All hands on deck to tweet #sandy: Networked governance of citizen coproduction in turbulent times

https://doi.org/10.1016/j.giq.2017.09.004Get rights and content

Highlights

  • Examines citizen co-production, information processing, and network governance theories and adaptive governance.

  • Conducted social network analyses of Twitter #sandy during the enfolding Hurricane Sandy crises in U.S.

  • Conducted case interview with New York City Fire Department, Social Media Director.

  • Evidence found for the role of networked citizen coproduction of multi-directional crisis communications.

  • Developed a framework for citizen coproduction of crisis communications in turbulent times.

Abstract

While citizens previously took a back seat to government, citizen coproduction of disaster risk communications through social media networks is emerging. We draw on information-processing, citizen coproduction, and networked governance theories to examine the governance and impact of networked interactions in the following question: When government's capacity in information-processing and communication is overwhelmed by unfolding disasters, how do government and citizens coproduce disaster risk communications? During the Hurricane Sandy, we collected 132,922 #sandy tweets to analyze the structure and networked interactions using social network analysis. We then conducted case study of the government's social media policy governance networks. Networked citizen interactions – their agility in voluntarily retweeting the government's #sandy tweets and tweeting their own messages – magnified the agility and reach of the government's #sandy disaster communications. Our case study indicates the criticality of social media policy governance networks in empowering the lead agencies and citizens to coproduce disaster communication public services.

Introduction

Over the last twenty years, the frequency, scale, and impact of extreme events (EEs) worldwide has sharply increased (Chatfield and Brajawidagda, 2014, Chatfield and Reddick, 2017, Chatfield et al., 2013, Coyle and Meier, 2009, Peek and Mileti, 2002, Scholl and Chatfield, 2014). EEs refer to natural or man-made hazards of exceptional and unthinkable magnitude (Harrald, 2006). In the course of an unfolding EE, ad-hoc timely information needs surge acutely and unpredictably for government, because their agile and adaptive responses to the enfolding EE are critical for public safety, political viability, and public trust in government. However, the recent EEs overwhelmed the government's capacity for processing information and delivering disaster risk communication services by a wide margin (Chatfield and Reddick, 2017, Scholl and Chatfield, 2014), which, in turn, impeded their agile, adaptive, coordinated and interoperable responses to the rapidly changing and unpredictable disaster situations (Chatfield and Reddick, 2017, Kapucu, 2008, Scholl and Chatfield, 2014).

Despite the criticality of the government's agile and adaptive response capacity in turbulent times, however, governments routinely face budgetary cuts and constraints (Brudney & England, 1983), which rule out costly solutions such as increasing government size and information technology (IT) infrastructure investment in the short run. In this paper, we explore networked coproduction during the response phase of the disaster management cycle as an alternative to increase the government capacity for information processing and disaster risk communications during EEs. Previously, coproduction was defined as voluntary and active citizen engagement and cooperation with government in the delivery of public services whose benefits may accrue to the entire community as a collective (Brudney and England, 1983, Whitaker, 1980). In this paper, we extend this extant definition towards networked coproduction by explicitly integrating government-steered social media networks and their potential positive network effects that may be accrued from network size and networked interactions among network actors: governments and citizens for enhanced coproduction.

The use of social media platforms by government and citizens in disaster risk communications has been accelerated across various disaster types and in different country contexts (Chatfield and Reddick, 2015, Chatfield and Reddick, 2017, Lin et al., 2016, Song et al., 2015, Tagliacozzo and Magni, 2017).

Despite the accelerating recent research on social media use in government for managing disaster risk communications, however, theory-driven empirical research on potential (enabling) roles of networked coproduction in the delivery of disaster risk communications in turbulent times is still lacking. Moreover, very few governments actively measure the impact of their social media networked interactions (Mergel, 2013). Furthermore, the U.S. local government use of social media policies to guide networked interactions still remains marginal and low (Bennett & Manoaran, 2017) and empirical research on government use of social media policies to guide networked disaster risk communications is lacking (Brajawidagda & Chatfield, 2016).

This research is motivated to reduce the gaps in the literature with regard to the potential enabling roles of social media policy governance networks and social media networked interactions on facilitating citizen coproduction of the delivery of public services in sensing and responding to enfolding EEs; namely disaster risk communications during the response phase which is the most time-critical phase of the disaster management cycle. We draw on public administration theory of citizen coproduction (Ferris, 1984, Whitaker, 1980), information processing theory (Galbraith, 1974, Galbraith, 2002), and networked governance (Eberhard et al., 2017, Janssen and van der Voort, 2016, Kellogg and Samanta, 2017, Ojo and Mellouli, 2016) and the literature on social media in government (Bennett and Manoaran, 2017, Wukich, 2016, Yuliana et al., 2017) to examine the following research question:

When government's capacity in information-processing and communication is overwhelmed by the scale and impact of unfolding extreme events, how do government and citizens coproduce the delivery of disaster risk communication public services?

In this paper, we examine this research question with our special focus on the role of social media policy governance networks and the impact of networked interactions on citizen coproduction of disaster risk communication public services in the context of Hurricane Sandy, which devastated the Northeastern United States in late October of 2012. When the Hurricane's devastating impact spread rapidly and widely, government agencies responsible for disaster response, citizens, and mass media voluntarily engaged in networked interactions using a specific hashtag, #sandy, for disaster risk communications. In this paper, we used mixed methods research methodology, which integrated the quantitative social network analysis method and the qualitative case study research method. We first used the trail of tweets with #sandy as the keyword to collect a total of 132,922 tweets exchanged during the unfolding Hurricane Sandy, from October 23, 2012 to November 10, 2012. We have applied the social network analysis theory and method (Marin and Wellman, 2011, Scott and Carrington, 2011) to analyze the Twitter social networks that were formed by government, citizens, and mass media through the use of #sandy. In the second phase of case study research we interviewed the lead agency that played an influential role in networked citizen coproduction.

The remainder of this paper is structured as follows: the next section presents our research background on Hurricane Sandy and extant framework for comprehensive disaster management cycle. The third section presents a literature review of information processing theory, citizen coproduction, networked governance and policy governance networks, and social media networks and positive network effects. Following this section, we describe the mixed methods research methodology: #sandy social networks, our first phase research: the tweet data collection using #sandy and social network analysis (SNA), and our second phase research: a single-site case study of the New York City government's social media policy governance networks and the New York Fire Department's use of #sandy during the Hurricane Sandy. Then, we detail the results of the analyses on the social media policy governance networks and networked interactions, followed by the discussion of citizen coproduction of public services in disaster risk communications during the unfolding EE. SNA results show that networked citizen interactions – their agility in voluntarily retweeting the government's #sandy tweets and tweeting their own messages – magnified the agility and reach of the government's #sandy disaster risk communications to the affected wider communities. This finding indicates the criticality of efficacy of social media policy networks in empowering the lead agencies and citizens in the coproduction of disaster risk communication public services.

Section snippets

Hurricane Sandy

In the fall of 2012, Hurricane Sandy devastated the Northeastern United States. As of October 29, 2012, the impacts of Hurricane Sandy (rated Category 1, down from the Category 2 earlier near the Caribbean) included a total of 160 human casualties in the U.S. alone and affected 24 states. Southern New York State and New Jersey were the most devastated areas, with US$42 billion for New York and US$29.4 billion for New Jersey in estimated damage cost.

The superstorm caused flooding of streets,

Organization theory of information processing

Organization theory of information processing holds that the greater the uncertainty of the decision task, the greater the amount of information that needs to be processed among decision makers in order to execute the decision-making task in an agile and adaptive manner (Galbraith, 1974). It is because the impact of environmental uncertainty limits the organizational capacity to preplan or to make decisions about operational actions in advance of their execution. So, if the decision task is not

Research methodology

The literature review has identified important knowledge gaps and the need to theoretically and empirically examine the role of social media policy governance networks and the impact of networked interactions on citizen coproduction of the delivery of disaster risk communication public services. Hence, we have raised the following research question:

When government's capacity in information-processing and communication is overwhelmed by the scale and impact of unfolding extreme events, how do

New York City's social media policy governance networks

The social media director (SMD) of FDNY strongly affirmed the critical role of social media in general and Twitter in particular for the government to deliver disaster risk communications during EEs, not only for FDNY but also for the New York City Mayor's Office, New York Police Department, and other government agencies involved in disaster management. SMD recalled that the New York City government had first become awareness of the benefits of social media in the aftermath of the Hurricane

Networked coproduction of the delivery of critical public services

Here we refer back to our initial research question: When government's capacity in information-processing and communication is overwhelmed by the scale and impact of unfolding extreme events, how do government and citizens coproduce the delivery of disaster risk communication public services? Our study through quantitative social network analysis of Twitter data and a case study analysis has provided evidence for the feasibility of networked coproduction of the delivery of critical public

Conclusion

Despite society's explosive social media use, very little has been written about how actually governments and citizens (can) coproduce disaster risk communications through the use of social media platforms in the aftermath of EE situations, and how strategically governments can realize the potential positive social-network benefits through citizen coproduction in the aftermath of EEs. This research was undertaken to examine the potential enabling effects of Twitter social networks on

Akemi Takeoka Chatfield, M.B.A. and Ph.D. in Business Administration (MIS & Management Sciences summa cum laude) from Texas Tech University in the U.S. Dr. Chatfield is director, E-Government & E-Governance Research Group and senior lecturer in Information Technology with the School of Computing and Information Technology within the Faculty of Engineering and Information Sciences at University of Wollongong in Australia. Her research interests include networked organizations, network technology

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    Akemi Takeoka Chatfield, M.B.A. and Ph.D. in Business Administration (MIS & Management Sciences summa cum laude) from Texas Tech University in the U.S. Dr. Chatfield is director, E-Government & E-Governance Research Group and senior lecturer in Information Technology with the School of Computing and Information Technology within the Faculty of Engineering and Information Sciences at University of Wollongong in Australia. Her research interests include networked organizations, network technology benefits realization, social media and government, social network analysis, big data analytics, open data policy, and cybersecurity in government. She published in Journal of Management Information Systems, European Journal of Information Systems, Journal of Information Systems Frontier, Communications of the ACM, Data Base, Information Technology for Development, International Journal of Electronic Governance, Electronic Journal of E-Government, International Journal of Public Administration in the Digital Age, Government Information Quarterly, Information Polity, Social Sciences Computer Review, and Journal of Homeland Security and Emergency Management.

    Christopher G. Reddick, Ph.D. in Political Science from University of Sheffield, U.K. Professor Reddick is Chair of the Department of Public Administration within the College of Public Policy at The University of Texas at San Antonio. He is Editor-in-Chief, International Journal of Public Administration in the Digital Age and Series Editor, Public Administration and Information Technology. His research interests include big data and big data analytics in government, citizen-centric e-governance, social media policy and use in government and open data policy. Professor Reddick published more than 85 journal articles and 10 books. He published in Public Administration Review, Government Information Quarterly, International Journal of E-Government, Transforming Government: People, Process and Policy, Information Polity, Social Sciences Computer Review, and Journal of Homeland Security and Emergency Management.

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