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We analyze information diffusion using empirical data that tracks online communication around two instances of mass political mobilization that took place in Spain in 2011 and 2012. We also analyze protest-related communications during the year that elapsed between those protests. We compare the global properties of the topological and dynamic networks through which communication took place, as well as local changes in network composition. We show that changes in network structure underlie aggregated differences on how information diffused: an increase in network hierarchy is accompanied by a reduction in the average size of cascades. The increasing hierarchy affects not only the underlying communication topology but also the more dynamic structure of information exchange ; the increase is especially noticeable amongst certain categories of nodes (or users). Our findings suggest that the relationship between the structure of networks and their function in diffusing information is not as straightforward as some theoretical models of diffusion in networks imply.

Online communication technologies have opened up a new world of research questions about how people form relationships, organize into groups and communities, and navigate the boundaries between public and private life. This handbook brings together research from a variety of disciplines that examine these questions through the lens of new data. The result is a new theoretical framework that capitalizes on the constantly pulsating signals of networked communication, and offers an innovative approach to the study of human behavior and opinion formation.

Communication technologies, including the Internet, social media, and countless online applications, create the infrastructure and interface through which many of our interactions take place today. This form of networked communication creates new questions about how we establish relationships, engage in public, build a sense of identity, and delimit the private domain. Digital technologies have also enabled new ways of observing the world; many of our daily interactions leave a digital trail that, if followed, can help us unravel the rhythms of social life and the complexity of the world we inhabit, including dynamics of change. The analysis of digital data requires partnerships across disciplinary boundaries that are still uncommon. This book bridges academic silos so that we can address the big puzzles that beat at the heart of social life in this networked age.

Healthy news consumption requires limited exposure to unreliable content and ideological diversity in the sources consumed. There are two challenges to this normative expectation: the prevalence of unreliable content online; and the prominence of misinformation within individual news diets. Here, we assess these challenges using an observational panel tracking the browsing behavior of N ≈ 140,000 individuals in the United States for 12 months (January–December 2018). Our results show that panelists who are exposed to misinformation consume more reliable news and from a more ideologically diverse range of sources. In other words, exposure to unreliable content is higher among the better informed. This association persists after we control for partisan leaning and consider inter- and intra-person variation. These findings highlight the tension between the positive and negative consequences of increased exposure to news content online.

This article explores the growth of online mobilizations using data from the indignados (outraged) movement in Spain, which emerged under the influence of the revolution in Egypt and as a precursor to the global Occupy mobilizations. The data track Twitter activity around the protests that took place in May 2011, which led to the formation of camp sites in dozens of cities all over the country and massive daily demonstrations during the week prior to the elections of May 22. We reconstruct the network of tens of thousands of users and monitor their message activity for a month (April 25, 2011, to May 25, 2011). Using both the structure of the network and levels of activity in message exchange, we identify four types of users and analyze their role in the growth of the protest. Drawing from theories of online activism and research on information diffusion in networks, this article centers on the following two questions: How does protest information spread in online networks? And how do different actors contribute to the growth of activity? The article aims to inform the theoretical debate on whether digital technologies are changing the logic of collective action and to provide evidence of how new media facilitates the emergence of massive offline mobilizations.