Discovery Early Career Researcher Award - Grant ID: DE230100761

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE230100761

Funding Status
Active

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Funded Activity Summary

Identifying biases in news using models of narrative framing. This project aims to develop tools to detect biased narratives and one-sided framing in news stories using novel natural language processing methods to understand the text more deeply. Unlike existing methods, which overly rely on surface word co-occurrences patterns, the novel methods will be able to capture narratives in a more holistic and intuitive manner. Expected outcomes include new modeling techniques grounded in theory and a tool to highlight biases with recommendations for diverse sets of news articles. By raising awareness to biased news reporting, the project will benefit Australians through more balanced public discourse on global challenges, such as climate change and health pandemics.

Funded Activity Details

Start Date: 01-01-2023

End Date: 31-12-2025

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $430,504.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial intelligence | Natural language processing |

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Artificial Intelligence | Artificial intelligence | Digital Humanities | Natural language processing

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