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The effects of unsubstantiated claims of voter fraud on confidence in elections

The effects of unsubstantiated claims of voter fraud on confidence in elections
The effects of unsubstantiated claims of voter fraud on confidence in elections
Political elites sometimes seek to delegitimize election results using unsubstantiated claims of fraud. Most recently, Donald Trump sought to overturn his loss in the 2020 US presidential election by falsely alleging widespread fraud. Our study provides new evidence demonstrating the corrosive effect of fraud claims like these on trust in the election system. Using a nationwide survey experiment conducted after the 2018 midterm elections – a time when many prominent Republicans also made unsubstantiated fraud claims – we show that exposure to claims of voter fraud reduces confidence in electoral integrity, though not support for democracy itself. The effects are concentrated among Republicans and Trump approvers. Worryingly, corrective messages from mainstream sources do not measurably reduce the damage these accusations inflict. These results suggest that unsubstantiated voter-fraud claims undermine confidence in elections, particularly when the claims are politically congenial, and that their effects cannot easily be mitigated by fact-checking.
2052-2630
34-49
Berlinski, Nicolas
82c6a216-2f1f-4153-84df-abec1a84a14f
Doyle, Margaret
a2b73b8f-88da-4744-935c-466ea14f5241
Guess, Andrew M.
5fcbd18c-f3bc-4a6a-9551-2d460cc66ad0
Levy, Gabrielle
55c63abe-a6e8-4e58-a260-5987672fce89
Lyons, Benjamin
562d35bb-6be0-4e08-8663-0cc28bfa0063
Montgomery, Jacob M.
3bf07194-bce8-4eca-8dfb-e559dcb255ba
Nyhan, Brendan
76e1ec80-0af5-432d-9dd6-f7e8237191e4
Reifler, Jason
426301a1-f90b-470d-a076-04a9d716c491
Berlinski, Nicolas
82c6a216-2f1f-4153-84df-abec1a84a14f
Doyle, Margaret
a2b73b8f-88da-4744-935c-466ea14f5241
Guess, Andrew M.
5fcbd18c-f3bc-4a6a-9551-2d460cc66ad0
Levy, Gabrielle
55c63abe-a6e8-4e58-a260-5987672fce89
Lyons, Benjamin
562d35bb-6be0-4e08-8663-0cc28bfa0063
Montgomery, Jacob M.
3bf07194-bce8-4eca-8dfb-e559dcb255ba
Nyhan, Brendan
76e1ec80-0af5-432d-9dd6-f7e8237191e4
Reifler, Jason
426301a1-f90b-470d-a076-04a9d716c491

Berlinski, Nicolas, Doyle, Margaret, Guess, Andrew M., Levy, Gabrielle, Lyons, Benjamin, Montgomery, Jacob M., Nyhan, Brendan and Reifler, Jason (2021) The effects of unsubstantiated claims of voter fraud on confidence in elections. Journal of Experimental Political Science, 10 (1), 34-49. (doi:10.1017/XPS.2021.18).

Record type: Article

Abstract

Political elites sometimes seek to delegitimize election results using unsubstantiated claims of fraud. Most recently, Donald Trump sought to overturn his loss in the 2020 US presidential election by falsely alleging widespread fraud. Our study provides new evidence demonstrating the corrosive effect of fraud claims like these on trust in the election system. Using a nationwide survey experiment conducted after the 2018 midterm elections – a time when many prominent Republicans also made unsubstantiated fraud claims – we show that exposure to claims of voter fraud reduces confidence in electoral integrity, though not support for democracy itself. The effects are concentrated among Republicans and Trump approvers. Worryingly, corrective messages from mainstream sources do not measurably reduce the damage these accusations inflict. These results suggest that unsubstantiated voter-fraud claims undermine confidence in elections, particularly when the claims are politically congenial, and that their effects cannot easily be mitigated by fact-checking.

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e-pub ahead of print date: 28 June 2021

Identifiers

Local EPrints ID: 501545
URI: http://eprints.soton.ac.uk/id/eprint/501545
ISSN: 2052-2630
PURE UUID: a17edb75-0c54-44a5-bb22-5a2bc33c905d
ORCID for Jason Reifler: ORCID iD orcid.org/0000-0002-1116-7346

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Date deposited: 03 Jun 2025 16:57
Last modified: 22 Aug 2025 02:43

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Contributors

Author: Nicolas Berlinski
Author: Margaret Doyle
Author: Andrew M. Guess
Author: Gabrielle Levy
Author: Benjamin Lyons
Author: Jacob M. Montgomery
Author: Brendan Nyhan
Author: Jason Reifler ORCID iD

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