Discretionary dissemination on Twitter
The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2024
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/soa_research/2052 https://ink.library.smu.edu.sg/context/soa_research/article/3079/viewcontent/DiscretionaryDissemination_Twitter_pvoa_cc_nc_nd.pdf |
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| Institution: | Singapore Management University |
| Language: | English |