On July 30, 2020, the US President Donald Trump announced his plan to use executive orders or emergency economic powers to ban TikTok and disagreed with Microsoft’s acquisition of TikTok in the US. ByteDance, TikTok’s parent company, subsequently conducted several Chinese crisis communications on Toutiao — a platform owned by ByteDance that provides information to Chinese people. However, these announcements were reposted, sometimes rephrased or reformatted by third-party users on other Chinese social media platforms. These third-party users included both well-known influencers and general users. For example, the discussions became more salient on Sina Weibo, China’s largest online social media platform, than on any other platform, including Toutiao. Therefore, comparing crisis communications across different social media platforms is necessary. 50,702 data points were obtained for the entire dataset. Considering the efficiency of the manually labeled data, 8,793 data points were obtained after stratified random sampling of the dataset.

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A robust body of literature investigates mechanisms for improving risk communication because effective risk communication saves lives. While effective risk communication strategies are equally desired across different hazard domains (e.g., natural hazards, cyber security), the extent to which risk communication experts utilize the “lessons learned” from disciplines outside their own is suspect. Therefore, we hypothesized that risk communication research is siloed according to scientific disciplines at the detriment to the advancement of the field of risk communications research writ large. We test this hypothesis by evaluating the disciplinarity of 5,264 published papers using a combination of simple descriptive statistics, natural language processing, and hierarchical clustering. Finding that the risk communication research is siloed according to disciplinary lexicons, we present our findings as a call for convergence amongst our risk and crisis communication scholars to bridge across our disciplinary silos. In so doing, we will increase our ability to affect transformative change in the efficacy of our risk and crises messages. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

This page is attached to the NAPSG Foundation Hub site for Technology Innovation for Preparedness and Operations.The Crisis Communication Catalog (C3) is a new initiative being developed by the National Alliance for Public Safety GIS (NAPSG) Foundation with support from GISCorps and CEDR Digital Corps. The goal is to create a curated inventory of official public safety websites, alert applications, and social media pages encompassing the entirety of the United States, including Alaska, Hawaii, and the US Territories. This data will then be made available to the whole community at no cost. It may be utilized in public information maps, used to enrich existing data layers, or integrated into location-based mobile applications, all with the intent to guide the public to authoritative information during times of crisis. More information can be found on the C3 Hub page.

Along with digitalization, the brand voice has found an important role in branding. However, in the face of crisis, many brands fail to stick to their brand voice and use an impersonal tone. The purpose of this paper is to investigate a case of the airline industry that faced a backlash on Twitter for being outright racist and discriminatory. The qualitative and exploratory research design was applied based on content analysis of various media reports and Twitter tweets. Conclusions were drawn based on the inferences that revealed the brand voice and communication strategy in the organization’s tweets and leaders’ responses. This case study further discovers that the organizations need to align the brand voice with its original brand voice even during a crisis to maintain the brand image. This analysis thus helps in understanding the need of selecting an appropriate brand voice so that it can be used even during a crisis.

This is the online supplement for a study on crisis communication strategies that could be applied by local officials in situations such as the COVID-19 pandemic.

The crisis communication patterns of commercial organizations are generally guided by Situational Crisis Communication Theory (SCCT), but the impact of different crisis communication strategies for public messaging on COVID-19 has not been thoroughly examined. As such, we test how crisis communication strategies affect trust in mayors and the acceptance of behavioral measures, specifically regarding the buffering effect of a mayor’s pre-crisis reputation as well whether trust mediates the link between crisis communication strategies and acceptance of behavioral measures. A total of 561 participants (53% female; mean age 50 years) took part in our online experiment in which we systematically manipulated the mayor’s crisis communication strategy (deny vs. diminish, vs. rebuild, vs. bolstering, vs. no response) and pre-crisis reputation (good past crisis management, bad past crisis management). Age, gender and education served as covariates. In an exploratory analysis, we also tested the predictive power of personal concern regarding the COVID-19 pandemic as well as internal and external control convictions.

The study was approved by the ethics committee of the Faculty of Psychology & Sports Science of the University of Münster (ID 2020-57-MT) and pre-registered with Aspredicted.org (see https://aspredicted.org/blind.php?x=bw6cz7).

This online supplement includes

• a codebook describing all instructions and items
• raw data (anonymised) and analysis script (Note: The raw data contains only the information of persons who were included in the analysis and have agreed to it. Some demographic information was deleted to ensure anonymity.)

The Crisis Communication Catalog is a curated inventory of official public safety websites, alert websites, and social media pages for jurisdictions within the United States and its territories. This layer contains all counties and cities with a population of 100,000 people or more within, and bordering, the state of California. Individuals can use this feature layer to access links to authoritative data sources in their communities, and organizations can use the underlying data to enrich their own applications.Our goal is to create a nationwide map containing links to official public safety websites, alert websites, and social media pages for every county and large city in the United States.For more information about this project, visit the Crisis Communication Catalog Hub page.If you would like to contribute to this mission, visit our Experience Builder page. Submitted data will be validated by GISCorps volunteers and will be made public in 48 hours of data submission.Original Feature Layer.

Linguistic data (political speeches), annotation scheme and annotation results for the article "Political Speeches as a tool of Covid19 crisis management? Discursive and linguistic localization of the crisis in Central Europe and Western Balkans" authored by Martina Berrocal and Aleksandra Salamurović

Dashboard - Theorizing crisis communication - Book by Timothy L. Sellnow published 1 time between 2013 and 2013

While Twitter has grown popular among political leaders as a means of computer-mediated mass media communication alternative, the COVID-19 pandemic required new strategies for socio-political communication to handle such a crisis. Using the case of India, which was one of the worst-hit countries and is also the world’s largest democracy, this research explicates how political leaders responded to the COVID-19 crisis on Twitter during the first wave as it was the first time such a crisis occurred. Theoretical frameworks of discursive leadership and situational crisis communication theory have been used to analyze interactions based on the usage patterns, the content of communication, the extent of usage in relation to the severity of the crisis, and the possible role of leaders’ position along with the status of their political party. The sample consisted of tweets posted by six prominent political leaders in India across the four consecutive lockdown periods from 25th March to 31st May 2020. A total of 4,158 tweets were scrapped and after filtering for retweets, the final dataset consisted of 2,809 original tweets. Exploratory data analysis, sentiment analysis, and content analysis were conducted. It was found that the tweets had an overall positive sentiment, an important crisis management strategy. Four main themes emerged: crisis management information, strengthening followers’ resilience and trust, reputation management, and leaders’ proactiveness. By focusing on such discursive aspects of crisis management, the study comprehensively highlights how political interactions on twitter integrated with politics and governance to handle COVID-19 in India. The study has implications for the fields of digital media interaction, political communication, public relations, and crisis leadership.

RESCUES goal has been to develop knowledge-based models of crisis communication by exploring the use of social media in various cases. The research group at the Department of Journalism and Media Studies at OsloMet has collected data for RESCUE based on interviews with key communicators in Norway about the use of social media during and just after July 22, 2011, plus during the Ebola outbreak in 2014-15. We have identified strengths and weaknesses in usage patterns and assessment methods and produced data documenting views on how communicators can improve social media interaction in crisis situations.

For further information about ”Social Media Use in Crisis and Risk Communication. Emergencies, Concerns and Awareness, 2017”, please contact the principal investigator.

A University crisis is an event, often sudden or unexpected, that disrupts the normal operations of the institution or its educational mission, and threatens the well being of personnel, property, financial resources, and reputation.

This presentation focuses on the nature of how crisis leaders in Higher Education sector make meaning of the experience of managing organizational crises.

I. G. Matsoukas (2022). Crisis Leadership in Higher Education. QS Higher Ed Summit: Europe 2023 Conference. QS Quacquarelli Symonds. doi:10.17632/n848cr52zk.1

The questionnaire consists of 23 questions in six pages and includes five sections. The first section is to define the major demographic characteristics of the respondents such as age, gender, education, occupation, residency, besides the social media daily usage duration and the order of the media sources about Rohingya news. The second section was to explore the Rohingyas convictions about mobile apps usefulness and the perceptions about the potential implementations to interact with their crisis. Many mobile apps were designed to relieve the humanitarian crises and execute different functions such as Ushahidi, UNHCR Emergency Handbook, UNHCR Refugee Site Planning, Relief Web-Headlines, GPS coordinates converter, Relief Web-Crisis, Relief Web-Jobs, Relief Web-Crises Tablet, IOM Emergency Manual, Disaster alert, and Relief Central. The mobile apps provide many services that facilitate life for the distressed people and improve their conditions, such as enabling communication in time of crisis, allowing basic connectivity with family members, transferring cash and providing digital money, ensuring identity and eligibility for receiving aids e.g., barcode technology, accessing utilities (e.g., lighting) in case of service network failure, keeping in touch with the local and international news, Coordinating rescue and relief operations with relevant organizations. The sections from the third to the fifth are investigating the Rohingyas convictions and perceptions about using YouTube, Twitter, and Facebook. The social media networks can be used to accomplish many tasks that substantially foster the Rohingya capacities in relieving their crisis, such as creating global awareness about their issue, demonstrating their testimonies, correcting the potential misunderstanding about the historical reasons and developments of conflict, mobilizing the world public opinion to derive a supportive political decision, spreading love and peace values among world nations, and improve wellbeing and stamina for existence. All sections have open-ended questions to enable respondents adding comments, examples, and reasons for disagreement.

In response to the challenges of crisis management and communication in business digital scenarios (Umar et al. 2022; Catenaccio 2021), this case study presents an example of the evolution and implications of online crisis communication and discursive practices that combine human input and AI for the management of crisis events and trust repair. Reliability of communication in web-based business scenarios cannot be easily achieved because of the huge amount of data. In addition, reputation management and trust are constantly put under threat by misinformation and misunderstanding (Garzone, Giordano 2018). With a view to countering these risks, companies are increasingly outsourcing digital marketing services (Palttala et al. 2012) based on AI methods to analyse consumers' online needs and behaviour (Schwaiger et al. 2021), even though research has recently raised some concerns on the over-reliance on AI-based tools (Tam, Kim 2019). We intend to show how multimodal critical discourse studies (Djonov, Zhao 2014) can help identify and understand the potentials and limits of social media listening tools that are designed for crisis prediction and management (van Zoonen, van der Meer 2015). To do so, we present a case study that we engaged with during our research traineeship at Digital Trails, a B2B company dealing with online visibility, digital marketing and reputation analysis. In reporting the outcomes of online reputation analysis to gauge possible damages after a crisis event, we present the comparison between the AI-driven sentiment analysis (conducted via Meltwater) and the human-based revision and fine-tuning of AI-driven sentiment analysis. Our aim is to discuss the potentials and the criticalities of AI-driven sentiment detection. Among the latter, we highlight the unrecognizability of languages other than English, and the flaw in interpreting pragmatic aspects, as well as multimodal digital artefacts. Consistent with our findings, we argue that AI models, based on a unimodal and decontextualized architecture still require human validation. We conclude by indicating research directions for the detection of sentiment polarity, which include higher collaboration between IT developers and multimodal discourse analysts so that multimodally-informed models can assist crisis communication and management more efficiently.

This study attempted to further the literature by showing how crisis communication and social media share a common foundation in strategic communication management. A content analysis, along with insights from a social network analysis, was used to better understand not only how information diffused across a governmentally-centered Twitter network following the 2016 Brussels bombings, but how specific types of strategic digital content performed. A sample of 1,187 tweets suggested that emotionally-neutral tweets from government agencies functionally diffused better across the social network, while more sentimental tweets from politicians performed better in a reputation management context. Such findings contribute to the literature on communication, political science, and management scholarship by conceptually and empirically showing how interdisciplinary research can serve as a strategic bridge between a multitude of actors interested in crisis communication research and practice.

Amidst infectious disease outbreaks, such as COVID-19, social media is being used to strategically communicate throughout the progression of a public health crisis. The Crisis and Emergency Risk Communication (CERC) Model combines notions of crisis, risk, and outbreak communication throughout different stages of a crisis (Lwin et al., 2018; Reynolds, 2002; Reynolds & Seeger, 2005). This research investigates the ability to adapt the CERC Model to visual outbreak-related updates on Instagram. Instagram posts were collected from a state-level public health authority from March to December 2020 and analysed using a dual qualitative visual and textual analysis. Results suggested that Instagram was strategically used by public health authorities by integrating data visualizations into outbreak-related updates. Additionally, findings indicate that Instagram provides meaningful opportunities for health authorities to engage with their audiences during a public health crisis but underscores the importance of prompt engagement. Publics predominantly engaged in comments expressing shared citizen responsibility for slowing the spread, but the uncertainty associated with this crisis yielded several questions from the public where all inquiry comments were addressed by conspiratorial comments, rather than the public health authority. Limitations and future directions for applying the CERC Model to outbreak-related updates on Instagram are also discussed.

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SPSS data for analysis

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