“Using design interventions to reduce the spread of misinformation online” ADM+S talk
Abstract: On social media, engagement optimization, the attention economy and dark patterns have led to increased polarization, the spread of misinformation, and a general lack of civic engagement. I argue that misinformation spreads not because people get “duped” by bad information, or engage in politically motivated reasoning, but rather because they simply aren’t paying attention. Across several lab experiments and a digital field experiment on Twitter in which we messaged users who had previously shared news from misleading websites, we find that subtly promoting people to think about the concept of accuracy decreases their sharing of false and misleading news relative to accurate news. We also show how such a method could be used to crowdsource the detection of misinformation with a computational framework that actively mitigates echo chambers. Our results suggest that people have untapped potential to engage in collective civic behaviour online, and that novel platform designs can help mobilize this capacity.
Here are two papers of relevance to the presentation:
Speaker: Zivvy Epstein is a member of the Human Dynamics group at the MIT Media Lab. His work integrates aspects of design and computational social science to model and understand cooperative systems. He focuses on new challenges and opportunities that emerge from a digital society, particularly in the domains of artificial intelligence and social media.