Cited By
View all- Memiş EAkarkamçı (Kaya) HYeniad MRahebi JLopez-Guede J(2024)Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning MethodsApplied Sciences10.3390/app1402058814:2(588)Online publication date: 10-Jan-2024
TweetSight: Enhancing Financial Analysts' Social Media Use
Authors: 
Rama Adithya Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, 
John M. CarrollAuthors Info & Claims
Rama Adithya Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, John M. CarrollAuthors Info & ClaimsArticle No.: 22, Pages 1 - 10
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.
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- TweetSight: Enhancing Financial Analysts' Social Media Use
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July 2017
414 pages
ISBN:9781450348478
DOI:10.1145/3097286
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Published: 28 July 2017
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#SMSociety17: 2017 International Conference on Social Media & Society
July 28 - 30, 2017
ON, Toronto, Canada
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View all- Memiş EAkarkamçı (Kaya) HYeniad MRahebi JLopez-Guede J(2024)Comparative Study for Sentiment Analysis of Financial Tweets with Deep Learning MethodsApplied Sciences10.3390/app1402058814:2(588)Online publication date: 10-Jan-2024
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