The shapes of information practice: using radial mapping qualitatively
Research output: Contribution to conference › Paper › Research › peer-review
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The shapes of information practice: using radial mapping qualitatively. / McKenzie, Pamela; Hicks, Alison; Bronstein, Jenny; Hyldegård, Jette Seiden; Ruthven, Ian; Widén, Gunilla.
2024. Paper presented at 87th Annual Meeting of the Association for Information Science & Technology, Calgary, AB, Canada.Research output: Contribution to conference › Paper › Research › peer-review
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TY - CONF
T1 - The shapes of information practice: using radial mapping qualitatively
AU - McKenzie, Pamela
AU - Hicks, Alison
AU - Bronstein, Jenny
AU - Hyldegård, Jette Seiden
AU - Ruthven, Ian
AU - Widén, Gunilla
N1 - Conference code: 87
PY - 2024
Y1 - 2024
N2 - Information practices comprise both seeking and avoidance. Although information practices scholars use qualitative and visual methods to understand seeking practices, they rarely do so to understand avoidance. This paper proposes a new visual method that supports revealing and explaining the complex interplay of seeking and avoidance in rich qualitative data. We introduce seven dimensions of information seeking and avoidance practice (intensity, granularity, engagement, control, relevance, quality, and timeliness). We conceptualize these visually as axes radiating outward from a central origin. We use Excel radar charts to depict these dimensions, allowing us to identify and characterize the shapes of information seeking and avoidance in everyday information practices. We apply our approach to two cases from published literature to show how mapping reveals the interplay between seeking and avoidance at one point in time and over time. We propose potential data collection and analysis applications of this method for information practices research
AB - Information practices comprise both seeking and avoidance. Although information practices scholars use qualitative and visual methods to understand seeking practices, they rarely do so to understand avoidance. This paper proposes a new visual method that supports revealing and explaining the complex interplay of seeking and avoidance in rich qualitative data. We introduce seven dimensions of information seeking and avoidance practice (intensity, granularity, engagement, control, relevance, quality, and timeliness). We conceptualize these visually as axes radiating outward from a central origin. We use Excel radar charts to depict these dimensions, allowing us to identify and characterize the shapes of information seeking and avoidance in everyday information practices. We apply our approach to two cases from published literature to show how mapping reveals the interplay between seeking and avoidance at one point in time and over time. We propose potential data collection and analysis applications of this method for information practices research
M3 - Paper
T2 - 87th Annual Meeting of the Association for Information Science & Technology
Y2 - 25 October 2024 through 29 October 2024
ER -
ID: 393053921