{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:57:14Z","timestamp":1760597834866,"version":"3.37.3"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T00:00:00Z","timestamp":1534723200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100003176","name":"Ministerio de Educaci\u00f3n, Cultura y Deporte","doi-asserted-by":"publisher","award":["PRIX16\/00368"],"award-info":[{"award-number":["PRIX16\/00368"]}],"id":[{"id":"10.13039\/501100003176","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007136","name":"Secretar\u00eda de Estado de Investigaci\u00f3n, Desarrollo e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["TEC2014-54335-C4-3-R"],"award-info":[{"award-number":["TEC2014-54335-C4-3-R"]}],"id":[{"id":"10.13039\/501100007136","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003330","name":"Secretar\u00eda de Estado de Investigacion, Desarrollo e Innovacion","doi-asserted-by":"publisher","award":["TEC2017-84197-C4-2-R"],"award-info":[{"award-number":["TEC2017-84197-C4-2-R"]}],"id":[{"id":"10.13039\/501100003330","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1007\/s11042-018-6388-4","type":"journal-article","created":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T05:44:57Z","timestamp":1534743897000},"page":"9217-9245","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Twitter permeability to financial events: an experiment towards a model for sensing irregularities"],"prefix":"10.1007","volume":"78","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":"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"}]},{"given":"Majdi","family":"Owda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lewis","family":"Evans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,20]]},"reference":[{"key":"6388_CR1","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1146\/annurev-financial-110716-032417","volume":"9","author":"S Agarwal","year":"2017","unstructured":"Agarwal S, Chomsisengphe S, Cheryl L (2017) Consumer choice and financial products. Annu Rev Financ Econ 9:127\u2013146","journal-title":"Annu Rev Financ Econ"},{"key":"6388_CR2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/978-3-319-11812-3_2","volume-title":"Discovery Science","author":"Alya Al Nasseri","year":"2014","unstructured":"Al Nasseri A, Tucker A, de Cesare S (2014) Big data analysis of stocktwits to predict sentiments in the stock market. In: D\u017eeroski S, Panov P, Kocev D, Todorovski L (eds) Discovery science. Springer International Publishing, Cham, pp 13\u201324"},{"issue":"3","key":"6388_CR3","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1111\/j.1540-6261.2004.00662.x","volume":"59","author":"W Antweiler","year":"2004","unstructured":"Antweiler W, Frank M (2004) Is all that talk just noise? The information content of internet stock message boards. J Financ 59(3):48","journal-title":"J Financ"},{"key":"6388_CR4","doi-asserted-by":"publisher","unstructured":"Azar P, Lo AW (2016) The wisdom of twitter crowds: predicting stock market reactions to fomc meetings via twitter feeds, available at SSRN: https:\/\/ssrn.com\/abstract=2756815 . https:\/\/doi.org\/10.2139\/ssrn.2756815","DOI":"10.2139\/ssrn.2756815"},{"issue":"4","key":"6388_CR5","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1017\/S0022109016000612","volume":"51","author":"M Billett","year":"2016","unstructured":"Billett M, Yu M (2016) Asymmetric information, financial reporting, and open-market share repurchases. J Financ Quant Anal 51(4):1165\u20131192","journal-title":"J Financ Quant Anal"},{"issue":"1","key":"6388_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1\u20138","journal-title":"J Comput Sci"},{"issue":"7","key":"6388_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0040014","volume":"7","author":"I Bordino","year":"2012","unstructured":"Bordino I, Battiston S, Caldarelli G, Cristelli M, Ukkonen A, Weber I (2012) Web search queries can predict stock market volumes. PLOS ONE 7(7):1\u201317","journal-title":"PLOS ONE"},{"issue":"7","key":"6388_CR8","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1080\/14697688.2014.996586","volume":"15","author":"G Bormetti","year":"2015","unstructured":"Bormetti G, Calcagnile LM, Treccani M, Corsi F, Marmi S, Lillo F (2015) Modelling systemic price cojumps with hawkes factor models. Quant Finan 15 (7):1137\u20131156","journal-title":"Quant Finan"},{"issue":"1","key":"6388_CR9","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.im.2010.12.003","volume":"48","author":"J Campbell","year":"2011","unstructured":"Campbell J, Cecez-Kecmanovic D (2011) Communicative practices in an online financial forum during abnormal stock market behavior. Inf Manag 48(1):37\u201352","journal-title":"Inf Manag"},{"issue":"C","key":"6388_CR10","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.eswa.2016.02.006","volume":"55","author":"RC Cavalcante","year":"2016","unstructured":"Cavalcante RC, Brasileiro RC, Souza VL, Nobrega JP, Oliveira AL (2016) Computational intelligence and financial markets. Expert Syst Appl 55(C):194\u2013211","journal-title":"Expert Syst Appl"},{"key":"6388_CR11","doi-asserted-by":"crossref","unstructured":"Cazzoli L, Sharma R, Treccani M, Lillo F (2016) A large scale study to understand the relation between twitter and financial market. In: 2016 third European network intelligence conference (ENIC), pp 98\u2013105","DOI":"10.1109\/ENIC.2016.022"},{"key":"6388_CR12","doi-asserted-by":"crossref","unstructured":"Ceccarelli D, Nidito F, Osborne M (2016) Ranking financial tweets. In: ACM (edn) proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201916), pp 527\u2013528","DOI":"10.1145\/2911451.2926727"},{"key":"6388_CR13","doi-asserted-by":"crossref","unstructured":"Cortez P, Oliveira N, Ferreira JP (2016) Measuring user influence in financial microblogs: experiments using stocktwits data. In: ACM (ed) WIMS\u201916 proceedings of the 6th international conference on web intelligence, mining and semantics","DOI":"10.1145\/2912845.2912860"},{"key":"6388_CR14","doi-asserted-by":"crossref","unstructured":"De Choudhury M (2011) Tie formation on twitter: Homophily and structure of egocentric networks. In: 2011 IEEE third international conference on IEEE (ed) privacy, security, risk and trust (PASSAT) and 2011 IEEE 3rd international conference on social computing (SocialCom)","DOI":"10.1109\/PASSAT\/SocialCom.2011.177"},{"issue":"4","key":"6388_CR15","first-page":"19","volume":"8","author":"JY Delort","year":"2012","unstructured":"Delort JY, Arunasalam B, Leung H, Milosavljevic M (2012) The impact of manipulation in internet stock message boards. Int J Banking Finan 8(4):19","journal-title":"Int J Banking Finan"},{"key":"6388_CR16","doi-asserted-by":"publisher","first-page":"62","DOI":"10.4236\/sn.2015.43008","volume":"4","author":"BW Dickinson","year":"2015","unstructured":"Dickinson BW (2015) Sentiment analysis of investor opinions on twitter. Soc Netw 4:62\u201371","journal-title":"Soc Netw"},{"key":"6388_CR17","unstructured":"Ding X, Zhang Y, Liu T, Duan J (2015) Deep learning for event-driven stock prediction. vol 2015-January"},{"key":"6388_CR18","doi-asserted-by":"crossref","unstructured":"Dredze M, Kambadur P, Kazantsev G, Mann G, Osborne M (2016) How twitter is changing the nature of financial news discovery. In: ACM (ed) proceedings of the second international workshop on data science for macro-modeling","DOI":"10.1145\/2951894.2951903"},{"key":"6388_CR19","unstructured":"Elliott WB, Grant SM, Hodge FD (2017) Investor reaction to firm or ceo use of twitter for negative disclosures. SSRN"},{"key":"6388_CR20","first-page":"1085","volume-title":"Advances in Intelligent Systems and Computing","author":"Lewis Evans","year":"2018","unstructured":"Evans L, Owda M, Crockett K, Fern\u00e1ndez-Vilas A (2018) Big data fusion model for heterogeneous financial market data (findf). In: Intelligent systems conference. IntelliSys 2018"},{"key":"6388_CR21","first-page":"407","volume-title":"Experiment for analysing the impact of financial events on twitter","author":"A Fern\u00e1ndez-Vilas","year":"2017","unstructured":"Fern\u00e1ndez-Vilas A, Evans L, Owda M, D\u00edaz Redondo R P, Crockett K (2017) Experiment for analysing the impact of financial events on twitter. Springer International Publishing, Cham, pp 407\u2013419"},{"issue":"22","key":"6388_CR22","doi-asserted-by":"publisher","first-page":"9001","DOI":"10.1016\/j.eswa.2015.07.058","volume":"42","author":"H Gunduz","year":"2015","unstructured":"Gunduz H, Cataltepe Z (2015) Borsa istanbul (bist) daily prediction using financial news and balanced feature selection. Expert Syst Appl 42(22):9001\u20139011","journal-title":"Expert Syst Appl"},{"key":"6388_CR23","doi-asserted-by":"crossref","unstructured":"Hentschel M, Alonso O (2014) Follow the money: a study of cashtags on twitter. First Monday 19(8)","DOI":"10.5210\/fm.v19i8.5385"},{"key":"6388_CR24","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1257\/aer.91.5.1203","volume":"91","author":"B Hobijn","year":"2001","unstructured":"Hobijn B, Jovanovic B (2001) The information technology revolution and the stock market: evidence. Am Econ Rev 91:1203\u20131220","journal-title":"Am Econ Rev"},{"key":"6388_CR25","doi-asserted-by":"crossref","unstructured":"Hu T, Tripathi A (2016) Impact of social media and news media on financial markets. SSRN","DOI":"10.2139\/ssrn.2964054"},{"issue":"1","key":"6388_CR26","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1177\/0263276415583139","volume":"33","author":"T Karppi","year":"2016","unstructured":"Karppi T, Crawford K (2016) Social media, financial algorithms and the hack crash. Theory, Culture & Society 33(1):73\u201392","journal-title":"Theory, Culture & Society"},{"issue":"10","key":"6388_CR27","doi-asserted-by":"publisher","first-page":"12:315","DOI":"10.1007\/s11042-016-3643-4","volume":"76","author":"Q Li","year":"2017","unstructured":"Li Q, Wang J, Wang F, Li P, Liu L, Chen Y (2017) The role of social sentiment in stock markets: a view from joint effects of multiple information sources. Multimed Tools Appl 76(10):12:315\u201312:345","journal-title":"Multimed Tools Appl"},{"key":"6388_CR28","doi-asserted-by":"crossref","unstructured":"Liew JKS, Budav\u00e1ri T (2016) Do tweet sentiments still predict the stock market? SSRN","DOI":"10.2139\/ssrn.2820269"},{"issue":"8","key":"6388_CR29","doi-asserted-by":"publisher","first-page":"3893","DOI":"10.1016\/j.eswa.2014.12.049","volume":"42","author":"L Liu","year":"2015","unstructured":"Liu L, Wu J, Li P, Li Q (2015) A social-media-based approach to predicting stock comovement. Expert Syst Appl 42(8):3893\u20133901","journal-title":"Expert Syst Appl"},{"issue":"3-4","key":"6388_CR30","doi-asserted-by":"publisher","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 (2016) The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. Int J Data Sci Analytics 1(3-4):137\u2013143","journal-title":"Int J Data Sci Analytics"},{"key":"6388_CR31","unstructured":"Loria S (2014) Textblob: simplified text processing"},{"issue":"2","key":"6388_CR32","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1111\/1475-679X.12075","volume":"53","author":"GS Miller","year":"2015","unstructured":"Miller GS, Skinner DJ (2015) The evolving disclosure landscape: how changes in technology, the media, and capital markets are affecting disclosure. J Account Res 53 (2):221\u2013239","journal-title":"J Account Res"},{"key":"6388_CR33","unstructured":"Morstatter F, Pfeffer J, Liu H, Carley KM (2013) 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. AAAI Press, pp 400\u2013408"},{"issue":"3","key":"6388_CR34","first-page":"145","volume":"17","author":"A Muhammad","year":"2014","unstructured":"Muhammad A, Leak A, Longley P (2014) A geocomputational analysis of twitter activity around different world cities. Inf Sci 17(3):145\u2013152","journal-title":"Inf Sci"},{"issue":"1","key":"6388_CR35","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.eswa.2014.08.004","volume":"42","author":"AK Nassirtoussi","year":"2015","unstructured":"Nassirtoussi AK, Aghabozorgi S, Wah TY, Ngo DCL (2015) Text mining of news-headlines for forex market prediction: A multi-layer dimension reduction algorithm with semantics and sentiment. Expert Syst Appl 42(1):306\u2013324","journal-title":"Expert Syst Appl"},{"issue":"24","key":"6388_CR36","doi-asserted-by":"publisher","first-page":"9603","DOI":"10.1016\/j.eswa.2015.07.052","volume":"42","author":"TH Nguyen","year":"2015","unstructured":"Nguyen TH, Shirai K, Velcin J (2015) Sentiment analysis on social media for stock movement prediction. Expert Syst Appl 42(24):9603\u20139611","journal-title":"Expert Syst Appl"},{"key":"6388_CR37","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.dss.2016.02.013","volume":"85","author":"N Oliveira","year":"2016","unstructured":"Oliveira N, Cortez P, Areal N (2016) Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decision Support Syst 85:62\u201373","journal-title":"Decision Support Syst"},{"issue":"Complete","key":"6388_CR38","doi-asserted-by":"publisher","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 (2017) 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(Complete):125\u2013144","journal-title":"Expert Syst Appl"},{"key":"6388_CR39","doi-asserted-by":"crossref","unstructured":"Owda M, Crockett K, Lee P (2017) Financial discussion boards irregularities detection system (fdbs-ids) using information extraction. In: Intelligent systems conference 2017","DOI":"10.1109\/IntelliSys.2017.8324262"},{"key":"6388_CR40","doi-asserted-by":"crossref","unstructured":"Pagolu VS, Reddy KN, Panda G, Majhi B (2016) Sentiment analysis of twitter data for predicting stock market movements. In: 2016 international conference on signal processing, communication, power and embedded system (SCOPES), pp 1345\u20131350","DOI":"10.1109\/SCOPES.2016.7955659"},{"key":"6388_CR41","doi-asserted-by":"crossref","unstructured":"Rajesh N, Gandy L (2016) Cashtagnn: Using sentiment of tweets with cashtags to predict stock market prices In: 11th international conference on intelligent systems: theories and applications, SITA. IEEE","DOI":"10.1109\/SITA.2016.7772262"},{"issue":"9","key":"6388_CR42","doi-asserted-by":"publisher","first-page":"e0138441","DOI":"10.1371\/journal.pone.0138441","volume":"10","author":"G Ranco","year":"2015","unstructured":"Ranco G, Aleksovski D, Caldarelli G, Grcar M, Mozetic I (2015) The effects of twitter sentiment on stock price returns. PloS one 10(9):e0138441","journal-title":"PloS one"},{"issue":"1","key":"6388_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0146576","volume":"11","author":"G Ranco","year":"2016","unstructured":"Ranco G, Bordino I, Bormetti G, Caldarelli G, Lillo F, Treccani M (2016) Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics. PLOS ONE 11(1):1\u201314","journal-title":"PLOS ONE"},{"key":"6388_CR44","first-page":"227","volume-title":"Twitter sentiment analysis: How to hedge your bets in the stock markets","author":"T Rao","year":"2014","unstructured":"Rao T, Srivastava S (2014) Twitter sentiment analysis: How to hedge your bets in the stock markets. Springer International Publishing, Cham, pp 227\u2013247"},{"key":"6388_CR45","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/j.eswa.2017.02.018","volume":"78","author":"D Rodr\u00edguez-Dom\u00ednguez","year":"2017","unstructured":"Rodr\u00edguez-Dom\u00ednguez D, Redondo RPD, Vilas AF, Khalifa MB (2017) Sensing the city with instagram: Clustering geolocated data for outlier detection. Expert Syst Appl 78:319\u2013333","journal-title":"Expert Syst Appl"},{"key":"6388_CR46","doi-asserted-by":"crossref","unstructured":"Ruiz EJ, Hristidis V, Castillo C, Gionis A, Jaimes A (2012) Correlating financial time series with micro-blogging activity. In: Proceedings of the 5th ACM international conference on web search and data mining, WSDM \u201912. ACM, New York, pp 513\u2013522","DOI":"10.1145\/2124295.2124358"},{"key":"6388_CR47","doi-asserted-by":"publisher","first-page":"1209","DOI":"10.1111\/j.1468-5957.2011.02258.x","volume":"38","author":"S Sabherwal","year":"2011","unstructured":"Sabherwal S, Sarkar S, Zhang Y (2011) Do internet stock message boards influence trading? Evidence from heavily discussed stocks with no fundamental news. J Bus Finance Account 38:1209\u20131237","journal-title":"J Bus Finance Account"},{"key":"6388_CR48","doi-asserted-by":"crossref","unstructured":"Servia-Rodr\u00edguez S, D\u00edaz-Redondo R, Fern\u00e1ndez-Vilas A (2015) Are tweets biased by audience? An analysis from the view of topic diversity. In: International conference on social computing, behavioral-cultural modeling, and prediction. Springer International Publishing","DOI":"10.1007\/978-3-319-16268-3_20"},{"issue":"3","key":"6388_CR49","doi-asserted-by":"publisher","first-page":"57","DOI":"10.18559\/ebr.2016.3.5","volume":"2","author":"K Shutes","year":"2016","unstructured":"Shutes K, McGrath K, Lis P, Riegler R (2016) Twitter and the us stock market: The influence of micro. bloggers on share prices. Econ Bus Rev 2(3):57\u201377","journal-title":"Econ Bus Rev"},{"key":"6388_CR50","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1111\/j.1468-036X.2013.12007.x","volume":"20","author":"TO Sprenger","year":"2014","unstructured":"Sprenger TO, Tumasjan A, Sandner PG, Welpe IM (2014) Tweets and trades: the information content of stock microblogs. Eur Finan Manag 20:926\u2013957","journal-title":"Eur Finan Manag"},{"issue":"8","key":"6388_CR51","doi-asserted-by":"publisher","first-page":"e0159226","DOI":"10.1371\/journal.pone.0159226","volume":"11","author":"A Tafti","year":"2016","unstructured":"Tafti A, Zotti R, Jank W (2016) Real-time diffusion of information on twitter and the financial markets. PLoS ONE 11(8):e0159226","journal-title":"PLoS ONE"},{"key":"6388_CR52","doi-asserted-by":"crossref","unstructured":"V\u00e4lja M, Korman M, Lagerstr\u00f6m R, Franke U, Ekstedt M (2016) Automated architecture modeling for enterprise technology manageme using principles from data fusion: A security analysis case. In: 2016 Portland international conference on management of engineering and technology (PICMET), pp 14\u201322","DOI":"10.1109\/PICMET.2016.7806662"},{"key":"6388_CR53","unstructured":"Vosoughi S (2015) Automatic detection and verification of rumors on twitter"},{"key":"6388_CR54","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neucom.2011.12.013","volume":"83","author":"B Wang","year":"2012","unstructured":"Wang B, Huang H, Wang X (2012) A novel text mining approach to financial time series forecasting. Neurocomputing 83:136\u2013145","journal-title":"Neurocomputing"},{"issue":"7","key":"6388_CR55","doi-asserted-by":"publisher","first-page":"1908","DOI":"10.1109\/TIP.2010.2045169","volume":"19","author":"L Wu","year":"2010","unstructured":"Wu L, Hoi SC, Yu N (2010) Semantics-preserving bag-of-words models and applications. IEEE Trans Image Process 19(7):1908\u20131920","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"6388_CR56","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1353\/jda.2015.0107","volume":"49","author":"F Xiong","year":"2015","unstructured":"Xiong F, MacKenzie K (2015) The business use of twitter by australian listed companies. The J Developing Areas 49(6):421\u2013428","journal-title":"The J Developing Areas"},{"key":"6388_CR57","unstructured":"Xiong F, Prasad A, Chapple L (2016) The economic consequences of corporate financial reporting on twitter. In: 7th conference on financial markets and corporate governance conference"},{"key":"6388_CR58","volume-title":"entiment analysis on twitter with stock price and significant keyword correlation","author":"L Zhang","year":"2013","unstructured":"Zhang L (2013) entiment analysis on twitter with stock price and significant keyword correlation. PhD thesis, University of Texas, PhD thesis"},{"key":"6388_CR59","doi-asserted-by":"publisher","first-page":"4213","DOI":"10.1038\/srep04213","volume":"4","author":"I Zheludev","year":"2014","unstructured":"Zheludev I, Smith R, Aste T (2014) When can social media lead financial markets?. Sci Report 4:4213","journal-title":"Sci Report"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6388-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6388-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6388-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T20:02:29Z","timestamp":1661803349000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6388-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,20]]},"references-count":59,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["6388"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6388-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2018,8,20]]},"assertion":[{"value":"1 December 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 May 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}