Threats from Digital Media to Democracy
Researchers at the Max Planck Institute for Human Development, the Hertie school, and University of Bristol have conducted a systematic review of studies investigating whether and how digital media impacts citizens political behaviour. The empirical studies show that some effects may be benificial for democracy. For example, digital media can increase political knowledge and diversity of news exposure. However, they can also have detrimental effects, such as fostering polarization and populism.
What's more, the way effects such as increased political mobilization and decreasing trust in institutions play out depends largely on the political context. Such developments are benificial in emerging democracies but have destabilizing effects in established democracies. "the advantage of our systematic review against the background of a divisive and often partisan debate is that allows objective conclusions to be drawn", says author philipp Lorenz Spreen of the Max Planck Institute for Human Development. At the institute centre for Adaptive rationality, he studies how new technologies can help to promote participatory democracy online. While the impact of digital media can have several negative effects on political behaviour , he continues.
In their review, the researchers synthesize casual and correlational evidence from nearly 500 articles on the relationship between digital media and democracy worldwide. They structure their analysis along the 10 most researched political outcome variables: political participation, knowledge, trust, news exposure, political expression, hate, polarization, populism, network structure, and mis information. "When studying complex political and social phenomena, it is important to determine whether there is in fact a casual relationship" explains author Lisa Oswald from the Hertie School in Berlin. With this in mind, the reasearchers focused on the subset of articles reporting casual evidence of a relationship between digital media and democracy. These include large scale field experiments conducted on social media platforms and articles in which casual conclusions could be drawn due to factors such as data having been collected at different points in time.



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