Citizens around the world increasingly express support for populism. Here, we apply the reinforcing spirals model to examine whether, and how, social media news use shapes populist attitudes over time. Specifically, we assess if using social media as a news source serves to maintain existing populist attitudes or facilitates a shift in attitudes to a more extreme position. A cross-sectional survey (N 1 = 195) highlighted a positive correlation between social media news use and populist attitudes. A four-wave longitudinal survey (N 2 = 386) further showed that this relationship reflects media and selection effects. Over a period of three months, more frequent social media news use predicted stronger populist attitudes at subsequent measuring points. In addition, higher levels of populist attitudes were related to more frequent social media news consumption in the following waves. However, the frequency of social media news use did not change over time and populist attitudes did not become stronger during the study period. Taken together, the findings indicate that social media news use contributed to the maintenance of populist attitudes at a stable level. There is no evidence to suggest social media news use predicted more extreme populist attitudes. We discuss these results with respect to the (potentially continued) rise of populism; we also critically reflect on the phenomenon of attitude polarization online.
Although sometimes used interchangeably, the present review highlights the important differences between generalized worldviews suspecting conspiracy at play (conspiracy mentality) and specific beliefs about the existence of a certain conspiracy (conspiracy theory). In contrast to measures of beliefs in specific conspiracy theories, those of conspiracy mentality are more stable, less malleable, less skewed in their distribution and less contaminated by other ideological content. These differences have important implications for empirical research and the theorizing of conspiracy beliefs. Building on an analogy of personality traits, we argue that conspiracy mentality is a relatively stable readiness to interpret world events as being caused by plots hatched in secret, whereas specific conspiracy beliefs are then manifest indicators (partially contaminated by other dispositions).
Citizens around the world increasingly express support for populism. Here, we apply the reinforcing spirals model to examine whether, and how, social media news use shapes populist attitudes over time. Specifically, we assess if using social media as a news source serves to maintain existing populist attitudes or facilitates a shift in attitudes to a more extreme position. A cross-sectional survey (N1 = 195) highlighted a positive correlation between social media news use and populist attitudes. A four-wave longitudinal survey (N2 = 386) further showed that this relationship reflects media and selection effects. Over a period of three months, more frequent social media news use predicted stronger populist attitudes at subsequent measuring points. In addition, higher levels of populist attitudes were related to more frequent social media news consumption in the following waves. However, the frequency of social media news use did not change over time and populist attitudes did not become stronger during the study period. Taken together, the findings indicate that social media news use contributed to the maintenance of populist attitudes at a stable level. There is no evidence to suggest social media news use predicted more extreme populist attitudes. We discuss these results with respect to the (potentially continued) rise of populism; we also critically reflect on the phenomenon of attitude polarization online.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.