Consensus democracy among the main Chilean political forces ended abruptly after the 2013 presidential and parliamentary elections, the most polarized elections since the return to democracy in 1990. Relying on spatial voting theory to uncover latent ideological dimensions from survey data between 1990 and 2014, this study finds patterns of gradual polarization starting at least ten years before the collapse of consensus, based on an increasing demobilization of the political center that misaligned politicians from their political platforms (particularly in the center-left parties). That phenomenon changed the political support for the two main political coalitions and the intracoalition bargaining power of their various factions. The pattern also helps to explain the process behind the 2015 reform of the electoral system.
How does political discourse spread in digital networks? Can we empirically test if certain conceptual frames of social movements have a correlate on their online discussion networks? Through an analysis of the Twitter data from the Occupy movement, this paper describes the formation of political discourse over time. Building on a previous set of concepts -derived from theoretical discussions about the movement and its roots -we analyse the data to observe when those concepts start to appear within the networks, who are those Twitter users responsible for them, and what are the patterns through which those concepts spread. Preliminary evidence shows that, although there are some signs of opportunistic behaviour among activists, most of them are central nodes from the onset of the network, and shape the discussions across time. These central activists do not only start the conversations around given frames, but also sustain over time and become key members of the network. From here, we aim to provide a thorough account of the "travel" of political discourse, and the correlate of online conversational networks with theoretical accounts of the movement.
It has been found in a variety of face-to-face networks that diffusion of information, behaviors and sentiments extend up to two to four degrees of distance from the original source. This regularity has been popularized as the three degrees of influence phenomenon. Prior works have suggested a number of possible explanations to this pattern. In this paper, we study it in the context of an online network. We find similar results in this online setting to those already found offline. However, our approach suggests that two of the previously proposed explanations (increasing instability of connections at greater distances from the source and simple information decay) should not be central to explain the pattern
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