Searching with Tags: Do Tags Help Users Find Things?

This study examines the question of whether tags can be useful in the process of information retrieval. Participants searched a social bookmarking tool specialising in academic articles (CiteULike) and an online journal database (Pubmed). Participant actions were captured using screen capture software and they were asked to describe their search process. Users did make use of tags in their search process, as a guide to searching and as hyperlinks to potentially useful articles. However, users also made use of controlled vocabularies in the journal database to locate useful search terms and of links to related articles supplied by the database

Meeting of the MINDS: an information retrieval research agenda

Since its inception in the late 1950s, the field of Information Retrieval (IR) has developed tools that help people find, organize, and analyze information. The key early influences on the field are well-known. Among them are H. P. Luhn's pioneering work, the development of the vector space retrieval model by Salton and his students, Cleverdon's development of the Cranfield experimental methodology, Spärck Jones' development of idf, and a series of probabilistic retrieval models by Robertson and Croft. Until the development of the WorldWideWeb (Web), IR was of greatest interest to professional information analysts such as librarians, intelligence analysts, the legal community, and the pharmaceutical industry

Deriving query suggestions for site search

Modern search engines have been moving away from simplistic interfaces that aimed at satisfying a user's need with a single-shot query. Interactive features are now integral parts of web search engines. However, generating good query modification suggestions remains a challenging issue. Query log analysis is one of the major strands of work in this direction. Although much research has been performed on query logs collected on the web as a whole, query log analysis to enhance search on smaller and more focused collections has attracted less attention, despite its increasing practical importance. In this article, we report on a systematic study of different query modification methods applied to a substantial query log collected on a local website that already uses an interactive search engine. We conducted experiments in which we asked users to assess the relevance of potential query modification suggestions that have been constructed using a range of log analysis methods and different baseline approaches. The experimental results demonstrate the usefulness of log analysis to extract query modification suggestions. Furthermore, our experiments demonstrate that a more fine-grained approach than grouping search requests into sessions allows for extraction of better refinement terms from query log files. © 2013 ASIS&T

Report on the Information Retrieval Festival (IRFest2017)

The Information Retrieval Festival took place in April 2017 in Glasgow. The focus of the workshop was to bring together IR researchers from the various Scottish universities and beyond in order to facilitate more awareness, increased interaction and reflection on the status of the field and its future. The program included an industry session, research talks, demos and posters as well as two keynotes. The first keynote was delivered by Prof. Jaana Kekalenien, who provided a historical, critical reflection of realism in Interactive Information Retrieval Experimentation, while the second keynote was delivered by Prof. Maarten de Rijke, who argued for more Artificial Intelligence usage in IR solutions and deployments. The workshop was followed by a "Tour de Scotland" where delegates were taken from Glasgow to Aberdeen for the European Conference in Information Retrieval (ECIR 2017

Obstetric anal sphincter injury: a systematic review of information available on the internet.

OBJECTIVE: There is no systematic evaluation of online health information pertaining to obstetric anal sphincter injury. Therefore, we evaluated the accuracy, credibility, reliability, and readability of online information concerning obstetric anal sphincter injury. MATERIALS AND METHODS: Multiple search engines were searched. The first 30 webpages were identified for each keyword and considered eligible if they provided information regarding obstetric anal sphincter injury. Eligible webpages were assessed by two independent researchers for accuracy (prioritised criteria based upon the RCOG Third and Fourth Degree Tear guideline); credibility; reliability; and readability. RESULTS: Fifty-eight webpages were included. Seventeen webpages (30%) had obtained Health On the Net certification, or Information Standard approval and performed better than those without such approvals (p = 0.039). The best overall performing website was http://www.pat.nhs.uk (score of 146.7). A single webpage (1%) fulfilled the entire criteria for accuracy with a score of 18: www.tamesidehospital.nhs.uk . Twenty-nine webpages (50%) were assessed as credible (scores ≥7). A single webpage achieved a maximum credibility score of 10: www.meht.nhs.uk . Over a third (21 out of 58) were rated as poor or very poor. The highest scoring webpage was http://www.royalsurrey.nhs.uk (score 62). No webpage met the recommended Flesch Reading Ease Score above 70. The intra-class coefficient between researchers was 0.98 (95% CI 0.96-0.99) and 0.94 (95% CI 0.89-0.96) for accuracy and reliability assessments. CONCLUSION: Online information concerning obstetric anal sphincter injury often uses language that is inappropriate for a lay audience and lacks sufficient accuracy, credibility, and reliability

Finding knowledge – what is it to ‘know’ when we search?

The issue of the epistemological implications of our social and technical interactions with information is the subject of this essay. This will be specified by looking at the role of the search engine as an informant, offering testimonial knowledge on a query; at the question of how the receiver of testimony should be taken into account by those giving the information; and how we should deal with multiplicity of perspectives, or indeed gaps in our knowledge. We should seek to understand the nature of ‘knowledge’, and how informants – including non-human informants – mediate our understanding of the world around us, and have always done so. This essay turns to these questions, discussing some issues with researching technological changes, and then what role search functions fulfill, and how such functions affect our own understanding of ‘knowledge’. Such an analysis has profound implications, for example in education. Under what circumstances do we accept that students ‘know’ something; how we do we decide that they know (that is, how do educators claim knowledge on their student’s knowledge states); but also what sort of knowledge is important important to know in such a situation, these are all important questions. Furthermore, how we think about the future of such technology and the ways that technology might change what we know (for better or worse) is important

“The Same Information Is Given to Everyone”: Algorithmic Awareness of Online Platforms

After years of discourse surrounding the concept of “filter bubbles,” information seekers still find themselves in echo chambers of their own thoughts and ideas. This study is an exploratory, mixed methods analysis of platform privacy/data policies and user awareness of the personal and usage data collected and user awareness of how platforms use this data to moderate and serve online content. Utilizing Bucher’s (2018) framework to research algorithms through the black box heuristic, this project learns how users inform themselves about data collection and use policies, and their awareness of algorithmic curation. The algorithmic systems that return search results or populate newsfeeds are opaque, black boxed systems. In an attempt to open the black box, this dissertation analyzes the privacy and data policies of the top three platforms by traffic in the United States – Google, YouTube, and Facebook – to first learn how they describe their data collection practices and how they explain data usage. Then a cross-sectional survey provides user perception data about what personal data is collected about them and how that data is used, based on the privacy policy analysis. The findings of this dissertation identify a need for algorithmic literacy and develop a new frame for the ACRL’s Information Literacy Framework to address algorithmic systems in information retrieval. Additionally, the findings draw attention to two subgroups of internet users – those who believe they do not use search engines and those who use only privacy-focused search engines. Both groups require additional research and demonstrate how online information retrieval is complicated through multiple points of access and unclear methods of information curation

What Snippets Feel: Depression, Search, and Snippets

Mental health disorders (MHD) is a rising, yet stigmatized, topic in the United States. Individuals suffering from MHD are slowing starting to overcome this stigma by discussing how technology affects them. Researchers have explored behavioral nuances that emerge from interactions of individuals affected by MHD with persuasive technologies, mainly social media. Yet, there is a gap in the analysis pertaining to search engines, another persuasive technology, which is part of their everyday lives. In this paper, we report the results of an initial exploratory analysis conducted to understand the sentiment/emotion profiles of search engines handling the information needs of searchers with MHD