A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist
December 13, 2022 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Hendrik Heuer, Elena Leah Glassman
arXiv ID
2212.06696
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
30
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
During the COVID-19 pandemic, the World Health Organization provided a checklist to help people distinguish between accurate and misinformation. In controlled experiments in the United States and Germany, we investigated the utility of this ordered checklist and designed an interactive version to lower the cost of acting on checklist items. Across interventions, we observe non-trivial differences in participants' performance in distinguishing accurate and misinformation between the two countries and discuss some possible reasons that may predict the future helpfulness of the checklist in different environments. The checklist item that provides source labels was most frequently followed and was considered most helpful. Based on our empirical findings, we recommend practitioners focus on providing source labels rather than interventions that support readers performing their own fact-checks, even though this recommendation may be influenced by the WHO's chosen order. We discuss the complexity of providing such source labels and provide design recommendations.
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