All Stories

  1. Exploring LLM-generated hints for students’ Error Recovery in programming
  2. Relationships in the age of AI: A review on the opportunities and risks of synthetic relationships to reduce loneliness
  3. Whistleblowers can contain the unethical externalities of human–AI delegation
  4. Understanding the minds of voice assistants—How do perceived technical understanding and mind attribution influence trust and satisfaction over time?
  5. Consciousness, Mind Perceptions, and Emotional Reactions to AI: A Mixed-Methods Study Across Five Countries
  6. How cyborg propaganda reshapes collective action
  7. Human-in-the-Loop Oversight of AI is Compromised by Political Preferences
  8. Writing with AI Boosts Trust-Building Efficiency
  9. Human-in-the-Loop Oversight of AI is Compromised by Political Preferences
  10. Human-in-the-Loop Oversight of AI is Compromised by Political Preferences
  11. First Interactions with Generative Chatbots Shape Local but Not Global Sentiments About AI
  12. Whistleblowers can contain the unethical externalities of human-AI delegation
  13. Delegation to artificial intelligence can increase dishonest behaviour
  14. Relationships in the Age of AI: A Review on the Opportunities and Risks of Synthetic Relationships to Reduce Loneliness
  15. Is Less More? Field Evidence on the Impact of Anti‐Bribery Policies on Employee Knowledge and Corrupt Behavior
  16. Experimental evidence that delegating to intelligent machines can increase dishonest behaviour
  17. The Social Psychology of Corruption
  18. Relationships in the Age of AI: A Review on the Opportunities and Risks of Synthetic Relationships to Reduce Loneliness
  19. Behavioural ethics of Artificial Intelligence
  20. Experimental Evidence for Efficiency Gains on Trust via AI-Mediated Communication
  21. Experimental evidence that delegating to intelligent machines can increase dishonest behaviour
  22. Artificial intelligence as a weapon to fight corruption: Civil society actors on the benefits and risks of existing bottom-up approaches
  23. Social Preferences Toward Humans and Machines: A Systematic Experiment on the Role of Machine Payoffs
  24. Bribery across Borders - How perceptions about one's partner shape people's willingness to bribe
  25. Bribery across nations
  26. Algorithms against Corruption: A Conjoint Study on Designing Automated Twitter Posts to Encourage Collective Action
  27. Bribery Games - A Meta-Analysis
  28. Bribery Games - A Meta-Analysis
  29. A systematic literature review and integrative framework on the link between emotions and corruption
  30. Bribery across nations
  31. The promise and perils of using artificial intelligence to fight corruption
  32. Is Less More? Field Evidence on the Impact of Anti-bribery Policies on Employee Knowledge and Corrupt Behavior
  33. The Dark Side of Collaboration
  34. Bad machines corrupt good morals
  35. Precision in a Seller’s Market: Round Asking Prices Lead to Higher Counteroffers and Selling Prices
  36. Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
  37. Fooled Twice – People Cannot Detect Deepfakes But Think They Can
  38. The Consequences of Participating in the Sharing Economy: A Transparency-Based Sharing Framework
  39. Universality of the Triangular Theory of Love: Adaptation and Psychometric Properties of the Triangular Love Scale in 25 Countries
  40. Recent approaches to the study of social norms and corruption
  41. Reasons for Facebook Usage: Data From 46 Countries
  42. Sex Differences in Mate Preferences Across 45 Countries: A Large-Scale Replication
  43. Social norms of corruption in the field: social nudges on posters can help to reduce bribery
  44. Contrasting Computational Models of Mate Preference Integration Across 45 Countries
  45. Assortative mating and the evolution of desirability covariation
  46. Intuitive Honesty Versus Dishonesty: Meta-Analytic Evidence
  47. The Look Over Your Shoulder: Unethical Behaviour Decreases in the Physical Presence of Observers
  48. Taxing the brain to uncover lying? Meta-analyzing the effect of imposing cognitive load on the reaction-time costs of lying
  49. In a seller’s market, setting precise asking prices backfires