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Senior Research Fellow
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Dr Miriam Fernandez is a Senior Research Fellow at the Knowledge Media Institute (KMi), Open University, and a member of KMi's Social Data Science Group. Before joining KMi, she was research associate at Universidad Autonoma de Madrid, Spain and software engineer (internship) at Google Zurich, Switzerland. Her research is at the intersection of the Web Science (WS) and Semantic Web communities (SW), where she has contributed with more than 100 peer-reviewed articles in various leading conferences and journals. She has extensive expertise in leading EU and national projects. She frequently participates in organising committees and editorial boards of the top SW and WS conferences, recently being program co-chair of the International Semantic Web conference in 2017, and serving as editor for the Journal of Web Semantics. Dr. Fernandez is the Athena SWAN champion for KMi, leading key initiatives to increase equality diversity in higher education.

Keys: Semantic Web, Information Retrieval, Web Science, Data Analytics

Team: Harith Alani, Moizzah Asif, Gregoire Burel, , Anita Khadka, Prashant Khare, Lara Piccolo, Taha Tobaili

News

30 Sep 2020


20 May 2020


30 Apr 2020


14 Nov 2019


11 Sep 2019

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Publications

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Fernandez, M. and Bellogin, A. (2020) Recommender Systems and Misinformation: The Problem or the Solution?, OHARS Workshop. 14th ACM Conference on Recommender Systems, [Online]

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Cantador, I., E., C. and Fernandez, M. (2020) Exploiting Open Data to analyze discussion and controversy in online citizen participation Exploiting Open Data to analyze discussion and controversy in online citizen participation, 57

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Farrell, T., Araque, O., Fernandez, M. and Alani, H. (2020) On the use of Jargon and Word Embeddings to Explore Subculture within the Reddit's Manosphere, 12th ACM Web Science Conference 2020, Southampton, UK

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Khadka, A., Cantador, I. and Fernandez, M. (2020) Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications, LREC 2020, 12th International Conference on Language Resources and Evaluation, Marseille

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Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., Kompatsiaris, I., Kinder-Kurlanda, K., Wagner, C., Karimi, F., Fernandez, M., Alani, H., Berendt, B., Kruegel, T., Heinze, C., Broelemann, K., Kasneci, G., Tiropanis, T. and Staab, S. (2020) Bias in data-driven artificial intelligence systems - An introductory survey Bias in data-driven artificial intelligence systems - An introductory survey

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