{"title":"通过用户调查和网络分析评估在线内容质量","authors":"J. Muirhead","doi":"10.1145/3295750.3298977","DOIUrl":null,"url":null,"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.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Assessing Online Content Quality through User Surveys and Web Analytics\",\"authors\":\"J. Muirhead\",\"doi\":\"10.1145/3295750.3298977\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":187771,\"journal\":{\"name\":\"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3295750.3298977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3295750.3298977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing Online Content Quality through User Surveys and Web Analytics
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.
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