Tweetsight: Enhancing financial analysts' social media use

Rama Adithya Varanasi, Benjamin V. Hanrahan, Shahtab Wahid, John M. Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Financial analysts utilize information from heterogeneous sources (e.g. corporate -lings, 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.

Original languageEnglish (US)
Title of host publication8th International Conference on Social Media and Society
Subtitle of host publicationSocial Media for Good or Evil, #SMSociety 2017
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450348478
DOIs
StatePublished - Jul 28 2017
Event8th International International Conference on Social Media and Society, #SMSociety 2017 - Toronto, Canada
Duration: Jul 28 2017Jul 30 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F129683

Other

Other8th International International Conference on Social Media and Society, #SMSociety 2017
Country/TerritoryCanada
CityToronto
Period7/28/177/30/17

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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