🎓THIS WEBSITE IS UNDER CONSTRUCTION (LAST MODIFICATION: 25/09/24)
I am Associate Professor at Università di Bologna since 2022 (after three years as Senior assistant professor; RTDb, in the Italian system). I have been working on the (cross-language) assessment of text looking at different aspects such as originality (e.g., plagiarism detection) and intent (e.g., propaganda, hate speech).
Visit my UniBO website for university matters.
Before landing at UniBO, I spent 5 years as a Scientist at the Language Technologies group of QCRI and 2 as research fellow at TALP.
Publications
Citations
h-index
I am an Associate Professor at Università di Bologna. My main mission is bringing (real) computing to the Department of Interpreting and Translation.
I research on the analysis and identification of harming contents online (from hate speech to propaganda and disinformation), I also play with NLP for Gastronomy and laterly I am engaged with varieties of languages.
Do not hesitate to reach out 😃
Overview Research on knowledge graph construction (KGC) has recently shown great promise also thanks to the adoption of large language models (LLM) for the automatic extraction of structured information from raw text.
Overview This study examines whether the psycholinguistic and demographic characteristics of authors of online texts are correlated with the way harmful language, such as toxicity and hate speech, is judged. We apply artificial intelligence models to two harmful language datasets, Jigsaw’s Special Rater Pool dataset and the Measuring Hate Speech dataset, to generate probabilities for different text aspects, namely inferring demographic information of the author behind the suspicious text in terms of age and gender, as well as the expressed emotions, emotionality, sentiment and communication style.
Overview Electronic mail (email) is one of the most popular communication media for direct and private communication. Being typically a free service and anonymity-friendly, massive spam email campaigns are common. Nowadays, spam email encompasses scam, phishing, malware distribution, and various other cybersecurity threats.
This paper was led by Arianna Muti as part of her PhD.
Embed videos, podcasts, code, LaTeX math, and even test students!
