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Methods for aggregating investor sentiment from social media
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References

  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 1995The Limits of Arbitrage5,282 cited
  • 2011Twitter mood predicts the stock market5,252 cited
  • 2020Integración de los mercados financieros Latinoamericanos por medio de MILA3,764 cited
  • 1952Content Analysis in Communication Research.3,118 cited
  • 2004Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards2,375 cited
  • 2008More Than Words: Quantifying Language to Measure Firms' Fundamentals2,310 cited
  • 2016Textual Analysis in Accounting and Finance: A Survey2,279 cited
  • 2014The Sum of All FEARS Investor Sentiment and Asset Prices1,384 cited
  • 2010The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach1,374 cited
  • 2014Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media1,249 cited
  • 2012Sentiment During Recessions1,156 cited
  • 2023Can Large Language Models Transform Computational Social Science?676 cited
  • 2011Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”643 cited
  • 2011Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance

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623 cited
  • 2017Can Twitter Help Predict Firm-Level Earnings and Stock Returns?606 cited
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