{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:25:27Z","timestamp":1787318727450,"version":"build-2736575974"},"reference-count":38,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2005,11,27]],"date-time":"2005-11-27T00:00:00Z","timestamp":1133049600000},"content-version":"vor","delay-in-days":544,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Finance"],"published-print":{"date-parts":[[2004,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Financial press reports claim that Internet stock message boards can move markets. We study the effect of more than 1.5 million messages posted on Yahoo! Finance and Raging Bull about the 45 companies in the Dow Jones Industrial Average and the Dow Jones Internet Index. Bullishness is measured using computational linguistics methods.\n                    <jats:italic>Wall Street Journal<\/jats:italic>\n                    news stories are used as controls. We find that stock messages help predict market volatility. Their effect on stock returns is statistically significant but economically small. Consistent with\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"#b21\">Harris and Raviv (1993)<\/jats:ext-link>\n                    , disagreement among the posted messages is associated with increased trading volume.\n                  <\/jats:p>","DOI":"10.1111\/j.1540-6261.2004.00662.x","type":"journal-article","created":{"date-parts":[[2004,5,6]],"date-time":"2004-05-06T03:57:37Z","timestamp":1083815857000},"page":"1259-1294","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1926,"title":["Is All That Talk Just Noise? 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