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Trustworthiness criteria for supporting users to assess the credibility of web information

Published: 13 May 2013 Publication History
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  • Abstract

    Assessing the quality of information on the Web is a challenging issue for at least two reasons. First, as a decentralized data publishing platform in which anyone can share nearly anything, the Web has no inherent quality control mechanisms to ensure that content published is valid, legitimate, or even just interesting. Second, when assessing the trustworthiness of web pages, users tend to base their judgments upon descriptive criteria such as the visual presentation of the website rather than more robust normative criteria such as the author's reputation and the source's review process. As a result, Web users are liable to make incorrect assessments, particularly when making quick judgments on a large scale. Therefore, Web users need credibility criteria and tools to help them assess the trustworthiness of Web information in order to place trust in it. In this paper, we investigate the criteria that can be used to collect supportive data about a piece of information in order to improve a person's ability to quickly judge the trustworthiness of the information. We propose the normative trustworthiness criteria namely, authority, currency, accuracy and relevance which can be used to support users' assessments of the trustworthiness of Web information. In addition, we validate these criteria using an expert panel. The results show that the proposed criteria are helpful. Moreover, we obtain weighting scores for criteria which can be used to calculate the trustworthiness of information and suggest a piece of information that is more likely to be trustworthy to Web users.

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    • (2023)A computational model for assessing experts’ trustworthinessJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2023.2183272(1-32)Online publication date: 1-Mar-2023
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    Published In

    cover image ACM Other conferences
    WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
    May 2013
    1636 pages
    ISBN:9781450320382
    DOI:10.1145/2487788

    Sponsors

    • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
    • CGIBR: Comite Gestor da Internet no Brazil

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 May 2013

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    Author Tags

    1. information quality
    2. trust
    3. trustworthiness
    4. web credibility

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    • Research-article

    Conference

    WWW '13
    Sponsor:
    • NICBR
    • CGIBR
    WWW '13: 22nd International World Wide Web Conference
    May 13 - 17, 2013
    Rio de Janeiro, Brazil

    Acceptance Rates

    WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    • (2024)Symmetric and asymmetric modeling to boost customers’ trustworthiness in livestreaming commerceCurrent Psychology10.1007/s12144-024-06200-4Online publication date: 3-Jul-2024
    • (2023)A computational model for assessing experts’ trustworthinessJournal of Experimental & Theoretical Artificial Intelligence10.1080/0952813X.2023.2183272(1-32)Online publication date: 1-Mar-2023
    • (2022)Templates and Trust-o-meters: Towards a widely deployable indicator of trust in WikipediaProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517523(1-17)Online publication date: 29-Apr-2022
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    • (2021)Designing Trustworthy User InterfacesProceedings of the 33rd Australian Conference on Human-Computer Interaction10.1145/3520495.3520525(182-189)Online publication date: 30-Nov-2021
    • (2021)Beyond Relevance: Trustworthy Answer Selection via Consensus VerificationProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441781(562-570)Online publication date: 8-Mar-2021
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    • (2020)A logical consideration on fraudulent email communicationArtificial Life and Robotics10.1007/s10015-020-00597-425:3(475-481)Online publication date: 1-Aug-2020
    • (2019)Use of E-Resources by Social Scientists in Tamil Nadu, IndiaLiteracy Skill Development for Library Science Professionals10.4018/978-1-5225-7125-4.ch007(146-173)Online publication date: 2019
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