6 papers
Needles in a haystack: using forensic network science to uncover insider trading
Gian Jaeger, Wang Ngai Yeung, Renaud Lambiotte
Although the automation and digitisation of anti-financial crime investigation has made significant progress in recent years, detecting insider trading remains a unique challenge,…
On Controlled Change: Generative AI's Impact on Professional Authority in Journalism
Tomás Dodds, Wang Ngai Yeung, Claudia Mellado +1
Using (generative) artificial intelligence tools and systems in journalism is expected to increase journalists' production rates, transform newsrooms' economic models, and further…
Garbage in Garbage out: Impacts of data quality on criminal network intervention
Wang Ngai Yeung, Riccardo Di Clemente, Renaud Lambiotte
Criminal networks such as human trafficking rings are threats to the rule of law, democracy and public safety in our global society. Network science provides invaluable tools to id…
The Impact of Knowledge Silos on Responsible AI Practices in Journalism
Tomás Dodds, Astrid Vandendaele, Felix M. Simon +3
The effective adoption of responsible AI practices in journalism requires a concerted effort to bridge different perspectives, including technological, editorial, journalistic, and…
Automated Journalism
Wang Ngai Yeung, Tomás Dodds
Developed as a response to the increasing popularity of data-driven journalism, automated journalism refers to the process of automating the collection, production, and distributio…
Guiding the Way: A Comprehensive Examination of AI Guidelines in Global Media
M. F. de-Lima-Santos, W. N. Yeung, T. Dodds
With the increasing adoption of artificial intelligence (AI) technologies in the news industry, media organizations have begun publishing guidelines that aim to promote the respons…