‘I Don’t Like Maths, That’s Why I am in Journalism’: Journalism Student Perceptions and Myths about Data Journalism

Amy Schmitz Weiss, Jéssica Retis-Rivas

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Journalism programs today face the need to train their students in the latest applications and tools - including data journalism techniques. Despite several classes and programs available in this subject area (Berret & Phillips, 2016), students are not actively enrolling in such classes. Using an epistemological approach and Actor-Network Theory (Latour, 2005), this exploratory study of US journalism students identifies some key perceptions that highlight potential barriers to entry for enrollment in such courses.

Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalAsia Pacific Media Educator
Volume28
Issue number1
DOIs
StatePublished - Jun 1 2018
Externally publishedYes

Keywords

  • actor-network theory
  • Data journalism
  • journalism education
  • math
  • statistics

ASJC Scopus subject areas

  • Education
  • Communication

Fingerprint

Dive into the research topics of '‘I Don’t Like Maths, That’s Why I am in Journalism’: Journalism Student Perceptions and Myths about Data Journalism'. Together they form a unique fingerprint.

Cite this