Fighting biased news diets: Using news media literacy interventions to stimulate online cross-cutting media exposure patterns

Abstract

Online news consumers have the tendency to select political news that confirms their prior attitudes, which may further fuel polarized divides in society. Despite scholarly attention to drivers of selective exposure, we know too little about how healthier cross-cutting news exposure patterns can be stimulated in digital media environments. Study 1 (N = 553) exposed people to news media literacy (NML) interventions using injunctive and descriptive normative language. The findings reveal the conditional effect of such online interventions: Participants with pro-immigration attitudes engaged in more cross-cutting exposure while the intervention was only to a certain extent effective for Democrats, ineffective for Republicans, and even boomeranged for partisans with anti-immigration attitudes. In response to these findings, Study 2 (N = 579) aimed to design interventions that work across issue publics and party affiliation. We show that NML messages tailored on immigration beliefs can be effective across the board. These findings inform the design of more successful NML interventions.