Attitudinal and behavioral correlates of algorithmic awareness among German and U.S. social media users

Abstract

Abstract With the increase in algorithms on social media, scholarship is increasingly focused on “algorithmic literacy,” or users’ understanding of algorithms. Algorithmic literacy is multi-faceted (knowledge, attitudes, and behavior), and researchers are still uncovering how these facets are connected. This article presents a preregistered survey of social media users from two western countries: the United States (n = 990) and Germany (n = 1117). Results show key predictors of algorithmic awareness—age, education, frequency of social media use—are the same in both countries. Nevertheless, U.S. social media users show higher algorithmic awareness and more positive attitudes toward algorithms than German social media users, likely due to their higher overall social media usage. Results also indicate that algorithmic awareness predicts attitudes about filtering algorithms depending on users’ defense motivations or accuracy motivations and behaviors to counteract filtering. These patterns have implications for literacy interventions and for increasing algorithmic transparency.