Journal article
Trends in information behavior research, 2016–2022: An Annual Review of Information Science and Technology paper
Journal of the Association for Information Science and Technology, v 76(1), pp 216-237
Jan 2025
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Abstract Research on how people look for and interact with information has a long history in the information field. The current literature has been repeatedly reviewed in earlier volumes of Annual Review of Information Science and Technology . In this review, we offer an overview of the research published in this area in the years 2016–2022 with a focus on the trends that have emerged in this period. We use the term “information behavior” as an umbrella for the research area interested in how people become informed and engage with information in diverse manners acknowledging that different researchers and subfields prefer other terms and frameworks, including information practices, information experience, and health information seeking, to name a few. We reviewed 1270 articles in the field published in the years 2016–2022 and identified seven emerging trends: The CoVID‐19 Pandemic, Diversity and Inclusion, Embodiment, Misinformation and Trust, Social Q&A Websites, Collaboration, and Information Creation. The reviewed literature and trends are discussed in relation to their significance for information, earlier review of information behavior research, and the long‐debated issue of theory‐driven versus atheoretical research in the field.
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Details
- Title
- Trends in information behavior research, 2016–2022: An Annual Review of Information Science and Technology paper
- Creators
- Isto Huvila - Uppsala UniversityTim Gorichanaz - Drexel University
- Publication Details
- Journal of the Association for Information Science and Technology, v 76(1), pp 216-237
- Publisher
- Wiley
- Number of pages
- 22
- Grant note
- H2020 European Research Council: 818210
H2020 European Research Council, Grant/Award Number: 818210
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:001282204800001
- Scopus ID
- 2-s2.0-85200211795
- Other Identifier
- 991021896915504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science