{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:37:20Z","timestamp":1776112640601,"version":"3.50.1"},"reference-count":30,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2007,10,1]],"date-time":"2007-10-01T00:00:00Z","timestamp":1191196800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2007,10]]},"abstract":"<jats:p> The study investigates the ways in which people experience information overload in the context of monitoring everyday events through media such as newspapers and the internet. The findings are based on interviews with 20 environmental activists in Finland in 2005. The perceptions of the seriousness of problems caused by information overload varied among the participants. On the one hand, information overload was experienced as a real problem particularly in the networked information environments. On the other hand, information overload was perceived as an imagined problem with some mythical features. Two major strategies for coping with information overload were identified. The filtering strategy is based on the determined weeding out of material deemed useless. This strategy is favoured in networked information environments. The withdrawal strategy is more affectively oriented, emphasizing the need to protect oneself from excessive information supply by keeping the number of information sources to a minimum. <\/jats:p>","DOI":"10.1177\/0165551506077418","type":"journal-article","created":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T00:14:16Z","timestamp":1180656856000},"page":"611-621","source":"Crossref","is-referenced-by-count":171,"title":["Filtering and withdrawing: strategies for coping with information overload in everyday contexts"],"prefix":"10.1177","volume":"33","author":[{"given":"Reijo","family":"Savolainen","sequence":"first","affiliation":[{"name":"Department of Information Studies, University of Tampere, Finland,"}]}],"member":"179","published-online":{"date-parts":[[2007,10,1]]},"reference":[{"issue":"3","key":"atypb1","first-page":"485","volume":"47","author":"T.J. 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