Information Exposure and Information Overload as Antecedents of Crisis Communicative Responses and Coping: A Cross-Country Comparison

This study examines information exposure as the antecedent of different types of crisis response outcomes as well as the moderating influence of message quality and information overload in the context of the COVID-19 pandemic. Given that the pandemic has impacted the countries worldwide, we conducted a cross-country, two-wave survey in the United States and Taiwan. The results identified three types of media users based on their differential patterns of crisis information exposure—selective users, inclusive users, and cravers. Compared to selective users, inclusive users and cravers were more likely to engage in different types of communicative responses (i.e., information seeking and sharing, and information sharing without verification [ISWV]), which then helped them with support-seeking coping. In addition, information overload was the condition that influenced the extent to which inclusive users engaged in information seeking and sharing, and the subsequent coping. Cross-country differences were found such that information overload and ISWV played important roles in influencing crisis outcomes in the United States and Taiwan, respectively.

[1]  Qing Huang,et al.  Perceived Information Overload and Unverified Information Sharing on WeChat Amid the COVID-19 Pandemic: A Moderated Mediation Model of Anxiety and Perceived Herd , 2022, Frontiers in Psychology.

[2]  Lucinda L. Austin,et al.  Coping with outbreaks: Toward an infectious disease threat (IDT) appraisal model for risk communication , 2021, Health communication.

[3]  S. Tsang,et al.  Self‐protection by fact‐checking: How pandemic information seeking and verifying affect preventive behaviours , 2021, Journal of Contingencies and Crisis Management.

[4]  Chih‐Hui Lai,et al.  Disaster communication behaviors in the U.S. and China: which channels do you use and with whom? , 2021 .

[5]  Louisa Ha,et al.  Mapping Recent Development in Scholarship on Fake News and Misinformation, 2008 to 2017: Disciplinary Contribution, Topics, and Impact , 2021, American Behavioral Scientist.

[6]  Yan Jin,et al.  Information vetting as a key component in social-mediated crisis communication: An exploratory study to examine the initial conceptualization , 2020, Public Relations Review.

[7]  D. Brossard,et al.  Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19 , 2020, Journal of Risk Research.

[8]  Seo Yoon Lee,et al.  The Effects of Social Media Use on Preventive Behaviors during Infectious Disease Outbreaks: The Mediating Role of Self-relevant Emotions and Public Risk Perception , 2020, Health communication.

[9]  Michael J. Egnoto,et al.  How publics’ active and passive communicative behaviors affect their tornado responses: An integration of STOPS and SMCC , 2019, Public Relations Review.

[10]  Mihye Seo,et al.  Amplifying Panic and Facilitating Prevention: Multifaceted Effects of Traditional and Social Media Use During the 2015 MERS Crisis in South Korea , 2019, Journalism & Mass Communication Quarterly.

[11]  C. S. Park Does Too Much News on Social Media Discourage News Seeking? Mediating Role of News Efficacy Between Perceived News Overload and News Avoidance on Social Media , 2019, Social Media + Society.

[12]  B. Reber,et al.  The state of crisis communication research and education through the lens of crisis scholars: An international Delphi study , 2019, Public Relations Review.

[13]  Hideo Joho,et al.  An analysis of natural disaster‐related information‐seeking behavior using temporal stages , 2018, J. Assoc. Inf. Sci. Technol..

[14]  Hamilton Bean,et al.  Milling and Public Warnings , 2018 .

[15]  Yang Jianzhou,et al.  Consumers' online information adoption behavior: Motives and antecedents of electronic word of mouth communications , 2018, Comput. Hum. Behav..

[16]  P. Schulz,et al.  Investigating the Effects of Mass Media Exposure on the Uptake of Preventive Measures by Hong Kong Residents during the 2015 MERS Outbreak: The Mediating Role of Interpersonal Communication and the Perception of Concern , 2018, Journal of health communication.

[17]  M. Brinton,et al.  One Egalitarianism or Several? Two Decades of Gender-Role Attitude Change in Europe , 2017, American Journal of Sociology.

[18]  Yan Jin,et al.  Social Media Use During Disasters , 2016, Commun. Res..

[19]  Joseph N. Cappella,et al.  Selection and Transmission Processes for Information in the Emerging Media Environment: Psychological Motives and Message Characteristics , 2015, Media psychology.

[20]  Erich J. Sommerfeldt Disasters and Information Source Repertoires: Information Seeking and Information Sufficiency in Postearthquake Haiti , 2015 .

[21]  Brooke Fisher Liu,et al.  How Disaster Information Form, Source, Type, and Prior Disaster Exposure Affect Public Outcomes: Jumping on the Social Media Bandwagon? , 2015 .

[22]  LeeAnn Kahlor,et al.  A United States-China Comparison of Risk Information–Seeking Intentions , 2014, Commun. Res..

[23]  A. Holton,et al.  News and the Overloaded Consumer: Factors Influencing Information Overload Among News Consumers , 2012, Cyberpsychology Behav. Soc. Netw..

[24]  Lucinda L. Austin,et al.  How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model , 2012 .

[25]  Azi Lev-On,et al.  Communication, community, crisis: Mapping uses and gratifications in the contemporary media environment , 2012, New Media Soc..

[26]  V. Freimuth,et al.  Theory-Based Approaches to Understanding Public Emergency Preparedness: Implications for Effective Health and Risk Communication , 2010, Journal of health communication.

[27]  Yan Jin,et al.  Making Sense Sensibly in Crisis Communication: How Publics' Crisis Appraisals Influence Their Negative Emotions, Coping Strategy Preferences, and Crisis Response Acceptance , 2010, Commun. Res..

[28]  Steven M. Edwards,et al.  Culture, Attitudes, and Media Patterns in China, Taiwan, and the U.S.: Balancing Standardization and Localization Decisions , 2008 .

[29]  A. Duhachek,et al.  Coping: A Multidimensional, Hierarchical Framework of Responses to Stressful Consumption Episodes , 2005 .

[30]  S. Dunwoody,et al.  Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. , 1999, Environmental research.

[31]  D. Mileti,et al.  The Causal Sequence of Risk Communication in the Parkfield Earthquake Prediction Experiment , 1992 .

[32]  C. Carver,et al.  Assessing coping strategies: a theoretically based approach. , 1989, Journal of personality and social psychology.

[33]  Tiffany C. Veinot,et al.  Interactive acquisition and sharing: Understanding the dynamics of HIV/AIDS information networks , 2009, J. Assoc. Inf. Sci. Technol..