Keeping Online Reviews Honest.
The article discusses the efforts of computer scientists to ensure the authenticity of online reviews which are crucial to electronic-commerce and social media sites. Topics discussed include a BrightLocal study which showed that an increasing percentage of U.S. consumers read online reviews to dete...
| Publicado en: | Communications of the ACM Vol. 57; no. 11; pp. 20 - 24 |
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| Formato: | Artículo |
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Association for Computing Machinery
Nov2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=99074782&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99074782 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2014 vid: 57 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 99074782 10.1145/2667111 ppf: 20 ppct: 4 formats: tig: atl: Keeping Online Reviews Honest. aug: au: Kugler, Logan su: Websites Fraud Computer crimes Computer fraud Electronic commerce Social media in business Social media sug: subj: Websites Fraud Computer crimes Computer fraud Electronic commerce Social media in business Social media ab: The article discusses the efforts of computer scientists to ensure the authenticity of online reviews which are crucial to electronic-commerce and social media sites. Topics discussed include a BrightLocal study which showed that an increasing percentage of U.S. consumers read online reviews to determine a good local business, the value of positive reviews, the impact of review fraud on both businesses and consumers, several ways for consumers to determine a fraudulent online review and computer algorithms to help detect fake reviews. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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