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Data Journalism and AI: New frontiers in investigation and storytelling

Data is now an indispensable part of investigative work and storytelling for journalists and newsrooms. Computational methods and artificial intelligence (AI) are making their way to newsrooms more than ever before, and promise to open up new opportunities for journalists, as well as new challenges. This talk provides an overview of how data and Artificial Intelligence can be used in the journalism workflow, investigative reporting and storytelling.

Dr Bahareh Heravi is a Reader (Professor) in AI & Media at the Institute for People-Centered AI at the University of Surrey. She specialises in Data & Computational Journalism, has widely published on the topic and has extensive international experience working with journalists and news media organisations on the use of data and algorithmic tools for reporting and storytelling. Bahareh is a board member of the Irish Government’s Open Data Governance Board (Department of Public Expenditure & Reform), a founding co-chair of the Data & Computational Journalism Conference, and a Steering Committee member of the Computation+Journalism Conference. Prior to joining the University of Surrey, Bahareh founded and led the Data Journalism Programme at University College Dublin.

Learning outcomes

After watching this video, learners will be able to:

  • identify the value that data-led stories have in journalism
  • recognise techniques that journalists and researchers can use to tell a story with data
  • understand the challenges and opportunities that AI can bring to storytelling with data

Cite as

Bahareh Heravi (2023). Data Journalism and AI: New frontiers in investigation and storytelling. Version 1.0.0. Edited by Vicky Garnett. DARIAH-Campus. [Training module].

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Data Journalism and AI: New frontiers in investigation and storytelling
Bahareh Heravi
Social Sciences and Humanities
Published to DARIAH-Campus:
Content type:
Training module
CCBY 4.0
Data visualisation, Big data, Digital Source Criticism