Blogs: Spinning a web of virality

Karine Nahon, Jeff Hemsley, Shawn Walker, Muzammil Hussain

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

4 Scopus citations

Abstract

The aim of this study is to understand the role of bloggers in driving viral information. More specifically, we develop a new methodology that creates a map of the'life cycle' of blogs posting links to viral information. Our dataset focuses blogs linking to the most significant viral videos of the 2008 US presidential election. To do so, we gathered data on all blogs (n=9,765) and their posts (n=13,173) linking to 65 of the top US presidential election videos that went viral on the Internet during the period between March 2007 and June 2009. Among other things, our findings illuminate the importance of different types of blogs: elite, top-political, top-general and tail blogs. We also found that while elite and top-general blogs create political information, they drive and sustain the viral process, whereas top-political and tail blogs act as followers in the process.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 iConference
Subtitle of host publicationInspiration, Integrity, and Intrepidity, iConference 2011
Pages348-355
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011 - Seattle, WA, United States
Duration: Feb 8 2011Feb 11 2011

Publication series

NameACM International Conference Proceeding Series

Other

Other6th Annual Conference on 2011 iConference: Inspiration, Integrity, and Intrepidity, iConference 2011
Country/TerritoryUnited States
CitySeattle, WA
Period2/8/112/11/11

Keywords

  • Blogosphere
  • Blogs
  • Diffusion
  • Dissemination
  • Information flows
  • Network gatekeeping
  • New media
  • Political information
  • Viral video
  • Virality

ASJC Scopus subject areas

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

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