Assessing online content quality through user surveys and web analytics

Muirhead, J 2019, Assessing online content quality through user surveys and web analytics , in: CHIIR '19 : Conference on Human Information Interaction and Retrieval 2019, 10th-14th March 2019, Glasgow, United Kingdom.

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Abstract

Improving the informativeness of online content can help organisations to reach a wider range of audiences and ensure that their information is accessible to as many people as possible. Whilst many studies focus on the technical aspects of system design, this research aims to identify the key characteristics of quality within informative websites, and provide practitioners with a technique to generate improved content through an action research approach.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ** Article version: VoR ** From Crossref proceedings articles via Jisc Publications Router **History: issued 08-03-2019; published 08-03-2019; published_online 08-03-2019 **License for this article: starting on 08-03-2019, , http://www.acm.org/publications/policies/copyright_policy#Background
Schools: Schools > Salford Business School
Journal or Publication Title: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
Publisher: Association for Computing Machinery (ACM)
ISBN: 9781450360258
Related URLs:
SWORD Depositor: Publications Router
Depositing User: Publications Router
Date Deposited: 05 Jan 2021 13:52
Last Modified: 27 Aug 2021 21:48
URI: http://usir.salford.ac.uk/id/eprint/59185

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