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Research Associate, University of Bath

Joanne has a degree in Computer Science and a PhD in Psychology at the University of Manchester. In 2012, she joined the University of Bath as a Research Associate in Human-Computer Interaction.
Her research interests include group processes and computer mediated communication. Her work examines how groups solve problems, recall information and make decisions. She is fascinated by the cognitive and social factors that underlie how people interact and how technology can influence behaviour.

Her PhD examined how online communication can mitigate problems experienced by face-to-face collaborative groups. Her postdoctoral research has explored how humans make decisions when interacting with autonomous technologies focusing on complex and uncertain environments, such as emergency and disaster response.

Personal webpage

Project information

CREST’s work is structured by five Programmes of activity. You can find out more information about our core programmes, as well as our commissioned projects here.

Joanne Hinds is part of the Understanding And Countering Online Behaviour programme. Read more about this project here.

Recent publications

Calderon, A., Hinds, J., Johnson, P. (2014) "IntCris: A tool for enhanced communication and collective decision making during crises", Proceedings of the 11th international conference on information systems for crisis and response, ISCRAM, Pennsylvania, USA.
Calderon, A., Hinds, J., Johnson, P. (2013) "Leading Cats: How to Effectively Command Collectives", Proceedings of the 10th international conference on information systems for crisis and response, ISCRAM, Basden-Basden, Germany.
Hinds, J., Calderon, A., Johnson, P. (2013) "Emergent Behaviour and Social Media in Large-Scale Disasters", Proceedings of the IADIS Multi Conference, Computer Science and Information Systems, Prague, Czech Republic.
Hinds, J., Calderon, A., Johnson, P. (2013) "Emergent Behaviour in Hurricane Katrina: Implications for Social Media Technologies in Large-Scale Disasters", poster presentation, international conference on information systems for crisis and response, ISCRAM, Basden-Basden, Germany.


More from Joanne...

 

Projects

Articles

What demographic attributes do our digital footprints reveal? A systematic review

To what extent does our online activity reveal who we are? Recent research has demonstrated that the digital traces left by individuals as they browse and interact with others online may reveal who they are and what their interests may be. In the present paper we report a systematic review that synthesises current evidence on predicting demographic attributes from online digital traces. Studies were included if they met the following criteria: (i) they reported findings where at least one demographic attribute was predicted/inferred from at least one form of digital footprint, (ii) the method of prediction was automated, and (iii) the traces were either visible (e.g. tweets) or non-visible (e.g. clickstreams). We identified 327 studies published up until October 2018. Across these articles, 14 demographic attributes were successfully inferred from digital traces; the most studied included gender, age, location, and political orientation. For each of the demographic attributes identified, we provide a database containing the platforms and digital traces examined, sample sizes, accuracy measures and the classification methods applied. Finally, we discuss the main research trends/findings, methodological approaches and recommend directions for future research.

(From the journal abstract)


Hinds, J., & Joinson, A. N. (2018). What demographic attributes do our digital footprints reveal? A systematic review. PLOS ONE, 13(11), e0207112.

Authors: Joanne Hinds, Adam Joinson
https://doi.org/10.1371/journal.pone.0207112

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