2013
DOI: 10.1073/pnas.1216338110
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Limits of social mobilization

Abstract: The Internet and social media have enabled the mobilization of large crowds to achieve time-critical feats, ranging from mapping crises in real time, to organizing mass rallies, to conducting searchand-rescue operations over large geographies. Despite significant success, selection bias may lead to inflated expectations of the efficacy of social mobilization for these tasks. What are the limits of social mobilization, and how reliable is it in operating at these limits? We build on recent results on the spatio… Show more

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Cited by 50 publications
(38 citation statements)
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“…We used a tiered enrollment design, sending invitations to potential participants in 3 phases to study the relationship between the size of the HCP crowd and sustained use as reported in other social networks. 13 Using a cutoff of >3 visits per week to demarcate active periods of use, we saw during the initial phase of enrollment that 20 providers generated a total of 170 visits over 22 days (Figure 2A). The addition of 28 members (phase II, n 5 48 total) extended active use by 28 days, with a total of 476 page visits.…”
Section: Resultsmentioning
confidence: 99%
“…We used a tiered enrollment design, sending invitations to potential participants in 3 phases to study the relationship between the size of the HCP crowd and sustained use as reported in other social networks. 13 Using a cutoff of >3 visits per week to demarcate active periods of use, we saw during the initial phase of enrollment that 20 providers generated a total of 170 visits over 22 days (Figure 2A). The addition of 28 members (phase II, n 5 48 total) extended active use by 28 days, with a total of 476 page visits.…”
Section: Resultsmentioning
confidence: 99%
“…A subsequent study used high-resolution, data-driven simulations of recruitment dynamics to demonstrate that the outcome of the Red Balloon challenge is plausible without the presence of mass media, but lies at the limit of human capability, and requires all parameters to be at their empirical extremes (Rutherford et al 2013a). It also identified the role of population density and information overload in obscuring the target information.…”
Section: The Time-space Bottleneckmentioning
confidence: 96%
“…First, equating social mobilization with viral information propagation renders the phenomenon amenable to analysis using tools from epidemiology and public health. 9,24 However, this epidemiological perspective is only useful in a population with conducive socio-political incentives, that is, a society already "switched on." The second reason behind the emphasis on information virality is a phenomenon we may dub network measurability bias, which refers to the tendency to focus on processes that are easily observable within digital social networks (such as 'likes' and 're-tweets'), while neglecting key latent processes such as the ideological, cultural, and economic incentives of actors.…”
Section: Viewpoint Beyond Viralmentioning
confidence: 99%