Suchergebnisse

The massive diffusion of social media has produced disintermediation and it has changed the way in which users inform themselves and participate in public debate. On the other hand, users show a tendency to interact with information that adheres to personal choices and previous opinions. This propensity is "exploited" by algorithms that manage and sort communication on social media, increasingly producing a polarized audience. The essay shows the outcomes of these dynamics by focusing on the communications structure related to the pandemic. In this sense, social media constitute a risk because they convey out-of-control access to unreliable information and because they can result in the absence of correct information, if not in a problem for democracy. On the technical level, at least three complex reticular structures are identified that evolve following different directions, emerged from three sequentially monitored lemmas (no-mask, covid-19, greenpass). Further considerations concern the increasingly dense interweaving between online communication and the genesis of protest movements with evanescent, single-issue structures.

We use EVS-WVS data to test our hypothesis about the contextual dependence of cohesion in Europe. In particular, we apply Bayesian Networks to describe the emergence of Social Cohesion in different welfare models. The creation of different networks for each Welfare model aims at demonstrating that a different way to manage Social Policies creates different paths of Social Cohesion. Political participations, civil engagement and positive social ties are fundamental dimensions, producing Social Capital, while social cohesion requires further dimensions too, as the presence of structural dynamics (equity, granted public services) and the increase in satisfaction. The mechanisms detected are similar enough from different areas, with interesting specificities for Mediterranean, Social-Democratic and Post-communist models.