COVID-19 Online Prevalence of Emotions in Institutions Database (COPE-ID)

Authors

Megan Stubbs-Richardson PhD, Mississippi State UniversityFollow
Sujan Anreddy PhD, Mississippi State UniversityFollow
Ben Porter PhD, Mississippi State UniversityFollow

ORCID

Megan Stubbs-Richardson: https://orcid.org/0000-0001-8636-497X

Sujan Anreddy: https://orcid.org/0000-0003-3362-1332

Ben Porter: https://orcid.org/0000-0001-7515-5953

Alternative Title

COPE-ID - COVID-19 Online Prevalence of Emotions in Institutions Database

Abstract

Our team developed the COVID-19 Online Prevalence of Emotions in Institutions Database (COPE-ID) that captures and organizes online discussions of COVID-19 related to fear, anxiety, and social institutions so that the research community can address an array of research questions related to the COVID-19 pandemic. Using COVID-19 related keywords as our search criteria, we used Application Programming Interfaces and Python code to pull data from ten social media and forum platforms: 1) 4chan, 2) 8 kun, 3) Flickr, 4) Gab, 5) Mastodon, 6) Parler, 7) Reddit, 8) Tumblr, 9) Twitter, and 10) YouTube. Data collection date ranges include January 2020 to April 2021.

Publication Date

2022

Research Center

Social Science Research Center

Keywords

COVID-19, Emotions, Misinformation, Data Science, Health & Society

Disciplines

Computer Sciences | Data Science | Inequality and Stratification | Politics and Social Change | Psychology | Social and Behavioral Sciences | Social Policy | Sociology | Sociology of Culture

Recommended Citation

Stubbs-Richardson, M., Anreddy, S., & Porter, B. (2022, June 29). COVID-19 online prevalence of emotions in institutions database. COPE-ID. Copeid.ssrc.msstate.edu.