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Expressions of risk awareness and concern through Twitter: On the utility of using the medium as an indication of audience needs
14 references·16 citing·44 second hop
Expressions of risk awareness and concern through Twitter: On the utility of using the medium as an indication of audience needs (2014)Expressions of risk awareness and concern…Content Analysis: An Introduction to Its Methodology (2019)Content Analysis: An Introduc…Variability in Twitter Content Across the Stages of a Natural Disaster: Implications for Crisis Communication (2015)Variability in Twitter Conten…Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt (2012)Affective News and Networked …Crisis Communication, Race, and Natural Disasters (2007)Crisis Communication, Race, a…Importance of adult literacy in understanding health disparities (2006)Importance of adult literacy …Age, anger regulation and well-being (2006)Age, anger regulation and wel…Crisis and Emergency Risk Communication (2005)Crisis and Emergency Risk Com…Crisis and Emergency Risk Communication as an Integrative Model (2005)Crisis and Emergency Risk Com…Beyond valence: Toward a model of emotion-specific influences on judgement and choice (2000)Beyond valence: Toward a mode…Race, Ethnicity and Disasters in the United States: A Review of the Literature (1999)Race, Ethnicity and Disasters…The Multiple Affective Outcomes of AIDS PSAs (1996)The Multiple Affective Outcom…Content Analysis: An Introduction to its Methodology. (1984)Content Analysis: An Introduc…Affect, generalization, and the perception of risk. (1983)Affect, generalization, and t…Krippendorff, Klaus, Content Analysis: An Introduction to its Methodology . Beverly Hills, CA: Sage, 1980. (1980)Krippendorff, Klaus, Content …Crisis Informatics in the Context of Social Media Crisis Communication: Theoretical Models, Taxonomy, and Open Issues (2020)Crisis Informatics in the Con…Using a combination of human insights and ‘deep learning’ for real-time disaster communication (2019)Using a combination of human …Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak (2019)Unraveling Public Health Cris…Mining Twitter Data for Improved Understanding of Disaster Resilience (2018)Mining Twitter Data for Impro…Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study (2018)Feasibility study of using cr…Content features of tweets for effective communication during disasters: A media synchronicity theory perspective (2018)Content features of tweets fo…Social media analytics for natural disaster management (2017)Social media analytics for na…Social media and credibility indicators: The effect of influence cues (2016)Social media and credibility …Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns (2016)Public health implications of…Crisis and Emergency Risk Messaging in Mass Media News Stories: Is the Public Getting the Information They Need to Protect Their Health? (2016)Crisis and Emergency Risk Mes…A State of Emergency in Crisis Communication an Intercultural Crisis Communication Research Agenda (2016)A State of Emergency in Crisi…WEB 2.0: How social media applications leverage nonprofit responses during a wildfire crisis (2015)WEB 2.0: How social media app…Social media and crisis research: Data collection and directions (2015)Social media and crisis resea…A network analysis of official Twitter accounts during the West Virginia water crisis (2015)A network analysis of officia…A community-based approach to sharing knowledge before, during, and after crisis events: A case study from Thailand (2015)A community-based approach to…Twitter Use During a Weather Event: Comparing Content Associated with Localized and Nonlocalized Hashtags (2014)Twitter Use During a Weather …Availability: A heuristic for judging frequency and probability (1973)Judgment under Uncertainty: Heuristics and Biases (1975)Feeling and thinking: Preferences need no inferences. 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References

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  • 2017

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Social media analytics for natural disaster management
314 cited
  • 2018Mining Twitter Data for Improved Understanding of Disaster Resilience229 cited
  • 2016Social media and credibility indicators: The effect of influence cues212 cited
  • 2018Feasibility study of using crowdsourcing to identify critical affected areas for rapid damage assessment: Hurricane Matthew case study119 cited
  • 2018Content features of tweets for effective communication during disasters: A media synchronicity theory perspective105 cited
  • 2016Public health implications of social media use during natural disasters, environmental disasters, and other environmental concerns97 cited
  • 2015Social media and crisis research: Data collection and directions93 cited
  • 2015A community-based approach to sharing knowledge before, during, and after crisis events: A case study from Thailand81 cited
  • 2015WEB 2.0: How social media applications leverage nonprofit responses during a wildfire crisis79 cited
  • 2020Crisis Informatics in the Context of Social Media Crisis Communication: Theoretical Models, Taxonomy, and Open Issues66 cited
  • 2019Using a combination of human insights and ‘deep learning’ for real-time disaster communication66 cited
  • 2015A network analysis of official Twitter accounts during the West Virginia water crisis64 cited
  • 2014Twitter Use During a Weather Event: Comparing Content Associated with Localized and Nonlocalized Hashtags63 cited
  • 2016Crisis and Emergency Risk Messaging in Mass Media News Stories: Is the Public Getting the Information They Need to Protect Their Health?60 cited
  • 2016A State of Emergency in Crisis Communication an Intercultural Crisis Communication Research Agenda57 cited
  • 2019Unraveling Public Health Crises Across Stages: Understanding Twitter Emotions and Message Types During the California Measles Outbreak53 cited