{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:51:25Z","timestamp":1701478285817},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>This study utilizes a fixed effect model to examine the impact of social media on the securities market based on big data, by crawling news data from online media. The analysis incorporates the effective market hypothesis, the theory of limited attention, and the theory of excessive attention on weakness. The empirical findings indicate that the number of media reports has a limited effect on daily stock excess returns, but significantly influences stock trading volume. Furthermore, when considering factors such as company size, media reporting intensity, and the duration of media effect, it is observed that media reporting plays a more prominent role in smaller companies. However, excessive media reporting can lead to insufficient market response and shorter duration of media effect.<\/jats:p>","DOI":"10.3233\/faia230928","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:59:08Z","timestamp":1701446348000},"source":"Crossref","is-referenced-by-count":0,"title":["Quantitative Research on the Impact of Social Media on the Securities Market Based on Big Data"],"prefix":"10.3233","author":[{"given":"Jiayi","family":"Nie","sequence":"first","affiliation":[{"name":"Deerfield Academy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:59:13Z","timestamp":1701446353000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230928","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}