Armed groups of civilians known as "self-defense forces" have ousted the powerful Knights Templar drug cartel from several towns in Michoacan. This militia uprising has unfolded on social media, particularly in the "VXM" ("Valor por Michoacan," Spanish for "Courage for Michoacan") Facebook page, gathering more than 170,000 fans. Previous work on the Drug War has documented the use of social media for real-time reports of violent clashes. However, VXM goes one step further by taking on a pro-militia propagandist role, engaging in two-way communication with its audience. This paper presents a descriptive analysis of VXM and its audience. We examined nine months of posts, from VXM's inception until May 2014, totaling 6,000 posts by VXM administrators and more than 108,000 comments from its audience. We describe the main conversation themes, post frequency and relationships with offline events and public figures. We also characterize the behavior of VXM's most active audience members. Our work illustrates VXM's online mobilization strategies, and how its audience takes part in defining the narrative of this armed conflict. We conclude by discussing possible applications of our findings for the design of future communication technologies.
We position our work within the area of social computing and collective action, particularly focusing on social movements. Social movements are defined as organized collective activities which take place outside political structures, but that attempt to transform existing political, economic, or societ al structures @cite_43 . Militias are considered a type of social movement @cite_12 .
@cite_43 @cite_12
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Social movements rely in large measure on networked communication technologies to organize and disseminate information relating to the movements’ objectives. In this work we seek to understand how the goals and needs of a protest movement are reflected in the geographic patterns of its communication network, and how these patterns differ from those of stable political communication. To this end, we examine an online communication network reconstructed from over 600,000 tweets from a thirty-six week period covering the birth and maturation of the American anticapitalist movement, Occupy Wall Street. We find that, compared to a network of stable domestic political communication, the Occupy Wall Street network exhibits higher levels of locality and a hub and spoke structure, in which the majority of non-local attention is allocated to high-profile locations such as New York, California, and Washington D.C. Moreover, we observe that information flows across state boundaries are more likely to contain framing language and references to the media, while communication among individuals in the same state is more likely to reference protest action and specific places and times. Tying these results to social movement theory, we propose that these features reflect the movement’s efforts to mobilize resources at the local level and to develop narrative frames that reinforce collective purpose at the national level. By lowering the costs of communication, the web promises to enable distributed collectives to act around shared issues. However, many collective action efforts never succeed: while the web's affordances make it easy to gather, these same decentralizing characteristics impede any focus towards action. In this paper, we study challenges to collective action efforts through the lens of online labor by engaging with Amazon Mechanical Turk workers. Through a year of ethnographic fieldwork, we sought to understand online workers' unique barriers to collective action. We then created Dynamo, a platform to support the Mechanical Turk community in forming publics around issues and then mobilizing. We found that collective action publics tread a precariously narrow path between the twin perils of stalling and friction, balancing with each step between losing momentum and flaring into acrimony. However, specially structured labor to maintain efforts' forward motion can help such publics take action. CSCW systems are playing an increasing role in activism. How can new communications technologies support social movements? The possibilities are intriguing, but as yet not fully understood. One key technique traditionally leveraged by social movements is storytelling. In this paper, we examine the use of collective storytelling online in the context of a social movement organization called Hollaback, an organization working to stop street harassment. Can sharing a story of experienced harassment really make a difference to an individual or a community? Using Emancipatory Action Research and qualitative methods, we interviewed people who contributed stories of harassment online. We found that sharing stories shifted participants' cognitive and emotional orientation towards their experience. The theory of "framing" from social movement research explains the surprising power of this experience for Hollaback participants. We contribute a way of looking at activism online using social movement theory. Our work illustrates that technology can help crowd-sourced framing processes that have traditionally been done by social movement organizations. Dynamics of social systems are the result of the complex superposition of interactions taking place at different scales, ranging from the pairwise communications between individuals to the macroscopic evolutionary patterns of the full interaction graph. Social communities, namely groups of people originated by any spontaneous aggregation process, constitute the mid-ground between such two extremes. Groups are important constituents of social environments as they form the basis for people’s participation and engagement beyond their minute dyadic interactions. Communities in online social media have been studied widely in their static and evolutionary aspects, but only recently some attention has been devoted to the exploration of their nature. Besides the characterization of online communities along their spatio-temporal and activity features, the recent advancements in the emerging field of computational sociology have provided a new lens to study social aggregations along their social and topical dimensions. Using the online photo sharing community Flickr as a main running example, we survey some techniques that have been used to get a multi-faceted description of group types and we show that different types of groups impact on orthogonal interaction processes on the social graph, such as the diffusion of information along social ties. Our overview supports the intuition that a more nuanced description of groups could not only improve the understanding of the activity of the user base but can also foster a better interpretation of other phenomena occurring on social graphs.