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Interactive Voice Recognition Communication in Electoral Politics

Exploratory Metadata Analysis

Bibliographic Data

ID3759561
AuthorsSpencer H Kimball (Emerson College, Boston, MA, USA), Spencer Kimball (0009-0005-3072-8742, Emerson College), Ting Levy (Florida Atlantic University, Boca Raton, FL, USA), Henry Venturelli (Florida Atlantic University, Boca Raton, FL, USA), Sophie Miller (0000-0002-7608-5501, Boston University, Boston, MA, USA)
Year2014
Volume58
Issue9
Pages1236-1245
Publication date2014-08-01
Open AccessYes
TypeARTICLE
VenueAmerican Behavioral Scientist (JOURNAL)
Journal identifiersISSN: 0002-7642 • E-ISSN: 1552-3381
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0002764213517212
OpenAlexW2316685765
LanguageEN
Citations received2
References cited16

This research tested the conventional wisdom that interactive voice recognition (IVR; also known as robocalls or auto calls) are not listened to by receivers. The study found that three out of four people (75%) listen to over 19 s of a message, which equates to over 40 words. The vast majority of people, 97%, listen to at least 6 s. This innovative, unobtrusive field approach for measuring actual listening time eliminates self-report bias. The unique data set, provided by a third-party vendor, consisted of 156 call projects with a total of 389,588 live answered phone calls from the last week of the 2012 election

Active listening · Advertising · Business · Internet privacy · Linguistics · Multimedia · Phone · Political science · Politics · Public relations · Set (abstract data type) · Speech recognition · Vendor · Applied Psychology · Communication · Computer Science · Electoral Systems and Political Participation · Marketing · Media Influence and Politics · Psychology · Social Media and Politics

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Citations per year0.67
Citation span2023 - 2023 (1)
Highly citedNo

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