Dr. Miriam Fernandez

Senior Research Fellow

Dr Miriam Fernandez is a Senior Research Fellow at the Knowledge Media Institute (KMi), Open University, and a senior member of KMi's Social Data Science and OUAnalyse research groups. Before joining KMi, she was research associate at Universidad Autonoma de Madrid, Spain and software engineer 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 and a proven track record of high-quality research and grant winning. 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 the Extended Semantic Web Conference in 2019, and serving as editor for the Journal of Web Semantics. Dr. Fernandez is the EDI lead and Athena SWAN champion for KMi, leading key initiatives to increase equality diversity in higher education.


Semantic Web, Web Science, Data Analytics, Online Harm


Fernandez, Miriam and Bellogin, Alejandro(2020). Recommender Systems and Misinformation: The Problem or the Solution? In: OHARS Workshop. 14th ACM Conference on Recommender Systems, 22-26 Sep 2020, [Online].

Cantador, Iván,María E., Cortés-Cediel and Fernandez, Miriam(2020). Exploiting Open Data to analyze discussion and controversy in online citizen participation. Information Processing and Management, 57(5), article no. 102301.

Fernandez, Miriam and Alani, Harith(2021). Artificial Intelligence and Online Extremism: Challenges and Opportunities. In: McDaniel, John and Pease, Ken eds. Predictive Policing and Artificial Intelligence. Routledge Frontiers of Criminal Justice. Abingdon: Routledge, pp. 132–162.

Ntoutsi, Eirini, Fafalios, Pavlos, Gadiraju, Ujwal, Iosifidis, Vasileios, Nejdl, Wolfgang, Vidal, Maria-Esther, Ruggieri, Salvatore, Turini, Franco, Papadopoulos, Symeon, Krasanakis, Emmanouil, Kompatsiaris, Ioannis, Kinder-Kurlanda, Katharina, Wagner, Claudia, Karimi, Fariba,Fernandez, Miriam, Alani, Harith, Berendt, Bettina, Kruegel, Tina, Heinze, Christian, Broelemann, Klaus, Kasneci, Gjergji, Tiropanis, Thanassis and Staab, Steffen ,(2020). Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining and Knowledge Discovery, 10(3), article no. e1356.

Farrell, Tracie, Fernandez, Miriam, Novotny, Jakub and Alani, Harith(2019). Exploring Misogyny across the Manosphere in Reddit. In: WebSci '19 Proceedings of the 10th ACM Conference on Web Science, pp. 87–96.

Fernandez, Miriam, Asif, Moizzah and Alani, Harith(2018). Understanding the Roots of Radicalisation on Twitter. In: In WebSci ’18: 10th ACM Conference on Web Science, 27-30 May 2018, Amsterdam, Netherlands, ACM (Association for Computing Machinery).

Fernandez, Miriam and Alani, Harith(2018). Online Misinformation: Challenges and Future Directions. In: WWW ’18 Companion: The 2018 Web Conference Companion, ACM, New York, pp. 595–602.

Saif, Hassan , He, Yulan , Fernández, Miriam and Alani, Harith(2016). Contextual semantics for sentiment analysis of Twitter. Information Processing and Management, 52(1) pp. 5–19.

Castells, Pablo,Fernandez, Miriam and Vallet, David(2007). An adaptation of the Vector-Space Model for ontology-based information retrieval. IEEE Transactions on Knowledge and Data Engineering, 19(2) pp. 261–272.

Fernández, Miriam, Cantador, Iván, López, Vanessa , Vallet, David,Castells, Pablo and Motta, Enrico(2011). Semantically enhanced information retrieval: an ontology-based approach. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 9(4) pp. 434–452.




Artificial Intelligence and Data AnalysisLearning and Multimedia Technologies


Accessibility, Inclusion, Ethics and Social Justice and Diversity

Citizen Empowerment, Politics and Government

Environment and Sustainability

Learning and Education

New Media and Society

Science and scholarly communication

Security and Policing, Forensics and Privacy


Learning Analytics (LA)Social Data Science Group (SDS)

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