
    • Data privacy
  • Not always clear-cut in the digital age, though…

Four Principles of Ethical Research

  • Belmont Report (1978)
    • Respect for Persons
    • Beneficence
    • Justice
  • Menlo Report (2010)
    • Respect for Law and Public Interest

Respect for persons

  1. Individuals should be treated as autonomous
  2. Individuals with diminished autonomy should be entitled to additional protections

Beneficence

  • Obligation researchers have to participants
    • Do not harm
    • Maximize possible benefits and minimize possible harms
  • What happens if they are in conflict?
    • Need to balance these concerns
    • Conduct a risk/benefit analysis
    • Make a decision whether the benefits balance the risk;
    • Discussion: success-breeds-success study (van de Rijt et al. 2012)

Justice

  • Distribute the burdens and benefits of research
    • Is it reasonable to assign or not assign treatment to one random subset of participants?
  • Initially meant protecting vulnerable people from researchers
    • Example: Studying prisoners due to convenience sampling
    • Example: Kosinski et al. (2013)’s study of predicting personal traits using public data from Facebook

Justice

  • Also emphasizes that minority groups should be proactively sought to include in study
    • Example: Facebook vote mobilization study (Bont et al. 2012)

Respect for law and public interest

  • Make sure you don’t break the law when conducting research
  • Compliance
    • Terms of Service
    • Web scraping
      • HiQ labs v. LinkedIn
    • Aaron Swartz
  • When is non-compliance ethical?
  • Transparency

Common ethical considerations in digital research

Informational risk

  • Data leakage and anonymization
  • Massachusetts health data

Informational risk: Massachusetts health data

Informational risk

  • Need to balance concerns and develop data protection plans
  • Differential privacy

Privacy

Privacy should be respected because people should be respected.

But what is “public” vs. “private” in the digital world?

If information is publicly accessible, then it can be used by researchers without concerns about violating people’s privacy.

  • Can it?

Institutional Review Board (IRB)

Who needs to submit to IRB review

Research projects involving human subjects require review and approval by an Institutional Review Board.

Research

A systematic investigation, including research development, testing and evaluation, designed to develop or contribute to generalizable knowledge

Human subject

A living individual about whom an investigator (whether professional or student) conducting research obtains (1) data through intervention or interaction with the individual, or (2) identifiable private information.

About whom

To be considered research with “human subjects,” the data received from a living individual must be about the person.

Intervention

Includes both physical procedures by which data are gathered and manipulations of the subject or the subject’s environment that are performed for research purposes.

Interaction

Includes communication or interpersonal contact between investigator and subject.

Private information

Includes information about behavior that occurs in a context in which an individual can reasonably expect that no observation or recording is taking place, and information which has been provided for specific purposes by an individual and which the individual can reasonably expect will not be made public

When are studies not research with human subjects?

  • Data collection for internal purposes
  • Internal class projects not designed to be generalizable or used beyond the class
  • Some examples that do not meet the definition of human subjects (according to the SBS IRB):
    • Data available to the general public
    • Analysis of data/specimens from deceased individuals
    • Observations in a public park
    • Thoughts?

The IRB is a floor, not a ceiling!

General IRB Considerations

  • Minimal risk
    • “[T]he probability and magnitude of harm or discomfort anticipated in the research are not greater in and of themselves than those ordinarily encountered in daily life or during the performance of routine physical or psychological examinations or tests.”
    • Are research subjects part of a vulnerable population?
    • Types of potential risks: physical, psychological, social, economic, legal, etc.
  • Informed consent
  • Data confidentiality and provisions to protect privacy of research subjects

Human subjects protection training

  • Complete human subjects protection training
    • “Social and Behavioral Sciences IRB Human Subjects Protection Training Course”
    • Most Important Elective Modules for CSS:
      • “Human Subjects Considerations and Big Data Research”
      • “Internet-Based Research”
  • Must be done before submitting an IRB proposal (and required for this class as a part of your final proposal grade!)

If in doubt about whether your project requires IRB approval, ask!

  • In MACSS: Sabrina Biggus (Student Affairs Administrator) is our IRB liason who will guide your project through the IRB process

Source: “Navigating the IRB Process” slides from SBS IRB

Next class: Evaluating the Ethics of Digital Research

  1. Read Kramer et al. (2014)’s Facebook contagion study and Watts (2014)’s defense and answer: should this research be allowed?
  2. Discuss the ethics of the collection/release of the “Tastes, Ties, and Time” dataset (Zimmer 2010) in light of the 4 principles of ethical research.
  3. Mental Exercise: Debate the ethics of Milkman et al.(2012)’s research design
    • Before class: read the Canvas prompt and think about the questions
    • In class: Will randomly split class into two groups (so think about both positions as you read!)
      • Group 1: “Balanced across the 4 principles of ethical research, this is an ethical study”
      • Group 2: “Balanced across the 4 principles of ethical research, this is an unethical study”