Tracking interactions across business news, social media, and stock fluctuations

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


In this paper we study the interactions between how companies are mentioned in news, their presence on social media, and daily fluctuation in their stock prices. Our experiments demonstrate that for some entities these time series can be correlated in interesting ways, though for others the correspondences are more opaque. In this study, social media presence is measured by counting Wikipedia page hits. This work is done in a context of building a system for aggregating and analyzing news text, which aims to help the user track business trends; we show results obtainable by the system.
Original languageEnglish
Title of host publicationAdvances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016 Padua, Italy, March 20–23, 2016, Proceedings
EditorsNicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello
Number of pages6
Place of PublicationCham
PublisherSpringer International Publishing AG
Publication date2016
ISBN (Print)978-3-319-30670-4
ISBN (Electronic)978-3-319-30671-1
Publication statusPublished - 2016
MoE publication typeA4 Article in conference proceedings
EventEuropean Conference on Information Retrieval - Padua, Italy
Duration: 20 Mar 201623 Mar 2016
Conference number: 38

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of Science

  • 113 Computer and information sciences

Cite this