
Exploring the nexus between digital media and citizens’ exposure to diverse political views is imperative for understanding contemporary democratic engagement. This study builds upon Mutz and Martin’s (2001) seminal research, integrating digital communication channels previously unexamined. Our findings suggest that the interpersonal character of media interactions, rather than the mere distinction between offline and online platforms, significantly influences the diversity of political views to which individuals are exposed. Contrary to the prevalent theories of “echo chambers” and “filter bubbles,” our analysis reveals a nuanced media landscape where digital platforms facilitate both homogeneous and heterogeneous political exposures, depending on their specific affordances. This study contributes to the political communication literature by offering a comprehensive overview of exposure dynamics in the digital age.
diverse political views, political discourse, echo chambers, Communication. Mass media, political communication, selective exposure, P87-96, filter bubbles
diverse political views, political discourse, echo chambers, Communication. Mass media, political communication, selective exposure, P87-96, filter bubbles
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
