Publications by authors named "Yamil Velez"
Social science experiments often expose participants to false, deceptive, or otherwise harmful content. In an effort to mitigate the effects of such content and to comply with regulatory standards, these studies usually conclude by "debriefing" participants about the content they encountered, on the assumption that doing so will eliminate the effects of exposure. We present evidence showing that this assumption is not always correct.
View Article and Find Full Text PDFArticle Synopsis
- - A new database has been created containing data on approximately 78,000 candidates from 57,000 local electoral contests in the U.S. over the past 30 years.
- - It covers seven different types of local political offices in medium and large cities and counties, providing a comprehensive public resource for understanding local elections.
- - The database includes detailed partisan and demographic information about candidates, along with election outcomes, enabling more research into representation and local government elections.
What can be done to reduce misperceptions about COVID-19 vaccines? We present results from experiments conducted simultaneously on YouGov samples in 10 countries ( = 10 600), which reveal that factual corrections consistently reduce false beliefs about vaccines. With results from these 10 countries, we find that exposure to corrections increases belief accuracy by 0.16 on a 4-point scale, while exposure to misinformation decreases belief accuracy by 0.
View Article and Find Full Text PDF