Understanding Collaborative Journalism with Digital Trace Data and Crowdsourced Databases

Research output: Chapter in Book/Report/Conference proceedingChapter


This study represents a unique opportunity to study aspects of human behavior related to journalism projects collaboration at scale. Collaborative journalism deserves further inquiry in light of its growing importance, the resources devoted to it, and its role in creating more opportunities for news media in the face of economic and technological challenges. It theorizes how journalism collaborative/interest groups were created, maintained, and sustained. Methodologically, this study attempts to mine GitHub’s API to identify influential individuals and discover the network patterns of social collaboration in newsrooms’ repositories.

Original languageEnglish (US)
Title of host publicationJournalism Research that Matters
EditorsValérie Bélair-Gagnon, Nikki Usher
PublisherOxford University Press
Number of pages16
ISBN (Electronic)9780197538470
ISBN (Print)9780197538487
StatePublished - Jan 1 2021


  • Audience
  • Collaborative journalism
  • Crowdsourcing
  • Culture policymaking
  • Databases
  • Democracy
  • Journalism
  • Knowledge broker
  • Policy
  • Trace data

ASJC Scopus subject areas

  • General Social Sciences


Dive into the research topics of 'Understanding Collaborative Journalism with Digital Trace Data and Crowdsourced Databases'. Together they form a unique fingerprint.

Cite this