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...
Saved in:
Main Authors: | CROWLEY, Richard M., HUANG, Wenli, LU, Hai |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Discretionary dissemination on Twitter
by: CROWLEY, Richard M., et al.
Published: (2024) -
Do firms manage their CSR reputation? Evidence from Twitter
by: CROWLEY, Richard M., et al.
Published: (2019) -
Executive tweets
by: Richard M.CROWLEY,, et al.
Published: (2021) -
Understanding the Twitter usage of humanities and social sciences academic journals
by: Sesagiri Raamkumar, Aravind, et al.
Published: (2019) -
Twitter demonstrates why poison pills are bad for shareholders
by: HUMPHERY-JENNER, Mark
Published: (2022)