Search (8 results, page 1 of 1)

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Abstract

This study focuses on the sharing of "happy" information: information that creates a sense of happiness within the individual sharing the information. We explore the range of factors motivating and impacting individuals' happy information-sharing behavior within a casual leisure context through 30 semistructured interviews. The findings reveal that the factors influencing individuals' happy information-sharing behavior are numerous, and impact each other. Most individuals considered sharing happy information important to their friendships and relationships. In various contexts the act of sharing happy information was shown to enhance the sharer's happiness.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.10, S.2329-2343

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Abstract

This study explores the use of online newsgroups and discussion groups by people in situations of information poverty. Through a qualitative content analysis of 200 posts across Internet groups, we identify topics and information needs expressed by people who feel they have no other sources of support available to them. We uncover various health, well-being, social, and identity issues that are not only crucial to the lives of the people posting but which they are unwilling to risk revealing elsewhere-offering evidence that these online environments provide an outlet for the expression of critical and hidden information needs. To enable this analysis, we first describe our method for reliably identifying situations of information poverty in messages posted to these groups and outline our coding approach. Our work contributes to the study of both information seeking within the context of information poverty and the use of Internet groups as sources of information and support, bridging the two by exploring the manifestation of information poverty in this particular online setting.

Source

Journal of the Association for Information Science and Technology. 65(2014) no.1, S.25-36

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Abstract

Information need is a fundamental concept within Information Science. Robert Taylor's seminal contribution in 1968 was to propose a division of information needs into four levels: the visceral, conscious, formalized and compromised levels of information need. Taylor's contribution has provided much inspiration to Information Science research but this has largely remained at the discursive and conceptual level. In this paper, we present a novel empirical investigation of Taylor's information need classification. We analyse the linguistic differences between conscious and formalized needs using several hundred postings to four major Internet discussion groups. We show that descriptions of conscious needs are more emotional in tone, involve more sensory perception and contain different temporal dimensions than descriptions of formalized needs. We show that it is possible to differentiate levels of information need based on linguistic patterns and that the language used to express information needs can reflect an individual's understanding of their information problem. This has implications for the theory of information needs and practical implications for supporting moderators of online news groups in responding to information needs and for developing automated support for classifying information needs.

Source

Information processing and management. 56(2019) no.1, S.77-90

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Abstract

This article provides the first empirical study focused exclusively on the information intermediary role in disadvantaged (socioeconomic) and dependent (support) circumstances. We report findings from interviews and focus groups with 49 UK state and voluntary sector professionals providing support to young (<21) mothers from areas of multiple deprivations. We evidence an important information intermediary role with three key contributions to information behaviors in disadvantaged and dependent circumstances. Intermediaries: facilitate information needs recognition, and consider purposeful action within problematic situations; are a key source of information in themselves, and a key integrative connection to other external sources not otherwise accessed; and tailor and personalize information for relevance, and communicate via incremental and recursive cycles that take into account learning needs. We provide parameters for a theory of information intermediary intervention to guide future examination of an important and understudied role; and conceptualize important theoretical relationships between information behavior and social capital, and in particular shared concepts of social integration, and the progressive and integrative intermediary role within. Our findings have significant practical implications for public health policy and digital health strategies, as they evidence an important human information intermediary role among an at-risk group, with implications for disadvantaged and vulnerable populations more broadly.

Source

Journal of the Association for Information Science and Technology. 70(2019) no.2, S.117-129

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Abstract

This study investigates the information needs of young first time mothers through a qualitative content analysis of 266 selected posts to a major online discussion group. Our analysis reveals three main categories of need: needs around how to create a positive environment for a child, needs around a mother's relationships and well-being and needs around child development and health. We demonstrate the similarities of this scheme to needs uncovered in other studies and how our classification of needs is more comprehensive than those in previous studies. A critical distinction in our results is between two types of need presentation, distinguishing between situational and informational needs. Situational needs are narrative descriptions of a problematic situations whereas informational needs are need statements with a clear request. Distinguishing between these two types of needs sheds new light on how information needs develop. We conclude with a discussion on the implication of our results for young mothers and information providers.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.8, S.985-995

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Abstract

This study investigates the emotional content of 174 posts from 162 posters to online forums made by young (age 14-21) first-time mothers to understand what emotions are expressed in these posts and how these emotions interact with the types of posts and the indicators of Information Poverty within the posts. Using textual analyses we provide a classification of emotions within posts across three main themes of interaction emotions, response emotions, and preoccupation emotions and show that many requests for information by young first-time mothers are motivated by negative emotions. This has implications for how moderators of online news groups respond to online request for help and for understanding how to support vulnerable young parents.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1073-1083

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Abstract

Eye movement data can provide an in-depth view of human reasoning and the decision-making process, and modern information retrieval (IR) research can benefit from the analysis of this type of data. The aim of this research was to examine the relationship between relevance criteria use and visual behavior in the context of predictive relevance judgments. To address this objective, a multimethod research design was employed that involved observation of participants' eye movements, talk-aloud protocols, and postsearch interviews. Specifically, the results reported in this article came from the analysis of 281 predictive relevance judgments made by 24 participants using the Google search engine. We present a novel stepwise methodological framework for the analysis of relevance judgments and eye movements on the Web and show new patterns of relevance criteria use during predictive relevance judgment. For example, the findings showed an effect of ranking order and surrogate components (Title, Summary, and URL) on the use of relevance criteria. Also, differences were observed in the cognitive effort spent between very relevant and not relevant judgments. We conclude with the implications of this study for IR research.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1728-1746

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Abstract

Purpose - The purpose of this paper is to examine how various types of TREC data can be used to better understand relevance and serve as test-bed for exploring relevance. The author proposes that there are many interesting studies that can be performed on the TREC data collections that are not directly related to evaluating systems but to learning more about human judgements of information and relevance and that these studies can provide useful research questions for other types of investigation. Design/methodology/approach - Through several case studies the author shows how existing data from TREC can be used to learn more about the factors that may affect relevance judgements and interactive search decisions and answer new research questions for exploring relevance. Findings - The paper uncovers factors, such as familiarity, interest and strictness of relevance criteria, that affect the nature of relevance assessments within TREC, contrasting these against findings from user studies of relevance. Research limitations/implications - The research only considers certain uses of TREC data and assessment given by professional relevance assessors but motivates further exploration of the TREC data so that the research community can further exploit the effort involved in the construction of TREC test collections. Originality/value - The paper presents an original viewpoint on relevance investigations and TREC itself by motivating TREC as a source of inspiration on understanding relevance rather than purely as a source of evaluation material.