Abstract
In order to analyze why some online collective actions are successful, which dynamics operate in mobilizations without leaders and how social media shape collective action, Political Turbulence combines theories about collective attention, critical mass, tipping points, thresholds and personality effects, with big data and experimental evidence taken from different social networks sites. The research has a particular interest in the features of those who were quick to make tiny contributions in liking, posting or sharing on social media to support protests and collective actions and their role in making it scale up. They identify a model of democracy that encapsulates turbulence and proposes a new way of understanding pluralism as a chaotic system.
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