{"title":"Other Times Itźs Just Strolling Back Through My Timeline: Investigating Re-finding Behaviour on Twitter and Its Motivations","authors":"F. Meier, David Elsweiler","doi":"10.1145/3176349.3176392","DOIUrl":null,"url":null,"abstract":"Returning to previously viewed or possessed information - re-finding - is a core information seeking behaviour that has been studied in diverse contexts including physical environments, personal computer filing systems, web search and email. Despite being designed for real-time and ephemeral content, recent studies have shown that re-finding of older content is performed in Social Media applications too. To better understand why this is and how re-finding can be better supported, in this work we describe the results of a large-scale web-based survey which queried 606 Twitter users on how and how often they re-find, as well as the motivations for this behaviour. Our main contribution is the qualitative analysis of these motivations and motivations sourced via two existing studies, resulting in a coding scheme documenting the breadth and frequency of different Social Media re-finding tasks. We discuss how this classification can be used in (i) the design of task-based evaluations, (ii) the detection and interpretation of re-finding in click-stream data and (iii) the design of Social Media search systems.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3176349.3176392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Returning to previously viewed or possessed information - re-finding - is a core information seeking behaviour that has been studied in diverse contexts including physical environments, personal computer filing systems, web search and email. Despite being designed for real-time and ephemeral content, recent studies have shown that re-finding of older content is performed in Social Media applications too. To better understand why this is and how re-finding can be better supported, in this work we describe the results of a large-scale web-based survey which queried 606 Twitter users on how and how often they re-find, as well as the motivations for this behaviour. Our main contribution is the qualitative analysis of these motivations and motivations sourced via two existing studies, resulting in a coding scheme documenting the breadth and frequency of different Social Media re-finding tasks. We discuss how this classification can be used in (i) the design of task-based evaluations, (ii) the detection and interpretation of re-finding in click-stream data and (iii) the design of Social Media search systems.