Inside Risks: The Risks of Election Believability (or Lack Thereof): With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results?
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| Title: | Inside Risks: The Risks of Election Believability (or Lack Thereof): With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results? |
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| Authors: | Mercuri, Rebecca T. mercuri@acm.org, Neumann, Peter G.1 neumann@csl.sri.com |
| Source: | Communications of the ACM. Jun2021, Vol. 64 Issue 6, p24-30. 7p. 1 Color Photograph. |
| Subjects: | Elections, Technological innovations, Public opinion, Voting, Internet security |
| Abstract: | The article discusses how the field of computer science and computer sciences can utilize technological innovations to improve the public's trust in the results of elections. It examines hacking, election forensics, and voting system testing mechanisms. The article also discusses the processes associated with election audits and recounts, oversight by the U.S. Cybersecurity and Infrastructure Agency (CISA), and cryptography. |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 150508503 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Inside Risks: The Risks of Election Believability (or Lack Thereof): With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mercuri%2C+Rebecca+T%2E%22">Mercuri, Rebecca T.</searchLink><i> mercuri@acm.org</i><br /><searchLink fieldCode="AR" term="%22Neumann%2C+Peter+G%2E%22">Neumann, Peter G.</searchLink><relatesTo>1</relatesTo><i> neumann@csl.sri.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Jun2021, Vol. 64 Issue 6, p24-30. 7p. 1 Color Photograph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Elections%22">Elections</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Voting%22">Voting</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+security%22">Internet security</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article discusses how the field of computer science and computer sciences can utilize technological innovations to improve the public's trust in the results of elections. It examines hacking, election forensics, and voting system testing mechanisms. The article also discusses the processes associated with election audits and recounts, oversight by the U.S. Cybersecurity and Infrastructure Agency (CISA), and cryptography. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=150508503 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3461464 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 24 Subjects: – SubjectFull: Elections Type: general – SubjectFull: Technological innovations Type: general – SubjectFull: Public opinion Type: general – SubjectFull: Voting Type: general – SubjectFull: Internet security Type: general Titles: – TitleFull: Inside Risks: The Risks of Election Believability (or Lack Thereof): With 90% of the 2020 U.S. general election ballot contents verifiable by paper, why do only 65% of voters trust the results? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mercuri, Rebecca T. – PersonEntity: Name: NameFull: Neumann, Peter G. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00010782 Numbering: – Type: volume Value: 64 – Type: issue Value: 6 Titles: – TitleFull: Communications of the ACM Type: main |
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