Melbourne Centre for Data Science at the University of Melbourne
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In recent years, disinformation has become a global phenomenon, particularly so during times of crises such as the pandemic of COVID-19. Disinformation appears in a gamut of types from scams to conspiracy theories, to political campaigns, and to rumors. The wide dissemination of disinformation can have harmful impact on individuals and the society. Despite the recent progress in detecting fake news, disinformation detection and mitigation remains a defying task due to its scale, complexity, diversity, speed, and costs of fact-checking or annotation, as well as social and psychological factors. In this talk, we look at some lessons learned when exploring strategies of detecting disinformation and fake news and discuss challenges in disinformation research and the pressing need for interdisciplinary research. This talk is mainly based on Dr. Kai Shu’s doctoral research at ASU.
If we are unable to eliminate COVID-19 in Victoria and in the absence of a vaccine, we will need to prepare to face subsequent waves of infection. This will throw our cities into an unprecedented period of flux - to what extent is the pandemic influencing our cities and how will they operate during this time of uncertainty?
How will such fundamental components of our urban fabric like settlement patterns and our use of different modes of transportation change? And what challenges does public policy development face in such a complex environment?