Review: A first Instagram dataset on COVID-19

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Review: A first Instagram dataset on COVID-19

Review: A first Instagram dataset on COVID-19

This article presents the first Instagram dataset on COVID-19 for research purposes.

Social media is a vital tool for disseminating public health information during the COVID-19 pandemic. Although much research has assessed the textual (mis)information on Twitter, a gap exists in exploring image content, particularly on Instagram. Therefore, a COVID-19 Instagram dataset has been created and is available for the research community. Researchers can explore information flow and its effects as well as individual and community behavioral changes among other areas. Potential topics to be explored with this dataset include:

  • Fake news, misinformation, and rumors spreading
  • Bot population and bot-generated content
  • Behavioral change analysis during the pandemic
  • Information sharing related to COVID-19
|2020-05-05T10:05:16-04:00May 5th, 2020|COVID-19 Literature|0 Comments

About the Author: Maria Brann

Maria Brann
Dr. Maria Brann, PhD, MPH, is a professor in the Department of Communication Studies in the School of Liberal Arts at IUPUI and affiliate faculty with the Injury Control Research Center at West Virginia University. She explores the integration of health, interpersonal, and gender communication. Her translational focus and mixed methods approach are woven throughout her health vulnerabilities research, which advocates for more effective communication to improve people’s health and safety. Her primary research interests focus on the study of women’s and ethical issues in health communication contexts and promotion of healthy lifestyle behaviors to improve personal and public health and safety. She researches communication at both the micro and macro levels and studies how communication influences relationships among individuals and with the social world.

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