Sociodemographic and Psychosocial Profiles of Multi-Media Use for Risk Communication in the General Population.

Although disaster research has acknowledged the role of social media in crisis communication, the interplay of new (e.g., mobile apps) and traditional media (e.g., TV, radio) in public warnings has received less attention, particularly from the recipients' perspective. Therefore, we examined sociodemographic and psychosocial correlates of different types of media use (i.e., traditional, new, mixed) for receiving public warning messages in a population survey (N = 613, 63% female; Mage = 31.56 years). More than two-thirds (68%) reported mixed media use, with 20% relying on new media and 12% on traditional media. Traditional media users were older and reported lower levels of education, while new media users were significantly younger and reported lower trust toward traditional media (i.e., TV). Migrants were more likely to use new but not mixed media. In sum, most participants utilized a mixture of traditional and new media for warning purposes, which has implications for crisis communication. Though, vulnerable populations (e.g., older and less educated participants) mainly rely on traditional media, stressing the need for continued support. Thus, it is paramount to increasingly use mixed methods designs and concurrently examine multiple channels to reflect real-world warning practices and generate ecologically valid results.

Warning Messages in Crisis Communication: Risk Appraisal and Warning Compliance in Severe Weather, Violent Acts, and the COVID-19 Pandemic.

BACKGROUND: In crisis communication, warning messages are key to informing and galvanizing the public to prevent or mitigate damage. Therefore, this study examines how risk appraisal and individual characteristics influence the intention to comply with behavioral recommendations of a warning message regarding three hazard types: the COVID-19 pandemic, violent acts, and severe weather. METHODS: A cross-sectional survey examined 403 German participants from 18 to 89 years (M = 29.24; 72% female). Participants were allocated to one of three hazard types (COVID-19 pandemic, violent acts, severe weather) and presented with warning messages that were previously issued via an official warning app. Four components of risk appraisal-perceived severity (PS), anticipated negative emotions (AE), anticipatory worry (AW), and risk perception (RP)-were assessed before and after presenting the warning message. Path models were calculated to predict the intention to comply with the warning message, controlling for age, gender, and previous hazard experience. RESULTS: For the COVID-19 pandemic, higher age (ß = 0.18) predicted warning compliance (R 2 = 0.05). AE (ß = 0.20) predicted compliance in the case of violent acts (R 2 = 0.09). For severe weather, PS (ß = 0.28), age (ß = 0.29), and female gender (ß = 0.34) lead to higher compliance (R 2 = 0.27). Changes across risk appraisal components were not consistent, as some facets decreased after the receipt of a warning message. DISCUSSION: Risk appraisal has shown a marginal yet differential influence on warning message compliance in different types of hazards. Regarding the COVID-19 pandemic, the impact of sociodemographic factors on compliance should be studied more intensively. Moreover, integrating intermediary variables, such as self-efficacy, is necessary.

Social Distancing and Stigma: Association Between Compliance With Behavioral Recommendations, Risk Perception, and Stigmatizing Attitudes During the COVID-19 Outbreak.

Introduction: Following behavioral recommendations is key to successful containment of the COVID-19 pandemic. Therefore, it is important to identify causes and patterns of non-compliance in the population to further optimize risk and health communication. Methods: A total of 157 participants [80% female; mean age = 27.82 years (SD = 11.01)] were surveyed regarding their intention to comply with behavioral recommendations issued by the German government. Latent class analysis examined patterns of compliance, and subsequent multinomial logistic regression models tested sociodemographic (age, gender, country of origin, level of education, region, and number of persons per household) and psychosocial (knowledge about preventive behaviors, risk perception, stigmatizing attitudes) predictors. Results: Three latent classes were identified: high compliance (25%) with all recommendations; public compliance (51%), with high compliance regarding public but not personal behaviors; and low compliance (24%) with most recommendations. Compared to high compliance, low compliance was associated with male gender [relative risk ratio (RRR) = 0.08 (0.01; 0.85)], younger age [RRR = 0.72 (0.57; 0.93)], and lower public stigma [RRR = 0.21 (0.05; 0.88)]. Low compliers were also younger than public compliers [RRR = 0.76 (0.59; 0.98)]. Discussion: With 25% of the sample reporting full compliance, and 51% differing in terms of public and personal compliance, these findings challenge the sustainability of strict regulatory measures. Moreover, young males were most likely to express low compliance, stressing the need for selective health promotion efforts. Finally, the positive association between public stigma and compliance points to potential othering effects of stigma during a pandemic, but further longitudinal research is required to examine its impact on health and social processes throughout the pandemic.