Version 2.0

Inoculating against an infodemic: microlearning interventions to address CoV misinformation

Hodson, Jaigris;Veletsianos, George

Description

The dataset was created as part of the CIHR-funded project, 'Inoculating against an infodemic: Microlearning interventions to address CoV misinformation'. This research examines digital misinformation flows pertaining to the 2020 COVID-19 pandemic for the purpose of developing educational interventions to reduce the spread of online misinformation. The dataset contains transcripts of 45 one-to-one, semi-structured interviews that were conducted in June/July 2020. These interviews were used to gather data about how Canadians engaged with COVID-19 information online. Two different sets of interview questions were used: 18 of the transcripts follow protocol A, and 27 follow protocol B. Both protocols asked the same initial questions about COVID-19 information habits. Protocol A then asked questions about interviewee-provided media samples, while protocol B asked questions about interviewer-provided media samples. Due to the sensitivity of the data this data set will only be available to vetted researchers upon request. To request access to the data, contact the lead author, Jaigris Hodson.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

88%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Borealis

License

Custom terms specific to this dataset

Assigned Domain

Subfield

Education

Field

Social Sciences

Domain

Social Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

Computer and Information ScienceSocial Sciencessocial media, information gathering,covid19, misinformation, Shared virtual environments

Normalization Factors

FT

44.23

CTw

1.00

MTw

1.00