The article contributes to the conceptual studies of affective
factors in information seeking by examining Kuhlthau's information search
process model.
Guided by the risk information-seeking and processing model, this study examines positive and negative affect separately in their influence on information-seeking intentions and avoidance through structural equation analyses. The highlight is that information avoidance seems to be driven by positive affect, while information seeking seems to be more heavily influenced by negative affect. Another interesting finding is that informational subjective norms are positively related to both seeking and avoidance, which suggests that one’s social environment has the potential to strongly influence the way he or she handles climate change information. Implications for theory and practice are discussed.
O. Hassan, O. Aderibigbe, O. Efijemue, und T. Onasanya. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Seite 906--908. New York, NY, USA, ACM, (2024)
S. Farhat, L. Tubati, M. Osiemo, und R. Dave. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, Seite 34. ACM, (2024)