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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Main Authors: CROWLEY, Richard M., HUANG, Wenli, LU, Hai
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Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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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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spelling sg-smu-ink.soa_research-28032024-11-15T00:32:55Z Discretionary dissemination on Twitter CROWLEY, Richard M. HUANG, Wenli LU, Hai 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 symmetric U-shaped relation between the number of financial tweets and the materiality of accounting information events. This relation is consistent with the theoretical prediction in Hummel et al. (2018) which assumes that managers are sensitive to their firm’s fundamental value. We document that this relation also holds for hyperlink usage in tweets about financial information around important events, and that the relation is more pronounced for non-loss firms. Furthermore, our intraday analyses indicate that firms release financial information on Twitter primarily after (before) earnings announcements (10-K or 10-Q filings), suggesting that Twitter plays different roles for firms around separate accounting information events. 2020-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/soa_research/1776 info:doi/10.2139/ssrn.3105847 https://ink.library.smu.edu.sg/context/soa_research/article/2803/viewcontent/SSRN_id3105847.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Accountancy eng Institutional Knowledge at Singapore Management University Social Media Discretionary Dissemination Disclosures Twitter Feedback Accounting Corporate Finance Social Media
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Social Media
Discretionary Dissemination
Disclosures
Twitter
Feedback
Accounting
Corporate Finance
Social Media
spellingShingle Social Media
Discretionary Dissemination
Disclosures
Twitter
Feedback
Accounting
Corporate Finance
Social Media
CROWLEY, Richard M.
HUANG, Wenli
LU, Hai
Discretionary dissemination on Twitter
description 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 symmetric U-shaped relation between the number of financial tweets and the materiality of accounting information events. This relation is consistent with the theoretical prediction in Hummel et al. (2018) which assumes that managers are sensitive to their firm’s fundamental value. We document that this relation also holds for hyperlink usage in tweets about financial information around important events, and that the relation is more pronounced for non-loss firms. Furthermore, our intraday analyses indicate that firms release financial information on Twitter primarily after (before) earnings announcements (10-K or 10-Q filings), suggesting that Twitter plays different roles for firms around separate accounting information events.
format text
author CROWLEY, Richard M.
HUANG, Wenli
LU, Hai
author_facet CROWLEY, Richard M.
HUANG, Wenli
LU, Hai
author_sort CROWLEY, Richard M.
title Discretionary dissemination on Twitter
title_short Discretionary dissemination on Twitter
title_full Discretionary dissemination on Twitter
title_fullStr Discretionary dissemination on Twitter
title_full_unstemmed Discretionary dissemination on Twitter
title_sort discretionary dissemination on twitter
publisher Institutional Knowledge at Singapore Management University
publishDate 2020
url 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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