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FACT FOCUS: Misinformation About Voting Spreads Less than a Week Before Election Day
Officials say most viral vote-flipping complaints are user error or miscalibration, and election workers say ballot-envelope holes are an accessibility feature.
- With Election Day less than a week away, election officials are addressing viral online claims regarding the voting process, emphasizing that standard procedures like ballot holes and poll worker marks are not evidence of rigging.
- Simone Seydoux, spokesperson for the Ventura County Clerk-Recorder & Registrar of Voters, explained that return envelope holes serve as accessibility guides for vision-impaired voters and allow workers to confirm ballots have been removed.
- David Becker, executive director of the Center for Election Innovation and Research, stated that touchscreen 'vote flipping' reports almost always stem from user error or screen miscalibration, which voters can address by reviewing selections before submission.
- Pamela Smith, CEO of Verified Voting, confirmed that poll workers marking ballots is standard procedure in many jurisdictions, advising voters to contact local election officials directly rather than relying on social media.
- Experts emphasize that voters should verify information through official sources rather than social media to avoid false narratives, as disinformation purveyors often exploit well-meaning concerns to undermine confidence in the voting process.
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26 Articles
26 Articles
The Toronto Star+24 Reposted by 24 other sources
FACT FOCUS: Misinformation about voting spreads less than a week before Election Day
False and misleading claims about the voting process are being spread online as voters cast their ballots in the 2026 midterms, with Election Day less than a week away.
·Toronto, Canada
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Less than a week after the mid-term elections in the United States, false and misleading claims about the voting process are circulated online, many of them related to alleged electoral manipulation or fraud.
·San Juan, United States
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Total News Sources26
Leaning Left11Leaning Right2Center12Last UpdatedBias Distribution48% Center
Bias Distribution
- 48% of the sources are Center
48% Center
L 44%
C 48%
Factuality
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