The Scared, the Outraged, and the Anxious: How Crisis Emotions, Involvement, and Demographics Predict Publics’ Conative Coping

Jin, Yan; Fraustino, Julia Daisy; Liu, Brooke Fisher

doi:10.1080/1553118x.2016.1160401

Cited by 95 publications

(75 citation statements)

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“…The aim is to identify the effects of corrective information type (factual elaboration vs. simple rebuttal) and source (government health agency vs. news media vs. social peers) on individuals' cognitive, affective, and behavioral responses to corrective information, after initial misinformation exposure. As crises are by definition emotional events, the role crisis emotions play warrants further examination in misinformation research related to public health crises (e.g., Jin et al, 2016;Liu & Kim, 2011;Tan et al, 2015). Therefore, the mediating mechanisms of emotions are further included in this study, contributing to understanding the psychological process of how corrective information exerts influences on individuals' beliefs and behavioral intentions.…”

Section: Introductionmentioning

confidence: 99%

Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source

Meer

Jin

2019

Health Communication

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117

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An increasing lack of information truthfulness has become a fundamental challenge to communications. Insights into how to debunk this type of misinformation can especially be crucial for public health crises. To identify corrective information strategies that increase awareness and trigger actions during infectious disease outbreaks, an online experiment (N = 700) was conducted, using a U.S. sample. After initial misinformation exposure, participants' exposure to corrective information type (simple rebuttal vs. factual elaboration) and source (government health agency vs. news media vs. social peer) was varied, including a control group without corrective information. Results show that, if corrective information is present rather than absent, incorrect beliefs based on misinformation are debunked and the exposure to factual elaboration, compared to simple rebuttal, stimulates intentions to take protective actions. Moreover, government agency and news media sources are found to be more successful in improving belief accuracy compared to social peers. The observed mediating role of crisis emotions reveals the mechanism underlying the effects of corrective information. The findings contribute to misinformation research by providing a formula for correcting the increasing spread of misinformation in times of crisis.

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Section: Introductionmentioning

confidence: 99%

Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source

Meer

Jin

2019

Health Communication

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250

117

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“…The implications of pioneering studies in crisis communication are twofold. First, information seeking and sharing are two constructs composed of multiple actions taken by publics that need to be assessed at the behavioral level (Jin et al, 2016;. Second, to comprehensively capture publics' CISS actions, researchers should not only include channels and platforms of crisis information but also consider the ownership or source of different online channels and platforms (Jin et al, 2016;.…”

Section: Ciss Theoretical Frameworkmentioning

confidence: 99%

“…First, information seeking and sharing are two constructs composed of multiple actions taken by publics that need to be assessed at the behavioral level (Jin et al, 2016;. Second, to comprehensively capture publics' CISS actions, researchers should not only include channels and platforms of crisis information but also consider the ownership or source of different online channels and platforms (Jin et al, 2016;. However, existing studies have only used hypothetical terrorist attack cases to examine publics' information seeking and sharing behaviors and only examined two social media platforms (i.e., Facebook and Twitter).…”

Section: Ciss Theoretical Frameworkmentioning

confidence: 99%

“…Based on existing literature of crisis information seeking and information sharing in SMCC (Austin et al, 2012;Jin et al, 2016;Liu et al, 2013;Liu, Fraustino et al, 2016), a 12-item scale of social-mediated crisis information seeking and a 21-item scale of social-mediated crisis information sharing (CISS) in public health crisis were generated (see Appendixes A and B).…”

Section: Initial Ciss Items and Proceduresmentioning

confidence: 99%

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2019

JICRCR

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Risk and crisis communication are growing areas of scholarship ripe for multidisciplinary contributions. In this essay, the Volume 2 editor re ects on the primary purpose of the Journal of International Crisis and Risk Communication Research and the areas of scholarship the journal promotes. The editor o ers advice for researchers and professionals interested in publishing in the journal. Additionally, the editor calls for the community to continue to submit their best research and to support the development of the next generation of risk and crisis communication scholars.

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“…Twitter [79]. RQ3 then identifies which specific artifacts are most affected by these events; e.g., significant increases in retweets might indicate higher information sharing as Twitter users rebroadcast information to their followers or join the conversation.…”

Section: Twitter Behavioral Analysismentioning

confidence: 99%

Discovering Credible Events in Near Real Time from Social Media Streams

Buntain

2015

Proceedings of the 24th International Conference on World Wide Web

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Recent reliance on social media platforms as major sources of news and information, both for journalists and the larger population and especially during times of crisis, motivate the need for better methods of identifying and tracking high-impact events in these social media streams. Social media's volume, velocity, and democratization of information (leading to limited quality controls) complicate rapid discovery of these events and one's ability to trust the content posted about these events. This dissertation addresses these complications in four stages, using Twitter as a model social platform. The first stage analyzes Twitter's response to major crises, specifically terrorist attacks in Western countries, showing these high-impact events do not significantly impact message or user volume. Instead, these events drive changes in Twitter's topic distribution, with conversation, retweets, and hashtags relevant to these events experiencing significant, rapid, and short-lived bursts in frequency.Furthermore, conversation participants tend to prefer information from local authorities/organizations/media over national or international sources, with accounts for local police or local newspapers often emerging as central in the networks of interaction. Building on these results, the second stage in this dissertation presents and evaluates a set of features that capture these topical bursts associated with crises by modeling bursts in frequency for individual tokens in the Twitter stream. The resulting streaming algorithm is capable of discovering notable moments across a series of major sports competitions using Twitter's public stream without relying on domain-or language-specific information or models. Furthermore, results demonstrate models trained on sporting competition data perform well when transferred to earthquake identification. This streaming algorithm is then extended in this dissertation's third stage to support real-time event tracking and summarization. This real-time algorithm leverages new distributed processing technology to operate at scale and is evaluated against a collection of other community-developed information retrieval systems, where it performs comparably. Further experiments also show this real-time burst detection algorithm can be integrated with these other information retrieval systems to increase overall performance. The final stage then investigates automated methods for evaluating credibility in social media streams by leveraging two existing data sets. These two data sets measure different types of credibility (veracity versus perception), and results show veracity is negatively correlated with the amount of disagreement in and length of a conversation, and perceptions of credibility are influenced by the amount of links to other pages, shared media about the event, and the number of verified users participating in the discussion. Contributions made across these four stages are then usable in the relatively new fields of computational journalism and crisis informatics, which seek ...

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The Scared, the Outraged, and the Anxious: How Crisis Emotions, Involvement, and Demographics Predict Publics’ Conative Coping

Cited by 95 publications

References 56 publications

Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source

Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source

Untitled

Discovering Credible Events in Near Real Time from Social Media Streams

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