Ethical Frameworks for Conducting Social Challenge Studies

Area of Science:

• Computational social science
• Online research ethics
• Human-computer interaction

Background:

• Online computational social science studies often expose participants to adverse phenomena, such as conspiracy theories or malicious bots.
• These
• social challenge studies
• parallel medical challenge studies but lack established ethical guidelines and control.
• Existing medical challenge study frameworks offer potential models for social research ethics.

Purpose of the Study:

• To examine ethical frameworks from medical challenge studies.
• To explore how these principles can inform ethical guidelines for social challenge studies.
• To initiate a discussion on formalizing ethical standards and long-term harm evaluation for social research.

Main Methods:

• Comparative analysis of ethical frameworks in medical challenge studies and social science research.
• Literature review on existing ethical guidelines and best practices.
• Conceptual examination of applying medical ethical principles to social research contexts.

Main Results:

• Medical challenge studies provide a robust ethical framework with established principles for risk management and participant safety.
• Social challenge studies currently operate with less control and fewer defined ethical guidelines compared to their medical counterparts.
• Key principles from medical challenge studies, such as risk-benefit analysis and informed consent, can be adapted to social research.

Conclusions:

• Formalizing ethical standards for social challenge studies is crucial for responsible research conduct.
• Adapting principles from medical challenge studies can help mitigate risks and protect participants in online social science research.
• Encouraging ongoing dialogue and long-term evaluation of potential harms is essential for advancing the field ethically.