Traditional media seen from social media

Jisun An, Daniele Quercia, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft

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

2 Citations (Scopus)

Abstract

With the advent of social media services, media outlets have started reaching audiences on social-networking sites. On Twitter, users actively follow a wide set of media sources, form interpersonal networks, and propagate interesting stories to their peers. These media subscription and interaction patterns, which had previously been hidden behind media corporations' databases, offer new opportunities to understand media supply and demand on a large scale. Through a map that connects 77 media outlets based on Twitter subscription patterns, we are able to answer a variety of questions: to what extent New York Times and the Wall Street Journal readers overlap? Are they competitors or potential collaborators? Are people who know each other more likely to subscribe to similar outlets?.

Original languageEnglish
Title of host publicationProceedings of the 5th Annual ACM Web Science Conference, WebSci'13
PublisherAssociation for Computing Machinery
Pages11-14
Number of pages4
ISBN (Print)9781450318891
DOIs
Publication statusPublished - 1 Jan 2013
Event3rd Annual ACM Web Science Conference, WebSci 2013 - Paris, France
Duration: 2 May 20134 May 2013

Publication series

NameProceedings of the 5th Annual ACM Web Science Conference, WebSci'13
Volumevolume

Other

Other3rd Annual ACM Web Science Conference, WebSci 2013
CountryFrance
CityParis
Period2/5/134/5/13

Keywords

  • Media study
  • Social media
  • Structural hole
  • Visualization

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Traditional media seen from social media'. Together they form a unique fingerprint.

  • Cite this

    An, J., Quercia, D., Cha, M., Gummadi, K., & Crowcroft, J. (2013). Traditional media seen from social media. In Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13 (pp. 11-14). (Proceedings of the 5th Annual ACM Web Science Conference, WebSci'13; Vol. volume). Association for Computing Machinery. https://doi.org/10.1145/2464464.2464492