{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:49:05Z","timestamp":1740098945500,"version":"3.37.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319654812"},{"type":"electronic","value":"9783319654829"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-65482-9_28","type":"book-chapter","created":{"date-parts":[[2017,8,10]],"date-time":"2017-08-10T18:08:09Z","timestamp":1502388489000},"page":"407-419","source":"Crossref","is-referenced-by-count":1,"title":["Experiment for Analysing the Impact of Financial Events on Twitter"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1047-2143","authenticated-orcid":false,"given":"Ana","family":"Fern\u00e1ndez-Vilas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lewis","family":"Evans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majdi","family":"Owda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebeca P.","family":"D\u00edaz Redondo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keeley","family":"Crockett","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,11]]},"reference":[{"key":"28_CR1","doi-asserted-by":"crossref","unstructured":"Cazzoli, L., Sharma. R., Treccani, M., Lillo, F.A.: Large scale study to understand the relation between Twitter and financial market. In: Third European Network Intelligence Conference (2016)","DOI":"10.1109\/ENIC.2016.022"},{"key":"28_CR2","doi-asserted-by":"crossref","unstructured":"Sprenger, T.O., Tumasjan, A., Sandner, P.G., Welpe, I.M.: Tweets and trades: the information content of stock microblogs. In: European Financial Management, vol. 20, pp. 926\u2013957 (2014)","DOI":"10.1111\/j.1468-036X.2013.12007.x"},{"key":"28_CR3","doi-asserted-by":"crossref","unstructured":"Hentschel, M., Alonso, O.: Follow the money: a study of cashtags on Twitter. First Monday 19(8) (2014)","DOI":"10.5210\/fm.v19i8.5385"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Ruiz, E.J., Hristidis, V., Castillo, C., Gionis, A., Jaimes, A.: Correlating financial time series with microblogging activity. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (2012)","DOI":"10.1145\/2124295.2124358"},{"key":"28_CR5","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.eswa.2016.12.036","volume":"73","author":"N Oliveira","year":"2017","unstructured":"Oliveira, N., Cortez, P., Areal, N.: The impact of microblogging data for stock market prediction: using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Syst. Appl. 73, 125\u2013144 (2017)","journal-title":"Expert Syst. Appl."},{"key":"28_CR6","doi-asserted-by":"crossref","unstructured":"Liew, J.K.S., Budav\u00e1ri, T.: Do Tweet Sentiments Still Predict the Stock Market? SSRN (2016)","DOI":"10.2139\/ssrn.2820269"},{"key":"28_CR7","doi-asserted-by":"crossref","unstructured":"Rajesh, N., Gandy, L.: CashTagNN: using sentiment of tweets with CashTags to predict stock market prices. In: 11th International Conference on Intelligent Systems: Theories and Applications (2016)","DOI":"10.1109\/SITA.2016.7772262"},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"Cortez, P., Oliveira, N., Ferreira, J.P.: Measuring user influence in financial microblogs: experiments using stocktwits data. In: Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016 (2016)","DOI":"10.1145\/2912845.2912860"},{"issue":"3","key":"28_CR9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1080\/10095020.2014.941316","volume":"17","author":"M Adnan","year":"2014","unstructured":"Adnan, M., Leak, A., Loingley, P.: A geocomputational analysis of Twitter activity around different world cities. Geo-Spatial Inf. Sci. 17(3), 145\u2013152 (2014)","journal-title":"Geo-Spatial Inf. Sci."},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Morstatter, F., Pfeffer, J., Liu, H., Carley, K.M.: Is the sample good enough? Comparing data from twitter\u2019s streaming API with Twitter\u2019s firehose. In: Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013 (2013)","DOI":"10.1609\/icwsm.v7i1.14401"},{"issue":"3\u20134","key":"28_CR11","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s41060-016-0023-0","volume":"1","author":"H Liu","year":"2016","unstructured":"Liu, H., Morstatter, F., Tang, J., Zafarani, R.: The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int. J. Data Sci. Anal. 1(3\u20134), 137\u2013143 (2016)","journal-title":"Int. J. Data Sci. Anal."},{"key":"28_CR12","unstructured":"Vosoughi, S.: Automatic Detection and Verification of Rumors on Twitter. Massachusetts Institute of Technology (2015)"},{"key":"28_CR13","doi-asserted-by":"crossref","unstructured":"Tafti, A., Zotti, R., Jank, W.: Real-time diffusion of information on Twitter and the financial markets. PLoS ONE 11(8) (2016)","DOI":"10.1371\/journal.pone.0159226"},{"key":"28_CR14","doi-asserted-by":"crossref","unstructured":"Jung, M.J., Naughton, J.P., Tahoun, A., Clare, A.W.: Do Firms Strategically Disseminate? Evidence from Corporate Use of Social Media. SSRN (2016)","DOI":"10.2139\/ssrn.2588081"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-65482-9_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T23:26:29Z","timestamp":1692919589000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-65482-9_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319654812","9783319654829"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-65482-9_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}