Search (7 results, page 1 of 1)

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Date

2.11.2007 12:33:42

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1709-1719

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Date

20. 1.2015 18:30:22

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Date

20. 1.2015 18:30:22

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Source

Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2536-2548

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Source

Libri. 72(2022) no.1, S.1-12

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Abstract

The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM-Proactive, Social, Reactive, and Passive-and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media-centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.

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Abstract

Purpose - The purpose of this paper is to specify the role of emotions played in information seeking and sharing taking place in online discussion forum. To this end, an explorative study was made that focussed on consumer awareness. Design/methodology/approach - The study is based on the analysis of a sample of 30 discussion threads containing altogether 1,630 messages available in Canadian Content - a major online platform. The expression of emotions was examined by using the categories of the interaction process analysis (IPA) model. Two research questions were addressed: first, what kind of emotions are expressed in the four functional areas of the IPA model when discussing online about consumer awareness? and second, what is the role of positive and negative emotions in information seeking and sharing about the above topic? The data were analyzed by means of descriptive statistics and qualitative content analysis. Findings - Of the emotional expressions, 42 percent were positive and 58 percent negative. The most frequent emotions were amusement, contempt, worry, irritation and pleasure. The frequencies of positive and emotional expressions varied in the context of 12 IPA categories. Positive emotions predominated when participants showed solidarity or agreed, while negative emotions were particularly prevalent when indicating antagonism. The repertoire of positive and negative emotions was broadest while providing opinions or sharing information with others. In contrast, emotions were expressed rarely in the context of information seeking. Research limitations/implications - The study is explorative in nature and the findings are based on the examination of an online discussion group focussed on the issues of consumer awareness. Originality/value - The study contributes to the study of affective factors in computer-mediated interaction by empirically specifying the repertoire of positive and negative emotions expressed in online discussion.