Discretionary dissemination on Twitter

Discretionary dissemination on Twitter

Using an unsupervised machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms tweet more financial information around significantly negative or positive earnings announcements or accounting filings. Specifically, we observe a symmet...

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Bibliographic Details
Main Authors: CROWLEY, Richard M., HUANG, Wenli, LU, Hai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Social Media
Discretionary Dissemination
Disclosures
Twitter
Feedback
Accounting
Corporate Finance
Online Access:https://ink.library.smu.edu.sg/soa_research/1776
https://ink.library.smu.edu.sg/context/soa_research/article/2803/viewcontent/SSRN_id3105847.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/soa_research/1776
https://ink.library.smu.edu.sg/context/soa_research/article/2803/viewcontent/SSRN_id3105847.pdf

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