000			01889nam a22001577a 4500
999			_c518482 _d518482
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100			_aHouston, J. Brian, et al _929516
245			_aCovid-19 communication ecology: Visualizing communication resource connections during a public health emergency using network analysis
260			_aAmerican Behavioral Scientist
300			_a65(7), Jun, 2021: p.893-913
520			_aThe COVID-19 outbreak began in December 2019 and soon became a global pandemic, resulting in major public health consequences for countries across the world. As the COVID-19 outbreak evolved, individuals were challenged to understand the risk of COVID-19 and to identify ways to stay safe. This understanding was accomplished through COVID-19 communication ecologies that consist of interpersonal, organizational, and mediated communication resources. In the current study, we examine the U.S. COVID-19 communication ecology in September 2021. We introduce the communication ecology network (CEN) model, which posits that similar useful communication resources will cluster in a communication ecology, and we use network analysis for visualization of the ecology. Our results indicate a robust COVID-19 communication ecology. The most important communication resources in the ecology were partisan and organizational communication resources. We identify and discuss five clusters within the COVID-19 communication ecology and examine how use of each of these clusters is associated with belief in COVID-19 misinformation. Our use of network analysis illustrates benefits of this analytical approach to studying communication ecologies. – Reproduced
650			_aCommunication ecology network (CEN) model, Network analysis, COVID-19, Communication resources _927697
773			_aAmerican Behavioral Scientist
906			_aCOVID-19 (DISEASE)
942			_cAR