Publications

Our research has resulted in the following publications:

• Paramita, M. L., Orphanou, K., Christoforou, E., Otterbacher, J., and Hopfgartner, F. Do you see what I see? Images of the COVID-19 Pandemic through the lens of Google. Information Processing & Management, 58(5). https://doi.org/10.1016/j.ipm.2021.102654.
• Picturing the pandemic: geographical inequalities in information access, Open Access Week 2021, Elsevier
• Orphanou, K., Christoforou, E., Otterbacher, J., Paramita, M. L., and Hopfgartner, F. 2021. Preserving the memory of the first wave of COVID-19 pandemic: Crowdsourcing a collection of image search queries. In: Proceedings of the Third Symosium on Biases in Human Computation and Crowdsourcing (BHCC 2021), 10-12 November 2021, Delft, Netherlands.
• Kleanthous, S., Otterbacher, J., Bates, J., Giunchiglia, F., Hopfgartner, F., Kuflik, T., Orphanou, K., Paramita, M.L., Rovatsos, M. and Shulner-Tal, A., 2021, July. Report on the CyCAT winter school on fairness, accountability, transparency and ethics (FATE) in AI. In ACM SIGIR Forum (Vol. 55, No. 1, pp. 1-9). New York, NY, USA: ACM.
• Towards the design of bias-aware search engines: a participatory approach (under review)
• A comparison of small-scale user studies on bias-aware search engine prototypes (under review)