Grants and Contracts Details
Description
Overview: Social media use by emergency management organizations has surged in the past
5 years, reflecting both the increasing use of social media technologies by the general population
and the potential for social media to facilitate key emergency response tasks. While "social media"
encompasses a diverse array of technologies and practices, particular interest has converged on
the practices and processes of short text message exchange - what we here call the "terse regime."
Though social media are an increasingly important fixture of the emergency management landscape,
the study of online communication in response to extreme events is still quite young and theory
development has lagged. In this project we propose to develop novel measurement techniques and
formal theoretical models for understanding the dynamics of online communicative behavior in the
terse regime.
The core questions to be addressed by this research include the following: 1. What governs the
allocation of attention of the online public to specificc organizations and messages during disaster,
and how does this affect retransmission of terse messages? 2. What governs the dynamics of organizations'
online terse-regime communications, and how does their behavior evolve in response to
hazard stimuli, public behavior, or their own interactions? 3. How does informal online response
vary across time and space in terms of both message production and message transmission? 4. How
can we better recognize, detect, and measure online communicative processes in response to hazard
events? To answer these questions, we pursue several linked activities, including: collection of a
systematic, baseline controlled longitudinal "backbone sample" of hazard-related communication
from a prominent micro-blogging site over a three-year period, supplemented by demographic and
other information on hazards, official warnings and alerts, and the impacted populations; collection
of detailed data on online communication by and interactions among organizations involved in
emergency response activities in a major US metropolitan area; development of agent-based and
other theory-driven models for terse message transmission, organizational interaction and communication
behavior, and allocation of attention to official communications online; and development of
novel techniques for measuring the public's online response to hazard events and for distinguishing
between responses generated by specific social processes or by particular sub-populations.
Intellectual Merit: This research has the potential to fundamentally transform our understanding
of and theoretical orientation to terse hazard communication processes at a particularly critical
time in the disaster life cycle, and revolutionize our methods for the study of organizational and
attentional dynamics online. It will also give us the unique opportunity to study the microdynamics
of organizational behavior at an early period in the institutionalization of a new technology.
Broader Impact: This research has the potential to transform our understanding of online
hazard communication in the terse regime, leading to methods and models that are transferable to
other terse messaging channels and that can lead to new technology design, messaging strategies,
and communication policy. Our findings will provide the empirical basis necessary to inform future
decision making on strategies to appropriately utilize social media for warnings and risk communication,
to understand networked patterns of communication among the public, and to predict
how organizations themselves will act in a distributed environment. Our findings will be communicated
to the practitioner community not only by presentations at practitioner-oriented meetings
and events, but also by the development (w/partners in San Francisco) of training materials for
the use of social media by emergency management agencies.
Status | Finished |
---|---|
Effective start/end date | 9/1/15 → 6/30/20 |
Funding
- National Science Foundation: $341,272.00
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