Atkins, A., Niranjan, M., and Gerding, E. (2018). Financial news predicts forecasting. Econometrics 5:35. doi: 10.3390/econometrics50 stock market volatility better than close price. J. Fin. Data Sci. 4, 120-137. 30035 doi: 10.1016/j.jfds.2018.02.002

Bollen, J., Mao, H., and Zeng, X. (2011). Twitter mood predicts the stock market. J. Comput. Sci. 2, 1-8. doi: 10.1016/j.jocs.2010. 12.007 Calomiris, C. W., and Mamaysky, H. (2018). How News and Its Context Drive Glasserman, P, and Mamaysky, H. (2019). Does unusual news forecast Risk and Returns Around the World. Technical report, Columbia Business School. market stress? J. Fin. Quant. Anal. 54, 1937-1974. doi: 10.1017/S00221090190 doi: 10.3386/w24430 Caporin, M., and Poli, F. (2017). Building news measures from textual data and an application to volatility news: using automated text analytics to quantify high frequency news-implied Gabrov˘ek, P., Aleksovski, D., Mozetic, I., and Grcar, M. s (2016). Twitter sentiment around the earnings announcement events. PLoS ONE 12:e173151. doi: 10.1371/journal.pone. Hautsch, N., and Groß-Klußmann, A. (2011). When machines read the market reactions. J. Empir. Fin. 18, 321-340. doi: 10.1016/j.jempfin.2010. 11.009 Jiao, P., and Walther, A. (2016). Social media, news media

and the stock market. SSRN Electron. J. doi: 10.2139/ssrn.275

Kogan, S., Levin, D., Routledge, B. R., Sagi, J. S., and Smith, N. A. (2009). “Predicting risk from financial reports with regression,” in Proceedings

of Human Language Technologies: The 2009 Annual Conference of the

North American Chapter of the Association for Computational Linguistics,

NAACL ‘09 (Boulder, CO: Association for Computational Linguistics), 272-280. doi: 10.3115/1620754.1620794 Kothari, S. P., Li, X., and Short, J. E. (2009). The effect of

disclosures by management, analysts, and business press on cost of capital, return volatility, and analyst forecasts: a study using content analysis. Account. Rev. 84, 1639-1670. doi: 10.2308/accr.2009.84. 5.1639 Loughran, T., and McDonald, B. (2011). When is a liability not a liability? textual analysis, dictionaries, and 10-ks. J. Fin. 66, 35-65. doi: 10.1111/j.1540-6261.2010.01625.x Mahajan, A., Dey, L., and Haque, S. K. M. (2008). “Mining financial news for major events and their impacts on the market,” in 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 (Sydney, NSW: IEEE Computer Society), 423-426. doi: 10.1109/WIIAT.2008.309 Mao, H., Counts, S., and Bollen, J. (2011). Predicting financial markets: Comparing survey, news, twitter and search engine data. arXiv [Preprint]. arXiv: 1112.1051. doi: 10.48550/ARXIV.1112.1051 Tetlock, P. (2007). Giving content to investor sentiment: the role of media in the stock market. J. Fin. 62, 1139-1168. doi: 10.1111/j.1540-6261.2007. 01232.x Tetlock, P., Saar-Tsechansky, M., and MacSkassy, S. (2008). More than words: quantifying language to measure firms' fundamentals. J. Fin. 63, 1437-1467. doi: 10.1111/j.1540-6261.2008.01362.x