A Conversationalist Approach to Information Quality in Information Interaction and Retrieval

Research output: Contribution to conferencePaperResearchpeer-review


  • 2210.07296

    Final published version, 151 KB, PDF document

Rather than using (proxies of) end user or expert judgment to decide on the ranking of information, this paper asks whether conversations about information quality might offer a feasible and valuable addition for ranking information. We introduce a theoretical framework for information quality, outlining how information interaction should be perceived as a conversation and quality be evaluated as a conversational contribution. Next, an overview is given of different systems of social alignment and their value for assessing quality and ranking information. We propose that a collaborative approach to quality assessment is preferable and raise key questions about the feasibility and value of such an approach for ranking information. We conclude that information quality is an inherently interactive concept, which involves an interaction between users of different backgrounds and in different situations as well as of quality signals on users' search behavior and experience.
Original languageEnglish
Publication date13 Oct 2023
Number of pages7
Publication statusPublished - 13 Oct 2023
EventACM CHIIR workshop on Information Quality in Information Interaction and Retrieval: Workshop at ACM SIGIR Conference on Human Information Interaction and Retrieval - Regensburg, Germany
Duration: 14 Mar 202214 Mar 2022


WorkshopACM CHIIR workshop on Information Quality in Information Interaction and Retrieval
Internet address

ID: 337217189