Shout out: Integrating news and reader comments

Lisa M. Gandy, Nathan D. Nichols, Kristian J Hammond

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

2 Scopus citations

Abstract

A useful approach for enabling computers to automatically create new content is utilizing the text, media, and information already present on the World Wide Web. The newly created content is known as "machine-generated content". For example, a machine-generated content system may create a multimedia news show with two animated anchors presenting a news story; one anchor reads the news story with text taken from an existing news article, and the other anchor regularly interrupts with his or her own opinion about the story. In this paper, we present such a system, and describe in detail its strategy for autonomously extracting and selecting the opinions given by the second anchor.

Original languageEnglish (US)
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages1095-1096
Number of pages2
DOIs
StatePublished - Jul 20 2010
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: Apr 26 2010Apr 30 2010

Publication series

NameProceedings of the 19th International Conference on World Wide Web, WWW '10

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period4/26/104/30/10

Keywords

  • cosine similarity
  • emotional valence detection
  • machine-generated content

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Gandy, L. M., Nichols, N. D., & Hammond, K. J. (2010). Shout out: Integrating news and reader comments. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 1095-1096). (Proceedings of the 19th International Conference on World Wide Web, WWW '10). https://doi.org/10.1145/1772690.1772821