Companies are using artificial intelligence to personalise products as consumers become more demanding about what they expect from big brands.
Articles on Personalisation
Displaying all articles
Most fact-checking focuses on social media, yet misinformation can also spread quickly through messaging apps like Whatsapp. Personalised push notifications – sent directly to your phone – could help.
PODCAST: The second episode of our series on the personalisation of healthcare focuses on your diet.
After analysing posts from 100,000 Twitter users, our research used big data, machine learning and artificial intelligence to reveal the hidden personality traits underpinning thousands of jobs.
Algorithmic guardians could be programmed to manage our digital interactions with social platforms and apps according to our personal preferences.
Personalisation has made decisions easier and quicker – but it is still large corporations, rather than individual users, who benefit most.
Brands need to build trust by being transparent about how they collect data.
For advertisers, media content is becoming less important than personal information.
Top contributors
-
Senior Lecturer in Communication
-
Associate professor, Australian Catholic University
-
Lecturer, Queensland University of Technology
-
PhD Candidate at the News and Media Research Centre, University of Canberra. Researcher in journalism, Universitas Multimedia Nusantara
-
Adjunct professor, UNSW ; University of Technology Sydney
-
Professor in the School of Art and Design, Nottingham Trent University
-
Professor of AI and Behavioral Data Science, University of Technology Sydney
-
Senior Research Fellow, College of Art & Design and Built Environment, Nottingham Trent University
-
Associate Professor of Marketing, RMIT University
-
Associate Professor, Centre for Positive Psychology, The University of Melbourne
-
Professor of Genetic Epidemiology, King's College London
-
Professor at the School of Computer Science and Engineering, UNSW
-
Professor of Food Microbiology, Head of Food Microbial Sciences, University of Reading
-
Professor In Computer Science, Deakin University
-
Hugh Sinclair Chair in Human Nutrition, University of Reading