MULTILINGUAL COVID-19
FAKE NEWS DETECTION AND INTERVENTION

Demonstration of project website and online fact-checking tool

Challenges

Counter infodemic

The emergence of the Coronavirus Disease 2019 (COVID-19) epidemic has produced massive information related to COVID-19. Information distribution platforms such as mass media and social media allow information to be spread widely. Unfortunately, not all of the information is accurate or trustworthy. Some of the information spreading around those platforms can be categorised as misinformation or even fake news.

Meanwhile, a lot of fake news was produced in various languages so that it can spread more easily in particular regions and linguistic groups. The detection of multilingual COVID-19 fake news is essential for countries such as Australia and Indonesia which consist of hundreds of ethnic and linguistic groups.

However, the mainstream of existing fake news detection research mainly focuses on English based content which cannot recognise fake news spreading through multiple linguistic groups. Failing to detect and intervene the spread of multilingual COVID-19 fake news can easily cause mistrust and wrong public responses, such as panic buying, non-compliance with social distancing, and even refusal of COVID tests and vaccinations.

Objectives

To collect and analyse individual online behaviour characteristics in COVID-19 news propagation and communication in Australia and Indonesia.

To conduct theoretical analysis about the existing fake news detection models, and design a multilingual COVID-19 fake news detection model using advanced machine learning techniques.

To apply the proposed COVID-19 fake news detection method to risk communication management to intervene in the spread of fake news, and help authoritative organisations to generate their customised COVID-19 warning policies. 

Events

Deakin-UGM Workshop On COVID19 Fake News Detection and Intervention

Review
Lab News

Partnerships

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Deakin University’s School of Information Technology has world class research capacity in cybersecurity, distributed computing and artificial intelligence. 

Gadjah Mada University is one of the oldest and largest institutions of higher education in Indonesia and has well-established networks and partnerships with various industry/government institutions, which provides excellent research and commercialisation opportunities. 

Study Melbourne is a Victorian Government initiative providing support and information to this community of international students, helping them have the best possible time while studying and living in Victoria

Veski was established in 2004 to enhance Victoria’s intellectual capital through a program of fellowships, awards and international networks. Veski is at the forefront of Australia’s innovation economy.