Associate Professor Daniel Angus

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  • RT @qutdmrc: Congratulations to @timothyjgraham who is one of the top 10 finalists in QUT's Research in Focus competition! To vote for Tim…
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Associate Professor in Digital Communication, School of Communication

Doctor of Philosophy (Swinburne Institute of Technology)

Dr Daniel Angus is Associate Professor of Digital Communication in the School of Communication, and leader of the Computational Communication and Culture program in QUT’s world-leading Digital Media Research Centre. His research focuses on the development and application of visual computational analysis methods in communication and media studies, with a specific focus on conversation and social media data. His novel computational methods have improved our understanding of the nature of communication in medical consultations, conversations in aged care settings, television broadcast, social media, and newspaper reporting. Daniel has been involved in computer science research for over 15 years and he contributes regularly to media and industry on the impact of technology on society.

Daniel received a BS/BE double degree in research and development, and electronics and computer systems, and the PhD degree in computer science from Swinburne University of Technology, in 2004 and 2008, respectively. Between 2008 and 2018 he worked in a number of roles at The University of Queensland, leading collaborative research at the intersection of computer science, design, communication, linguistics, and journalism.

He is an Associate Investigator in the ARC Centre of Excellence for the Dynamics of Language, and the ARC Centre of Excellence for Automated Decision Making & Society, and a Chief Investigator on the ARC Discovery Projects, Evaluating the Challenge of ‘Fake News’ and Other Malinformation, and Using machine vision to explore Instagram’s everyday promotional cultures.

Additional information

Daniel is a co-convenor of the Brisbane chapter of the worldwide Hacks/Hackers movement. Hacks/Hackers brings technologists and journalists together to explore opportunities and challenges at the boundary of these disciplines.

Prior to, and over the course of his academic career Daniel has worked in a number of rewarding consultancy and full-time professional roles. Daniel has worked in:

  • standards testing and Engineering (automotive / white goods / built environment);
  • automated portfolio management in the finance sector;
  • data analytics for the healthcare sector; and,
  • communication analytics for the minerals and natural resource sector.
Title
Using Machine Vision to Explore Instagram's Everyday Promotional Cultures
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP200100519
Start year
2020
Keywords
Title
Evaluating the Challenge of 'Fake News' and Other Malinformation
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP200101317
Start year
2020
Keywords
  • Investigating how machine learning algorithms are used to profile users of social media
    PhD, Principal Supervisor
    Other supervisors: Professor Jean Burgess
  • No tool is a box: Unpacking embedded knowledge to address tool/language barriers
    PhD, Principal Supervisor
    Other supervisors: Professor Axel Bruns
  • Imaginary Containers and Imaginary Coins: e-publishing using smart contracts
    PhD, Principal Supervisor
    Other supervisors: Professor Patrik Wikstrom
  • MY DIGITAL 'FRIEND': DESIGN CONSIDERATIONS WHEN DEPLOYING CHATBOTS IN TRUSTED COMPANIONSHIP ROLES
    PhD, Principal Supervisor
    Other supervisors: Associate Professor Renata Meuter
  • Unsupervised Social Media Analytics for Detecting Social Bots, Hate Speech and Fake News
    PhD, Associate Supervisor
    Other supervisors: Professor Axel Bruns
  • Becoming DTube: The biography of a decentralised video streaming platform
    PhD, Associate Supervisor
    Other supervisors: Professor Jean Burgess
  • Emerging digital technologies for development: International digital inclusion agendas
    PhD, Associate Supervisor
    Other supervisors: Professor Michael Dezuanni
  • Decoding the Political Ideology of Internet Meme Subcultures Using Pragmasemiotic Methods
    PhD, Associate Supervisor
    Other supervisors: Professor Jean Burgess, Dr Ariadna Matamoros Fernandez
  • Journalism, community, and future technology: Empowering Queensland regional news media outlets with AI
    MPhil, Associate Supervisor
    Other supervisors: Associate Professor Angela Romano