In the final two months of the 2020 US election, we conducted eight panel experiments to evaluate the immediate and medium-term effects of misinformation and factual corrections. Our results corroborate four sets of existing findings: fact-checks reliably improve factual accuracy, while misinformation degrades it; effects of fact-checks on belief accuracy endure, though they fade with time; effects on attitudes are minuscule; and there are important partisan asymmetries. We also offer one new empirical finding suggesting that effect heterogeneities by personality type and cognitive style may reflect attention paid to treatments. Our study confirms that the fundamental push and pull of misinformation and factual corrections on political beliefs holds even in electoral settings as saturated with mistruths as the 2020 US election.

This letter explores the prevalence of misperceptions about refugee policy and tests whether correcting these misperceptions changes attitudes toward refugees. Large numbers of people hold misperceptions about both the nature and effects of refugee policy. An experiment directly compares the effects of correcting misperceptions about existing refugee policy (e.g., the refugee admission process) with correcting misperceptions about the outcomes of refugee policy (e.g., the proportion of refugees in the United States and the percentage who receive welfare benefits). Corrective information about existing policy substantially increases support for refugees, but corrective information about policy outcomes has no effect on attitudes. The results suggest that including descriptive information about existing U.S. policy in media coverage of refugees could both correct misperceptions and change attitudes.

Political scientists rely heavily on survey research to gain insights into public attitudes and behaviors. Over the past decade, survey data collection has moved away from personal face-to-face and telephone interviewing towards a model of computer-assisted self-interviewing. A hallmark of many online surveys is the prominent display of the survey’s sponsor, most often an academic institution, in the initial consent form and/or on the survey website itself. It is an open question whether these displays of academic survey sponsorship could increase total survey error. We measure the extent to which sponsorship (by a university or marketing firm) affects data quality, including satisficing behavior, demand characteristics, and socially desirable responding. In addition, we examine whether sponsor effects vary depending on the participant’s experience with online surveys. Overall, we find no evidence that response quality is affected by survey sponsor or by past survey experience.