My PhD is focused on multimodal analytics of multilingual news articles, with a specific emphasis on inferring and distinguishing geospatial, events and temporal information within news narratives. My objective is to employ advanced multimodal machine learning techniques to effectively bridge the gaps between visual and textual modalities. Furthermore, I aim to enrich news documents by integrating external knowledge derived from knowledge graphs, thereby enhancing the contextualization of news content. The contextualization is important to organize and analyze news documents in various applications such as fake news detection, fact checking, and news retrieval.
As an Early Stage Researcher (ESR) in the CLEOPATRA ITN, a Marie Skłodowska-Curie Innovative Training Network, I was responsible for facilitating advanced cross-lingual processing of event-centric textual and visual information through development of novel methods for extraction, verification and contextualisation of multilingual information. Additionally, my role in the FakeNarratives project aimed at understanding narratives of disinformation in public and alternative news videos has empowered me to directly confront one of the most significant real-world challenges.