🚨Working paper! In Twitter field studies + lab experiments we find that social media users systematically overperceive moral outrage online, and this amplifies perceptions of collective outrage norms, affective polarization and ideological extremity osf.io/k5dzr 🧵👇 First, thanks to a fantastic team of social psychologists and data scientists (@mollycrockett, @killianmcl1, Maria Gendron, Kara Lou, Mark Torres) who made the project possible

🚨New preprint! 🚨 In 2 observational social media studies (12.7 mil tweets) + 2 behavioral experiments (N=240) we examine how reinforcement and norm learning amplify moral #outrage expression on Twitter w/ @mollycrockett @killianmcl1 @tuanars123 (🧵👇) | psyarxiv.com/gf7t5/ We proposed that two design features of social media platforms interact with social learning mechanisms to impact outrage expression. First, we argued that streamlined social feedback delivery (e.g., salient + quantifiable likes/shares) leverages reinforcement learning 2/n

New #preprint: we use range of psychological theory / data to develop a model to explain the spread of moralized content online via: motivation, attention and the design of social media (the MAD model). w/ @jayvanbavel @mollycrockett | psyarxiv.com/pz9g6 | summary below 1/6 We start by reviewing data suggesting that expressions of moral values and emotion spread rapidly during political discourse online. We examine how morality and emotion can spread online through social appraisal processes 2/6