PERSONALIZATION AND ONLINE RADICALIZATION: A MIXED METHODS
Social media algorithms that personalize user content pose a significant concern for American national security because they have the potential to intensify “reinforcing spirals” (Slater, 2007) that can lead users toward extremism. Our previous work (Le et al., 2019) has shown that algorithmic personalization is higher for populations with extreme ideological beliefs; therefore, there is an urgent need to identify factors that make one vulnerable to radicalization online. Our overall objectives for this project are, first, to identify the technological, psychological, and cultural factors that contribute to radicalization of vulnerable populations on social media and, second, to develop tools that can identify and predict radicalization on social media.
2020-21 American Fellow
Raven Maragh-Lloyd’s work on race, gender and digital media explores the ways that marginalized groups use technology toward community and survival. Her new work on Black women and care addresses the gap of communal care in digital activist frameworks. Her goal is to obtain tenure at a research university and facilitate public-facing initiatives for girls and women on the margins.