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Multilingual COVID-19 Fake News Detection and Intervention
Introduction
Deakin University in partnership with Universitas Gadjah Mada (Indonesia), is conducting a research project on multilingual COVID-19 fake news detection and intervention. The objective of this survey is to
produce the datasets for multilingual COVID-19 fake news,
design and implement multilingual COVID-19 fake news detection model, and
generate policy and guidance to intervene the spread of COVID-19 fake news.
If you agree to participate in this study, you will be asked to sign a consent form (check all checkbox in the next section) and fill in the questionnaire about your general profile, knowledge about COVID-19, your opinion for some scenario given, and your fake news detection ability. Completion of these questionnaires should take approximately 25 minutes.
If you have any questions or would like further information or have any problems about this study, both Indonesian and Australian participant can contact the Principal Researcher or the Associate Researcher named below:
A/Prof Xiao Liu – Principal Researcher School of Information Technology Faculty of Science, Engineering and Built Environment Burwood Campus Deakin University, Burwood, Victoria 3125 Telephone: 0392445428 Email: xiao.liu@deakin.edu.au
Hilya Mudrika Arini – Associate Researcher Departemen Teknik Mesin dan Industri, Fakultas Teknik, Universitas Gadjah Mada Telephone: +62 274 - 521673 Email: hilya.mudrika@ugm.ac.id
This study has received Deakin University ethics approval (reference number: SEBE-2021-79)