TweetSight: Enhancing Financial Analysts' Social Media Use

R. Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, John Millar Carroll
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Abstract

Financial analysts utilize information from heterogeneous sources (e.g. corporate filings, economic indicators, news, and tweets) to generate unique trade ideas through a sensemaking process. In this paper, we seek to understand the role of social media in this process. We conducted a semi-structured interview and identified essential benefits and barriers for the primary social media platform used by the analysts - Twitter. Analysts use Twitter as a query exploration tool, as a bellwether to understand sentiment, and to gauge knock-on effects. Drawing from our findings, we developed four scenarios to guide the design of TweetSight. Finally, we evaluated the design of TweetSight by walking analysts through the prototype. Analysts responded positively to anchoring contextual tweets in news articles to facilitate discovery and exploration of Twitter. Our findings and design implications can be applied more broadly to leverage social media for sensemaking, benefiting various business communities.
TweetSight:提高金融分析师的社交媒体使用
金融分析师利用来自不同来源的信息(如公司文件、经济指标、新闻和推特),通过语义构建过程产生独特的交易想法。在本文中,我们试图了解社交媒体在这一过程中的作用。我们进行了一次半结构化的访谈,并确定了分析师使用的主要社交媒体平台Twitter的基本优势和障碍。分析师将Twitter作为查询工具,作为了解市场情绪和衡量连锁效应的风向标。根据我们的发现,我们开发了四种场景来指导TweetSight的设计。最后,我们通过带分析师浏览原型来评估TweetSight的设计。分析师积极响应在新闻文章中锚定上下文tweet,以促进Twitter的发现和探索。我们的研究结果和设计意义可以更广泛地应用于利用社交媒体进行意义构建,从而使各种商业社区受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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