Using a machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms time financial tweets around earnings announcements, accounting filings as well as other important corporate events, and are more likely to use media (images or video)...

Using a machine learning approach to process 11 million tweets posted by S&P 1500 firms from 2011 through 2016, we find that poor corporate social responsibility (CSR) performance firms tweet more about CSR activities and use tweets that are shorter, and with more passive voice and extreme tone....

We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors...