Speaker: Hause Lin (https://www.hauselin.com/) - post-doctoral researcher at MIT, Cornell University, and the University of Regina
Title: "Leveraging computational social and cognitive science to understand and improve decision making"
Room: Pythagoras, Archimedes Unit (1 Artemidos str., ART1 building, ground floor)
and virtually via Zoom Meetings - https://zoom.us/j/96690684196?pwd=4gvboNVDAeS1RPpA7pCcAsN34s2Pfb.1
• Meeting ID: 966 9068 4196
• Passcode: diZG80
Physical presence only for NLP theme members due to capacity restrictions. Check for additional ways to participate/dial in at the bottom of the announcement.
Abstract:
What affects online discourse and how can we improve it? Researchers and practitioners have been looking for ways to combat the spread of problematic content online. One promising intervention involves prompting
users to think about the accuracy of the information before sharing it. We used computational modeling (inspired by random walk models of human decision making) to show that the intervention (6 experiments, 5,633 participants) is effective because it shifts
people's attention to accuracy (but did not make them deliberate more). We then conducted three Twitter field experiments (N = 75,763) and a Facebook experiment (N = 33,043,471), which found showing users accuracy-prompt ads about three times per day reduced
misinformation sharing by up to 6.3%. I'll also mention a recent experiment (N = 89,794) with collaborators at the World Bank where we focused on reducing ethnic hate and conflict on Nigerian X and quantifing network spillover effects (i.e., whether the treatment
effect on treated users is also observed on these users’ followers). Finally, I'll briefly discuss ongoing projects related to lab and field experiments with large language models using a platform I built (https://www.vegapunkdoc.dev).
Speaker Bio:
We make countless decisions every day and often want our choices to lead to good outcomes for ourselves, others, and society. So, why do we often make bad decisions? My research seeks to understand and improve decision
making by using an interdisciplinary approach that spans multiple levels of analysis—linking the mind, brain, and behavior—that intersect cognitive science, computational social science, and complex social systems. I complement it with a rigorous, integrative
empirical strategy: I conduct survey, laboratory, and field experiments to test theories, evaluate interventions for changing decision making "in the wild," and ensure my research is internally and externally valid. My theoretical and methodological approach
pushes the frontiers of social and cognitive science theories, facilitates interdisciplinary collaborations, and tackles issues affecting individuals, societies, and policies.
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