在推特上随意传播

Richard M. Crowley, Wenli Huang, Hai-fan Lu
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引用次数: 11

摘要

使用机器学习方法分析了标准普尔1500公司从2012年到2016年发布的1280万条推文,我们发现公司在盈利公告、会计文件以及其他重要公司事件周围发布财务推文,并且更有可能在这些推文中使用媒体(图像或视频)和链接。上述模式对好消息和坏消息都适用。此外,我们发现Twitter用户的反馈鼓励了未来的财经推文以及媒体和链接的使用。这些结果共同表明,企业在社交媒体上传播信息时,会在时间和呈现形式上做出自由选择,并将Twitter用户的即时反馈纳入其传播策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discretionary Dissemination on Twitter
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) and links in those tweets. The above pattern holds for both good and bad news. Moreover, we find that feedback from Twitter users encourages future financial tweets and use of media and links. These results collectively suggest that firms make discretionary choices in timing and presentation format when disseminating information on social media and that they incorporate instantaneous feedback from Twitter users into their dissemination strategies.
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