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Augmenting web pages and search results to support credibility assessment

Published: 07 May 2011 Publication History
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  • Abstract

    The presence (and, sometimes, prominence) of incorrect and misleading content on the Web can have serious consequences for people who increasingly rely on the internet as their information source for topics such as health, politics, and financial advice. In this paper, we identify and collect several page features (such as popularity among specialized user groups) that are currently difficult or impossible for end users to assess, yet provide valuable signals regarding credibility. We then present visualizations designed to augment search results and Web pages with the most promising of these features. Our lab evaluation finds that our augmented search results are particularly effective at increasing the accuracy of users'" credibility assessments, highlighting the potential of data aggregation and simple interventions to help people make more informed decisions as they search for information online.

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    Cited By

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    • (2024)Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and ValidationJMIR AI10.2196/426303(e42630)Online publication date: 2-May-2024
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          Published In

          CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
          May 2011
          3530 pages
          ISBN:9781450302289
          DOI:10.1145/1978942
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 07 May 2011

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          Author Tags

          1. credibility
          2. trustworthiness
          3. web

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          CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
          Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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          Cited By

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          • (2024)Online Health Search Via Multidimensional Information Quality Assessment Based on Deep Language Models: Algorithm Development and ValidationJMIR AI10.2196/426303(e42630)Online publication date: 2-May-2024
          • (2024)Navigating the Job-Seeking Journey: Challenges and Opportunities for Digital Employment Support in KashmirProceedings of the ACM on Human-Computer Interaction10.1145/36373758:CSCW1(1-28)Online publication date: 26-Apr-2024
          • (2024)Balancing Act: Boosting Strategies for Informed Search on Controversial TopicsProceedings of the 2024 Conference on Human Information Interaction and Retrieval10.1145/3627508.3638329(254-265)Online publication date: 10-Mar-2024
          • (2024)Viblio: Introducing Credibility Signals and Citations to Video-Sharing PlatformsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642490(1-20)Online publication date: 11-May-2024
          • (2023)Photo Steward: A Deliberative Collective Intelligence Workflow for Validating Historical ArchivesProceedings of The ACM Collective Intelligence Conference10.1145/3582269.3615600(34-52)Online publication date: 6-Nov-2023
          • (2023)Reviewing Interventions to Address Misinformation: The Need to Expand Our Vision Beyond an Individualistic FocusProceedings of the ACM on Human-Computer Interaction10.1145/35795207:CSCW1(1-34)Online publication date: 16-Apr-2023
          • (2023)Investigating the Influence of Featured Snippets on User AttitudesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578323(211-220)Online publication date: 19-Mar-2023
          • (2023)The Evolution of Web Search User Interfaces - An Archaeological Analysis of Google Search Engine Result PagesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578320(55-68)Online publication date: 19-Mar-2023
          • (2023)Assessing Google Search’s New Features in Supporting Credibility judgments of Unknown WebsitesProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578277(303-307)Online publication date: 19-Mar-2023
          • (2023)In a Hurry: How Time Constraints and the Presentation of Web Search Results Affect User Behaviour and ExperienceWeb Engineering10.1007/978-3-031-34444-2_16(221-235)Online publication date: 6-Jun-2023
          • Show More Cited By

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