The predictive power of online chatter
- 21 August 2005
- proceedings article
- Published by Association for Computing Machinery (ACM)
Abstract
An increasing fraction of the global discourse is migrating online in the form of blogs, bulletin boards, web pages, wikis, editorials, and a dizzying array of new collaborative technologies. The migration has now proceeded to the point that topics reflecting certain individual products are sufficiently popular to allow targeted online tracking of the ebb and flow of chatter around these topics. Based on an analysis of around half a million sales rank values for 2,340 books over a period of four months, and correlating postings in blogs, media, and web pages, we are able to draw several interesting conclusions.First, carefully hand-crafted queries produce matching postings whose volume predicts sales ranks. Second, these queries can be automatically generated in many cases. And third, even though sales rank motion might be difficult to predict in general, algorithmic predictors can use online postings to successfully predict spikes in sales rank.Keywords
This publication has 10 references indexed in Scilit:
- Structure and evolution of blogspaceCommunications of the ACM, 2004
- Is All That Talk Just Noise? The Information Content of Internet Stock Message BoardsThe Journal of Finance, 2004
- Information diffusion through blogspacePublished by Association for Computing Machinery (ACM) ,2004
- How to build a WebFountain: An architecture for very large-scale text analyticsIBM Systems Journal, 2004
- On the bursty evolution of blogspacePublished by Association for Computing Machinery (ACM) ,2003
- SemTag and seekerPublished by Association for Computing Machinery (ACM) ,2003
- Detecting and Browsing Events in Unstructured textPublished by Association for Computing Machinery (ACM) ,2002
- Bursty and hierarchical structure in streamsPublished by Association for Computing Machinery (ACM) ,2002
- News or Noise? Internet Postings and Stock PricesCFA Magazine, 2001
- A study of retrospective and on-line event detectionPublished by Association for Computing Machinery (ACM) ,1998