Frequencies, drivers, and solutions to news non-attendance: Investigating differences between low news usage and news (topic) avoidance with conversational agents

Low levels of news seeking can be problematic for an informed citizenry. Previous research has discussed different types of news non-attendance but conceptual ambiguities between low news usage, general news avoidance, and news topic avoidance still exist. By using a longitudinal design conducted with a chatbot survey among Dutch users (n = 189), this study provides first empirical evidence that helps clarify conceptual differences. First, it estimates the prevalence of these different types of news non-attendance. Second, it tests to what extend cognitive restrictions, quality assessments, and personal relevance are relevant predictors in explaining engagement in three types of non-attendance to news. Third, the study investigates how news usage behaviors (e.g., news curation, news snacking, and verification engagement) may serve as potential user-driven counter strategies against news avoidance. We find evidence for the conceptual differences. Only small shares of news non-attendance are explained by avoidance motivations. Especially news curation and verification engagement can mitigate common drivers of news avoidance, while news snacking reinforces them.