Information Disorder research project

Project Member(s): Davis, M., Jehangir, A., Wilding, D., Attard, M.

Funding or Partner Organisation: First Draft News Inc
Eye Witness Media Hub Ltd (Eye Witness Media Hub Ltd T/A First Draft)

Start year: 2023

Summary: The project aims to answer the following research question: What are the principal drivers of information disorder and, consequently, what policy and industry interventions are likely to be most effective? The project will proceed via one or more sub-projects that focus on specific 'hot' issues of information disorder in the Australian media, online environment and society more broadly. The research will include analysis of digital platform governance and regulation, media practice and regulation, media content analysis, and social media content and networks. Data sources will include media and social media content and interviews.

Publications:

Attard, M & Davis, M 1970, 'Canary in the coalmine or angel in disguise: Implications of generative AI use in Australian newsrooms', Journalism Education and Research Association of Australia, Sydney.

Davis, M & Attard, M 1970, 'Canary in the coalmine or angel in disguise? Generative AI, journalism and a worsening information disorder problem', Humanising AI Futures, University of Technology Sydney.

Attard, M, Davis, M & Main, L UTS Centre for Media Transitino 2023, Gen AI and journalism, Sydney.
View/Download from: Publisher's site

FOR Codes: Journalism studies, Communications and media policy, Media and communication law, Communication technology and digital media studies, The media

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.