Assessing online content quality through user surveys and web analytics

Muirhead, J

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.

Citation

Muirhead, J. Assessing online content quality through user surveys and web analytics. Presented at CHIIR '19 : Conference on Human Information Interaction and Retrieval 2019, Glasgow, United Kingdom

• Presentation Conference Type: Other
• Conference Name: CHIIR '19 : Conference on Human Information Interaction and Retrieval 2019
• Conference Location: Glasgow, United Kingdom
• End Date: Mar 14, 2019
• Online Publication Date: Mar 8, 2019
• Publication Date: Mar 8, 2019
• Deposit Date: Jan 5, 2021
• Publisher: Association for Computing Machinery (ACM)
• Book Title: CHIIR '19: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
• ISBN: 9781450360258
• DOI: https://doi.org/10.1145/3295750.3298977
• Publisher URL: https://doi.org/10.1145/3295750.3298977
• Related Public URLs: https://doi.org/10.1145/3295750
• Additional Information: 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; Event Type : Conference