Informing crisis communication preparation and response through network analysis
Himelboim, I., Reber, B., & Jin, Y. (2016, April). Informing crisis communication preparation and response through network analysis: Social mediators and mediated content in airlines’ Twitter networks. Presentation at the meeting of the annual meeting of the International Network for Social Network Analysis (INSNA), Newport Beach, CA.
Abstract: To test and elaborate as necessary the Social-Mediated Crisis Communication (SMCC) model’s key publics classifications (Liu et al., 2012) and to provide practical insight to public identification for crisis communication planning and response, this study uses network analysis to first identify clustered publics in airline Twitter networks –direct social media followers that are centered around the organization and indirect social media followers that cannot be reached directly by the organization. Next, social mediators (Himelboim et al., 2014) that bridge organizations with their indirect publics and the type of content that tend to cross publics lines are identified and examined. In our analysis, social mediators and network clusters are classified according to the publics taxonomy of the SMCC model. Our findings suggest further elaborations and more in-depth identification of key publics in social-mediated crisis communication.
Abstract: Participants (N=88) in a two-condition (Facebook post information level: high vs. low) mixed factorial design took part in a laboratory experiment that utilized eye tracking to gauge what areas of the page in common news layouts attract viewers’ gaze, and whether this viewing amount of information about the story disclosed in the Facebook posts. […]
Bartosz WojdynskiCamila EspinaKate KeibJennifer MalsonHyejin BangYen-I Lee
A Social Networks Approach to Online Social Movement:
Abstract: The movement to free Al Jazeera journalists (#FreeAJStaff), imprisoned by Egyptian authorities, utilized Twitter over almost two years, between 2014 and 2015. This study applied a social networks approach to study patterns of information flow, social mediators, and clusters, formed by the #FreeAJStaff movement on Twitter.Analysis of 22 months of data found social mediators […]