{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:54:12Z","timestamp":1754157252118,"version":"3.41.2"},"reference-count":17,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2008,4,4]],"date-time":"2008-04-04T00:00:00Z","timestamp":1207267200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,4,4]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>To develop a method for classifying information sender of web documents, which constitutes an important part of information credibility analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>Machine learning approach was employed. About 2,000 human\u2010annotated web documents were prepared for training and evaluation. The classification model was based on support vector machine, and the features used for the classification included the title and URL of documents, as well as information of the top page.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>With relatively small set of features, the proposed method achieved over 50 per cent accuracy.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Some of the information sender categories were found to be more difficult to classify. This is due to the subjective nature of the categories, and further refinement of the categories is needed.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>When combined with opinion\/sentiment analysis techniques, information sender classification allows more profound analysis based on interactions between opinions and senders. Such analysis forms a basis of information credibility analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>This study formulated the problem of information sender classification. It proposed a method which achieves moderate performance. It also identified some of the issues related to information sender classification.<\/jats:p><\/jats:sec>","DOI":"10.1108\/10662240810862248","type":"journal-article","created":{"date-parts":[[2008,4,12]],"date-time":"2008-04-12T07:11:18Z","timestamp":1207984278000},"page":"191-203","source":"Crossref","is-referenced-by-count":1,"title":["Classifying information sender of web documents"],"prefix":"10.1108","volume":"18","author":[{"given":"Yoshikiyo","family":"Kato","sequence":"first","affiliation":[]},{"given":"Sadao","family":"Kurohashi","sequence":"additional","affiliation":[]},{"given":"Kentaro","family":"Inui","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022021720373648400_b1","doi-asserted-by":"crossref","unstructured":"Adler, B.T. and de Alfaro, L. (2007), \u201cA content\u2010driven reputation system for the wikipedia\u201d, in Proceedings of the 16th International World Wide Web Conference (WWW2007), pp. 261\u201070.","DOI":"10.1145\/1242572.1242608"},{"key":"key2022021720373648400_b2","doi-asserted-by":"crossref","unstructured":"Cohen, J. (1960), \u201cA coefficient of agreement for nominal scales\u201d, Educational and Psychological Measurement, Vol. 20, pp. 37\u201046.","DOI":"10.1177\/001316446002000104"},{"key":"key2022021720373648400_b3","doi-asserted-by":"crossref","unstructured":"Cortes, C. and Vapnik, V.N. (1995), \u201cSupport\u2010vector networks\u201d, Machine Learning Journal, Vol. 20, pp. 273\u201097.","DOI":"10.1007\/BF00994018"},{"key":"key2022021720373648400_b4","doi-asserted-by":"crossref","unstructured":"Cristianini, N. and Shawe\u2010Taylor, J. (2000), An Introduction to Support Vector Machines and Other Kernel\u2010Based Learning Methods, Cambridge University Press, Cambridge.","DOI":"10.1017\/CBO9780511801389"},{"key":"key2022021720373648400_b5","doi-asserted-by":"crossref","unstructured":"Cross, T. ((2006)), \u201cPuppy smoothies: improving the reliability of open, collaborative wikis\u201d, First Monday, Vol. 11, September, available at: http:\/\/firstmonday.org\/issues\/issue11_9\/cross\/index.html.","DOI":"10.5210\/fm.v11i9.1400"},{"key":"key2022021720373648400_b6","unstructured":"DCMI Usage Board (2006), \u201cDCMI metadata terms\u201d, available at: http:\/\/dublincore.org\/documents\/dcmi\u2010terms\/."},{"key":"key2022021720373648400_b7","unstructured":"EETAP Resource Library (1999), \u201cEvaluating the content of web sites\u201d, available at: http:\/\/eelink.net\/eetap\/evalwebsites.pdf."},{"key":"key2022021720373648400_b8","unstructured":"Engle, M. (2005), \u201cEvaluating web sites: criteria and tools\u201d, available at: www.library.cornell.edu\/olinuris\/ref\/research\/webeval.html."},{"key":"key2022021720373648400_b9","unstructured":"Japan Registry Services (2001), \u201cGuide to JP domain name\u201d, available at: http:\/\/jprs.co.jp\/en\/jpdomain.html (accessed at: http:\/\/chasen.org\/ \u223c\u2009taku\/software\/TinySVM\/)."},{"key":"key2022021720373648400_b10","doi-asserted-by":"crossref","unstructured":"Joachims, T. (2002), Learning to Classify Text Using Support Vector Machines, Kluwer Academic Publishers, Norwell, MA.","DOI":"10.1007\/978-1-4615-0907-3"},{"key":"key2022021720373648400_b11","unstructured":"Kato, Y., Kurohashi, S. and Emoto, H. (2006), \u201cCredibility of information content: concepts and evaluation technology\u201d, Technical Report SIG\u2010SWO\u2010A602\u201001, Japanese Society for Artificial Intelligence (in Japanese)."},{"key":"key2022021720373648400_b12","unstructured":"Kurohashi, S. and Kawahara, D. (2005a), Japanese Morphological Analysis System JUMAN 5.1 Users Manual, University of Tokyo, Tokyo."},{"key":"key2022021720373648400_b13","unstructured":"Kurohashi, S. and Kawahara, D. (2005b), KN Parser (Kurohashi\u2010Nagao Parser) 2.0 Users Manual, University of Tokyo, Tokyo."},{"key":"key2022021720373648400_b14","unstructured":"Miyamori, H., Akamine, S., Kato, Y., Kaneiwa, K., Sumi, K., Inui, K. and Kurohashi, S. (2007), \u201cEvaluation data and prototype system WISDOM for information credibility analysis\u201d, in Proceedings of the First Workshop on Information Credibility on the Web (WICOW), pp. 25\u201032."},{"key":"key2022021720373648400_b15","unstructured":"Nicolov, N., Salvetti, F., Liberman, M. and Martin, J.H. (2006), Computational Approaches to Analyzing Weblogs: Papers from the 2006 Spring Symposium, Technical Report SS\u201006\u201003, American Association for Artificial Intelligence, Menlo Park, CA."},{"key":"key2022021720373648400_b16","unstructured":"Page, L., Brin, S., Motwani, R. and Winograd, T. (1999), The PageRank Citation Ranking: Bringing Order to the Web, Technical Report, Stanford University, Palo Alto, CA, available at: http:\/\/dbpubs.stanford.edu\/pub\/1999\u201066."},{"key":"key2022021720373648400_b17","unstructured":"Vapnik, V. (1998), Statistical Learning Theory, John Wiley & Sons, New York, NY."}],"container-title":["Internet Research"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/10662240810862248","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/10662240810862248\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/10662240810862248\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:40:17Z","timestamp":1753400417000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/intr\/article\/18\/2\/191-203\/184251"}},"subtitle":[],"editor":[{"given":"Yoshikiyo","family":"Kato","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2008,4,4]]},"references-count":17,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2008,4,4]]}},"alternative-id":["10.1108\/10662240810862248"],"URL":"https:\/\/doi.org\/10.1108\/10662240810862248","relation":{},"ISSN":["1066-2243"],"issn-type":[{"type":"print","value":"1066-2243"}],"subject":[],"published":{"date-parts":[[2008,4,4]]}}}