Public Media Approach to Explore a Dual Gendered Leadership Model to Support Government COVID-19 Responses in Atlantic Canada

This project reviews media coverage through the examination of 86 news articles from the top three public media companies (CBC News, CTV News and the Globe and Mail) in Canada from January 23, 2020 to February 8, 2021. This examination analyzes how gender-inclusive science-political communication has supported effective provincial responses to COVID-19 in Atlantic Canada. This project argues that a dual-gender leadership model, at the political and grassroots levels, is effective by advancing community responses and encouraging policy driven by scientifically-based interventions to address COVID-19 in Atlantic Canada.

This dataset has been used to review gender and political communication associated with disaster and emergency management in response to the first and second waves of COVID-19 in Atlantic Canada. This data set would benefit those involved in research related to political and public health communication and gender within Canada’s top two news media outlets (CBC and CTV) and Canada’s largest newspaper (The Globe and Mail) during the first and second waves of the COVID-19 pandemic in Atlantic Canada. This dataset (1) includes hyper-links to media articles that contain summaries of political and public health messaging during the first and second waves of COVID-19 and (2) provides snapshots of key themes/words found in each news story, authorship, and details regarding whether the selected province utilized a dual-gendered leadership model (DG) or a male-only model (MO).

This dataset supports hazards and disaster researchers, practitioners, and policy decision-makers in Canada and beyond to explore the benefits of gender-inclusive scientific-political communication in Canada and to utilize the Canadian experience to strengthen their COVID-19 related governmental strategies. Scholars from other fields (e.g., sociology, management, political science, planning, public health, geography, international development studies, urban studies) may use this dataset to deeply examine the gender-related and disaster-focused issues in community-based interventions.