Agarwal S, Chomsisengphe S, Cheryl L (2017) Consumer choice and financial products. Annu Rev Financ Econ 9:127–146
Article
Google Scholar
Al Nasseri A, Tucker A, de Cesare S (2014) Big data analysis of stocktwits to predict sentiments in the stock market. In: Džeroski S, Panov P, Kocev D, Todorovski L (eds) Discovery science. Springer International Publishing, Cham, pp 13–24
Google Scholar
Antweiler W, Frank M (2004) Is all that talk just noise? The information content of internet stock message boards. J Financ 59(3):48
Article
Google Scholar
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
Billett M, Yu M (2016) Asymmetric information, financial reporting, and open-market share repurchases. J Financ Quant Anal 51(4):1165–1192
Article
Google Scholar
Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1–8
Article
Google Scholar
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):1–17
Article
Google Scholar
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):1137–1156
MathSciNet
MATH
Article
Google Scholar
Campbell J, Cecez-Kecmanovic D (2011) Communicative practices in an online financial forum during abnormal stock market behavior. Inf Manag 48(1):37–52
Article
Google Scholar
Cavalcante RC, Brasileiro RC, Souza VL, Nobrega JP, Oliveira AL (2016) Computational intelligence and financial markets. Expert Syst Appl 55(C):194–211
Article
Google Scholar
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 98–105
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 ’16), pp 527–528
Cortez P, Oliveira N, Ferreira JP (2016) Measuring user influence in financial microblogs: experiments using stocktwits data. In: ACM (ed) WIMS’16 proceedings of the 6th international conference on web intelligence, mining and semantics
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)
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
Google Scholar
Dickinson BW (2015) Sentiment analysis of investor opinions on twitter. Soc Netw 4:62–71
Article
Google Scholar
Ding X, Zhang Y, Liu T, Duan J (2015) Deep learning for event-driven stock prediction. vol 2015-January
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
Elliott WB, Grant SM, Hodge FD (2017) Investor reaction to firm or ceo use of twitter for negative disclosures. SSRN
Evans L, Owda M, Crockett K, Fernández-Vilas A (2018) Big data fusion model for heterogeneous financial market data (findf). In: Intelligent systems conference. IntelliSys 2018
Google Scholar
Fernández-Vilas A, Evans L, Owda M, Díaz Redondo R P, Crockett K (2017) Experiment for analysing the impact of financial events on twitter. Springer International Publishing, Cham, pp 407–419
Google Scholar
Gunduz H, Cataltepe Z (2015) Borsa istanbul (bist) daily prediction using financial news and balanced feature selection. Expert Syst Appl 42(22):9001–9011
Article
Google Scholar
Hentschel M, Alonso O (2014) Follow the money: a study of cashtags on twitter. First Monday 19(8)
Hobijn B, Jovanovic B (2001) The information technology revolution and the stock market: evidence. Am Econ Rev 91:1203–1220
Article
Google Scholar
Hu T, Tripathi A (2016) Impact of social media and news media on financial markets. SSRN
Karppi T, Crawford K (2016) Social media, financial algorithms and the hack crash. Theory, Culture & Society 33(1):73–92
Article
Google Scholar
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):12:315–12:345
Article
Google Scholar
Liew JKS, Budavári T (2016) Do tweet sentiments still predict the stock market? SSRN
Liu L, Wu J, Li P, Li Q (2015) A social-media-based approach to predicting stock comovement. Expert Syst Appl 42(8):3893–3901
Article
Google Scholar
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):137–143
Article
Google Scholar
Loria S (2014) Textblob: simplified text processing
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):221–239
Article
Google Scholar
Morstatter F, Pfeffer J, Liu H, Carley KM (2013) Is the sample good enough? Comparing data from twitter’s streaming api with twitter’s firehose. In: Proceedings of the 7th international conference on weblogs and social media, ICWSM 2013. AAAI Press, pp 400–408
Muhammad A, Leak A, Longley P (2014) A geocomputational analysis of twitter activity around different world cities. Inf Sci 17(3):145–152
Google Scholar
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):306–324
Article
Google Scholar
Nguyen TH, Shirai K, Velcin J (2015) Sentiment analysis on social media for stock movement prediction. Expert Syst Appl 42(24):9603–9611
Article
Google Scholar
Oliveira N, Cortez P, Areal N (2016) Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decision Support Syst 85:62–73
Article
Google Scholar
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):125–144
Article
Google Scholar
Owda M, Crockett K, Lee P (2017) Financial discussion boards irregularities detection system (fdbs-ids) using information extraction. In: Intelligent systems conference 2017
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 1345–1350
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
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
Article
Google Scholar
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):1–14
Article
Google Scholar
Rao T, Srivastava S (2014) Twitter sentiment analysis: How to hedge your bets in the stock markets. Springer International Publishing, Cham, pp 227–247
Google Scholar
Rodríguez-Domínguez D, Redondo RPD, Vilas AF, Khalifa MB (2017) Sensing the city with instagram: Clustering geolocated data for outlier detection. Expert Syst Appl 78:319–333
Article
Google Scholar
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 ’12. ACM, New York, pp 513–522
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 38:1209–1237
Article
Google Scholar
Servia-Rodríguez S, Díaz-Redondo R, Fernández-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
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):57–77
Article
Google Scholar
Sprenger TO, Tumasjan A, Sandner PG, Welpe IM (2014) Tweets and trades: the information content of stock microblogs. Eur Finan Manag 20:926–957
Article
Google Scholar
Tafti A, Zotti R, Jank W (2016) Real-time diffusion of information on twitter and the financial markets. PLoS ONE 11(8):e0159226
Article
Google Scholar
Välja M, Korman M, Lagerström 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 14–22
Vosoughi S (2015) Automatic detection and verification of rumors on twitter
Wang B, Huang H, Wang X (2012) A novel text mining approach to financial time series forecasting. Neurocomputing 83:136–145
Article
Google Scholar
Wu L, Hoi SC, Yu N (2010) Semantics-preserving bag-of-words models and applications. IEEE Trans Image Process 19(7):1908–1920
MathSciNet
MATH
Article
Google Scholar
Xiong F, MacKenzie K (2015) The business use of twitter by australian listed companies. The J Developing Areas 49(6):421–428
Article
Google Scholar
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
Zhang L (2013) entiment analysis on twitter with stock price and significant keyword correlation. PhD thesis, University of Texas, PhD thesis
Google Scholar
Zheludev I, Smith R, Aste T (2014) When can social media lead financial markets?. Sci Report 4:4213
Article
Google Scholar