Marco Viviani

Amicus Plato, sed magis amica veritas

Short Bio

Marco Viviani is an Associate Professor at the Università degli Studi di Milano-Bicocca, Department of Informatics, Systems, and Communication (DISCo).

He graduated in Computer Science (2004) and obtained a Ph.D. in Informatics (2008) from the Università degli Studi di Milano (La Statale), where he was involved in the research activities of the SESAR Lab.

In 2009 he obtained a one-year Postdoctoral Research Fellow at the Université de Bourgogne – Le2i Lab (Dijon, France). In 2010 he obtained a two-year Postdoctoral Research Fellow at the Institut National des Sciences Appliquées – LIRIS Lab (Lyon, France). From 2011 to 2013 he was a Postdoctoral Research Fellow at the Università degli Studi dell’Insubria – STRICT SociaLab (Varese, Italy). From 2015 to 2018 he was a Senior Postdoctoral Research Fellow at the Università degli Studi di Milano-Bicocca – IKR3 Lab, and from 2019 to 2021 an Assistant Professor (tenure track) at the same university and within the same research laboratory.

He is an Associate Editor of Social Network Analysis and Mining and Frontiers in Artificial Intelligence – Natural Language Processing, an Area Editor (Web Intelligence and E-Services) of the International Journal of Computational Intelligence Systems, an Editorial Board Member of Online Social Networks and Media, and a Guest Editor of several Special Issues in International Journals related to the problem of “information disorder” online, among which the Special Issue on Health Misinformation on Social Media, in the “International Journal of Environmental Research and Public Health”, and the “Special Issue on Information Analysis and Retrieval in Social Media“, in the “Informatics” International Journal.

His main research activities include Social Computing, Information Retrieval, Text Mining, Natural Language Processing, Trust and Reputation Management, Data Privacy, and User Modeling.

On these topics, he has published more than 80 research works in International Journals, at International Conferences, as Monographs, and as Book Chapters. Click here for the complete list of publications.

Online Scientific Profiles

Education

  • 2004: Master’s Degree in Computer Science, Università degli Studi di Milano
  • 2008: Ph.D. in Informatics, Università degli Studi di Milano. Ph.D. Thesis: “Aggregation-based Trust Management in Multi-agent Systems”
  • 2019: 24 ECTS credits in anthropo-psycho-pedagogical subjects and teaching methodology and technology, Università degli Studi di Roma “La Sapienza”

Qualifications

  • Abilitazione Scientifica Nazionale alle funzioni di professore universitario di seconda fascia (National Italian Qualification for the functions of Associate Professor), obtained from the Ministero dell’Istruzione, dell’Università e della Ricerca (Italy). Valid from January 14, 2020 to January 14, 2029.
  • Qualification aux fonctions de maitre de conferences (National French Qualification), obtained from the Ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation (France). Valid from January 27, 2017 to December 31, 2021.

Organization Activities

Other Chairing Activities

  • Local Organizer of the Mediterranean Machine Learning (M2L) Summer School / Milan, Italy
  • Workshop Chair of the 22nd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2023) / Venice, Italy
  • Area Chair for the track “Computational Social Science and Cultural Analytics” at the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 9-14, 2023 / Toronto, Canada
  • Publicity Chair of the 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), December 1-3, 2021 / Milan, Italy
  • Web Chair of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022), July 11-15, 2022 / Milan, Italy
  • Publicity Chair of the 19th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020), November 24-27, 2020 / Milan, Italy
  • Local Organization Chair of the 12th European Summer School in Information Retrieval (ESSIR 2019), July 15-19, 2019 / Milan, Italy
  • Web and Publicity Chair of the 12th International Conference on Scalable Uncertainty Management (SUM 2018) October 3-5 / Milan, Italy
  • Tutorial Chair of the 12th International Workshop on Fuzzy Logic and Applications (WILF 2018) September 6-8, 2018 / Genova, Italy

Main Research Projects

  • Associate Investigator [2024–25]. KURAMi: Knowledge-based, explainable User empowerment in Releasing private data and Assessing Misinformation in online environments. Funding: Italian Ministry of Research PRIN 2022 (Progetti di Rilevante Interesse Nazionale)
  • [2024-24] Member. AMAR: Adaptive Models for context-Aware Representation and understanding of multimedia content. Funding: PNRR 2022 National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza), Cascade Funding
  • Member (WP4: Consumer Health Information Analysis and Search, WP6: AI and Big Data for a Responsible and Trustworthy Communication Society) [2024–2025]. HPC, Big Data and Quantum Computing (Simulazioni, calcolo e analisi dei dati ad alte prestazioni, CN1) – Spoke 9: Digital Society and Smart Cities. Funding: PNRR 2022 National Recovery and Resilience Plan (Piano Nazionale di Ripresa e Resilienza), Cascade Funding
  • Member [2023–2025]. LeMuR: Learning with Multiple Representations. Funding: MSCA-DN (Marie Skłodowska-Curie Actions Doctoral Network) 2021
  • Principal Investigator [2021–2024]. Natural Language Processing and Computer Vision applied to information extraction, classification, linking, and retrieval in legaltech, fintech, proptech, and insurtech. Funding: Lombardy Region. Project ID 3874245 CUP: H45E22000940002
  • Member [2022–2023]. PerLIR: Personal Linguistic resources in Information Retrieval. Funding: Italian Ministry of Research PRIN 2019 (Progetti di Rilevante Interesse Nazionale)
  • Member. ESR Supervisor (Project 8: Assessing Credibility, Value, and Relevance) [2021–2023]. DoSSIER: Domain-Specific Systems for Information Extraction and Retrieval. Funding: EU Horizon 2020 ITN/ETN

Peer Reviewer for Research Projects

  • Hrvatska zaklada za znanost (HRZZ) | Croatian Science Foundation
  • Wiener Wissenschafts-, Forschungs- und Technologiefonds (WWTF) | Vienna Science and Technology Fund

Editorial Activities

Member of Associations

Program Committees

  • NLDB2024 / The 29th International Conference on Natural Language & Information Systems / June 25-27, 2024, Turin, Italy
  • IEEE BigData 2024 / IEEE International Conference on Big Data (IEEE BigData 2024) / December 15-18, 2024, Washington DC, USA
  • ADBIS 2024 / The 28th European Conference on Advances in Databases and Information Systems / August 28-31, 2024, Bayonne, France
  • SIGIR’24 / The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval / July 14-18, 2024, Washington D.C., USA
  • LREC-Coling 2024 / The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation / May 20-25, 2024, Turin, Italy
  • ACM WebSci’24 / The 16th ACM Web Science 2024 / May 21-24, 2024, Stuttgart, Germany
  • ECIR 2024 / The 46th European Conference on Information Retrieval / March 24-28, 2023, Glasgow, Scotland
  • ACM SAC 2024 / The 39th ACM/SIGAPP Symposium On Applied Computing, IAR Track (on Information Access and Retrieval) / April 8-12, 2024, Avila, Spain
  • AAAI 2024 / The Thirty-Eighth AAAI Conference on Artificial Intelligence, and Special Track on AI for Social Impact / February 20-27, 2024, Vancouver, Canada
  • GENERAL23 / GENerative, Explainable, and Reasonable Artificial Learning Workshop @ CHItaly 2023 / September 20-22, 2023, Turin, Italy
  • ECAI 2023 / 26th European Conference on Artificial Intelligence / September 30 – October 5, 2023, Kraków, Poland
  • HT’23 / The 33rd ACM Conference on Hypertext and Social Media / September 4-7, 2023, Roma, Italy
  • ECML PKDD 2023 / European Conference on Machine Learning and Data Mining / September 18-22, 2023, Torino, Italy
  • IEEE BigData 2023 / IEEE International Conference on Big Data (IEEE BigData 2023) / December 15-18, 2023, Sorrento, Italy
  • KDIR 2023 / The 15th International Conference on Knowledge Discovery and Information Retrieval / November 13-15, 2023, Rome, Italy
  • SIGIR 2023 / The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval / July 23-27, 2023, Taipei, Taiwan
  • MEDES 2023 / The 15th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2023 / May 5-7, 2023, Heraklion, Crete, Greece
  • ACL 2023 / The 61st Annual Meeting of the Association for Computational Linguistics / July 9-14, 2023, Toronto, Canada
  • ACM WebSci’23 / The 15th ACM Web Science 2023 / April 30th – May 1st. Co-located with The Web Conference, Austin, Texas, USA
  • ECIR 2023 / The 45th European Conference on Information Retrieval / April 2-6, 2023, Dublin, Ireland
  • AAAI 2023 / The Thirty-Seventh AAAI Conference on Artificial Intelligence, and Special Track on AI for Social Impact / Washington, DC, USA, February 7-14, 20243
  • MEDES 2022 / The 14th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2022 / October 19-21, 2022, Venice, Italy
  • GoodIT 2022 / ACM International Conference on Information Technology for Social Good / September 7-9, 2022, Limassol, Cyprus
  • CLEF 2022 / Conference and Labs of the Evaluation Forum / Bologna, Italy, September 5-8, 2022
  • Mediate 2022 / News Media and Computational Journalism Workshop, collocated with ICWSM 2022 / Online and Atlanta, GA, United States, June 6, 2022
  • BigData 2022 / IEEE International Conference on Big Data / Osaka, Japan, December 10-17, 2022
  • FLAIRS-35 / The 35th International Conference of the Florida Artificial Intelligence Research Society / Jensen Beach, FL, USA, May 15-18, 2022
  • TPDL 2022 / The 26th International Conference on Theory and Practice of Digital Libraries / September 20-23, 2022, Padua, Italy
  • eKNOW 2022 / The Fourteenth International Conference on Information, Process, and Knowledge Management / June 26-30, 2022, Porto, Portugal
  • ACM WebSci’22 / The 14th ACM Web Science Conference 2022 / June 26-29, 2022, Barcelona, Spain
  • LREC 2022 / The 13th Language Resources and Evaluation Conference / June 20-25, 2022, Marseille, France
  • ECIR 2022 / The 44th European Conference on Information Retrieval / April 10-14, 2022, Stavanger, Norway
  • MEDES 2021 / The 13th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2021 / November 1-3, 2021, Hammamet, Tunisia
  • GoodIT 2021 / ACM International Conference on Information Technology for Social Good / September 9-11, 2021, Rome, Italy
  • OHARS-2021 / Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems / September 25-October 2, 2021 – Amsterdam, Netherlands (virtual event)
  • eKNOW 2021 / The Thirteenth International Conference on Information, Process, and Knowledge Management / July 18-22, 2021 – Nice, France (virtual event)
  • ACM WebSci’21 / The 13th ACM Web Science Conference 2021 / Organized by the University of Southampton (delivered online)
  • ECIR 2021 / The 43rd European Conference on Information Retrieval / Lucca, Italy (delivered online)
  • AAAI 2021 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (delivered online)
  • FLAIRS-34 / The 34th International Conference of the Florida Artificial Intelligence Research Society / North Miami Beach, Florida, USA (delivered online)
  • MEDES 2020 / The 12th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2020 / Abu Dhabi, UAE
  • OHARS 2020 / Workshop on Online Misinformation- and Harm-Aware Recommender Systems (Co-located with RecSys 2020) / Rio de Janeiro, Brazil
  • ACM WebSci’20 / The 12th International ACM Web Science Conference 2020 / Southampton, UK
  • IJCAI-PRICAI 2020 / The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence / Yokohama, Japan
  • DATA ANALYTICS 2020 / The Ninth International Conference on Data Analytics / Nice, France
  • ICWSM-2020 / The 14th International Conference on Web and Social Media / Atlanta, Georgia, USA
  • AAAI-20 / The Thirty-Fourth AAAI Conference on Artificial Intelligence / New York, USA
  • eKNOW 2020 / The 12th International Conference on Information, Process, and Knowledge Management / Barcelona, Spain
  • FLAIRS-33 / The 33rd International FLAIRS Conference / North Miami Beach, Florida, USA
  • ECIR 2020 / The 42nd European Conference on Information Retrieval / Lisbon, Portugal
  • ACM SAC 2020 / The 35th ACM/SIGAPP Symposium On Applied Computing, IAR Track (on Information Access and Retrieval) and KomIS Track (Knowledge Discovery meets Information Systems) / Brno, Czech Republic
  • ALLDATA 2020, The Sixth International Conference on Big Data, Small Data, Linked Data, and Open Data / Lisbon, Portugal
  • IEA/AIE 2020 / The 33 International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems / Kitakyushu, Japan
  • IEEE DSAA 2019 / The 6th IEEE International Conference on Data Science and Advanced Analytics / Washington DC, USA
  • CLiC-it 2019 / The 6th Italian Conference on Computational Linguistics / Bari, Italy
  • SIMPDA 2019 / The 9th International Symposium on Data-driven Process Discovery and Analysis / Bled, Slovenia
  • IEEE SERVICES 2019 / The IEEE World Congress on Services, IEEE SERVICES 2019 Workshop on New Advances in FinTech / Milan, Italy
  • MEDES 2019 / The 11th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2019 / Limassol, Cyprus
  • IJCAI 2019 / The 28th International Joint Conference on Artificial Intelligence / Macao, China
  • ECIR 2019 / The 41st European Conference on Information Retrieval / Cologne, Germany
  • eKNOW 2019 / The 11th International Conference on Information, Process, and Knowledge Management / Athens, Greece
  • ACM SAC 2019 / The 34th ACM/SIGAPP Symposium On Applied Computing, IAR Track (on Information Access and Retrieval) / Limassol, Cyprus
  • DSAA 2018 / The 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA), BFPData special track (on Opportunities and Risks for Data Science in Organizations: Banking, Finance, and Policy) / Turin, Italy
  • Web Intelligence (WI) 2018 / IEEE/WIC/ACM International Conference on Web Intelligence / Santiago, Chile
  • MEDES 2018 / The 10th International ACM SIGAPP Conference on Management of Emergent Digital Ecosystems 2018, main conference and SCADE special track (on Soft Computing & Applications in Digital Ecosystems) / Tokyo, Japan
  • SUM 2018 / The 12th International Conference on Scalable Uncertainty Management / Milan, Italy
  • IJCAI 2018 / The 27th International Joint Conference on Artificial Intelligence / Stockholm, Sweden
  • ECIR 2018 / The 40th European Conference on Information Retrieval / Grenoble, France
  • ACM SAC 2018 / The 33rd ACM/SIGAPP Symposium On Applied Computing / Pau, France
  • SITIS 2017 / The 13th International Conference on Signal-Image Technology & Internet Systems / Jaipur, India
  • FUZZ-IEEE 2017 / The 2017 IEEE International Conference on Fuzzy Systems, Naples, Italy
  • IEA/AIE 2017 / The 30th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Arras, France
  • ACM SAC 2017 / The 32nd ACM/SIGAPP Symposium On Applied Computing / Marrakech, Morocco
  • SITIS 2016 / The 12th International Conference on Signal-Image Technology & Internet Systems / Naples, Italy
  • ACM SAC 2016 / The 31st ACM/SIGAPP Symposium on Applied Computing / Pisa, Italy
  • IEEE DSAA’ 2015 / 2015 IEEE International Conference on Data Science and Advanced Analytics / Paris, France
  • KDDA 2015 / Knowledge Discovery and Data Analysis / Esi, Algeria
  • ICTIR 2015 / ACM SIGIR International Conference on the Theory of Information Retrieval / Northampton, Massachusetts, USA
  • KITA 2015 / The 1st International Workshop on the design, development, and use of Knowledge IT Artifacts in professional communities and aggregations / Lisbon, Portugal
  • IEEE DEST-CEE 2012 / The 6th IEEE International Conference on Digital Ecosystems and Technologies for Complex Systems, Environment, and Service Engineering / Campione d’Italia, Italy
  • METHOD 2012 / The 1st IEEE International Workshop on Methods for Establishing Trust with Open Data @ COMPSAC 2012 / Izmir, Turkey
  • MultiA-Pro 2012 / International Workshop on Interoperability of User Profiles in Multi-Application Web Environments / Lyon, France
  • MultiA-Pro 2010 / International Workshop on User Profiles in Multi-application Environments / Nice, France

Peer Reviewer for International Journals

Awards

Keynote Speeches, Seminars, and Lectures

  • Invited talk. Natural Language Processing Techniques for Psychological Distress Assessment. Milan Workshop on Computational Methods For Mental Health and Well Being. June 13, 2024 / University of Milano-Bicocca, Milan (Italy)
  • Seminar. NLP and Sentiment Analysis. November 22, 2023 / University of Milan (LaStatale), Milan (Italy).
  • Lecture. Decoding the Online Truth: Addressing Veracity Challenges in Information Access. IANUA Summer School 2023. July 13-15, Dipartimento di Scienze della Formazione (DiSFor), University of Genoa, Genoa (Italy).
  • Seminar. Unravelling Consumer Health Search: Characteristics and Challenges in the Online Landscape. Institut National des Sciences Appliquées (INSA), Laboratoire d’InfoRmatique en Image et Systèmes d’information. May 23rd, 2023, Lyon (France).
  • Invited talk. Consumer Health Search in the Social Web. Personalised Services for the Elders. Discussing design options in an interdisciplinary and intercultural way. Villa Vigoni, German-Italian Center for the European Dialogue. Loveno di Menaggio (Como), Italy. November 28th, 2022 – December 2nd, 2022
  • Keynote speech. Accessing Credible Information in the Social Web. September 25, 2020 / CLEF eHealth 2020 – Task 2: Consumer Health Search. Virtual Conference
  • Lecture. The Issue of Information Credibility in the Social Web. September 18, 2019 / International Summer School on Advances in Artificial Intelligence. Lake Como School of Advanced Studies. Villa del Grumello, Como (Italy)
  • Seminar. Assessing the credibility of User-Generated Content in social media. June 6, 2017 / Institut National des Sciences Appliquées (INSA), Laboratoire d’InfoRmatique en Image et Systèmes d’information, Lyon (France).
  • Seminar. Aggregation Operators for Trust Management in Multi-agent Systems. November 10, 2011 / Institut National des Sciences Appliquées (INSA), Laboratoire d’InfoRmatique en Image et Systèmes d’information, Lyon (France).
  • Seminar. Intégration et Interopérabilité dans le partage confidentiel de données dans le cadre de la Simulation en Imagerie Médicale. 3e journée SIMED-ISLE, Intégration & interopérabilité données/logiciels/calculs, June 10, 2010 / Université de Grenoble, Grenoble (France).

Ph.D. Thesis Supervision

  • Renzo Arturo Alva Principe (Supervisor). XXXVII Ph.D. cycle.
  • Rishabh Upadhyay (Supervisor). Addressing the Challenge of Online Health Misinformation: Detection, Retrieval, and Explainability. XXXVI Ph.D. cycle.
  • Sondess Missaoui (Co-supervisor). Context-Aware Approaches to Mobile Search. XXX Ph.D. cycle.

Ph.D. Reviewer and Committee Member

  • Alessandro Balestrucci. Potential Target Audience of Misinformation on Social Media: Credulous Users. XXXII Ph.D. cycle. GSSI Gran Sasso Science Institute. L’Aquila, Italy
  • Marcos Fernández-Pichel. Technologies For Extracting and Analysing the Credibility of Health-Related Online Content. University of Santiago de Compostela. A Coruña, Spain
  • Daniele Spoladore. A novel and validated agile Ontology Engineering methodology for the development of ontology-based applications. XXXV Ph.D. cycle. University of Insubria. Varese, Italy
  • Aleksandra Nabożny. Credibility Evaluation of Online Health Information using Human in the Loop Machine Learning. Polish-Japanese Academy of Information Technology. Warszawa, Poland

Master’s and Bachelor’s Thesis Supervision

  • Simone Fermini (Supervisor). Compass Group si rinnova: strategie e strumenti per una nuova comunicazione (Compass Group gets a makeover: strategies and tools for new communication). Master's Degree in Theory and Technology of Communication.
  • Alessandro Fossati (Supervisor). Analisi multi-lingua e multi-piattaforma dei comportamenti dei lettori sui siti di recensioni di libri mediante tecniche di elaborazione del linguaggio naturale (Multi-language and Multi-platform Analysis of Readers' Behaviors on Book Review Sites using Natural Language Processing Techniques). Master's Degree in Data Science.
  • Laura Gotra (Supervisor). Identificazione automatica di bot nei social media. Evidenza di un caso: applicazione in ambito medico (Automatic identification of bots in social media. Case evidence: Medical application). Master's Degree in Computer Science.
  • Fabio Pasquale Lombardi (Supervisor). Studio di tecniche di text mining per l'analisi di whitepaper di ICO e STO (Study of text mining techniques for whitepaper analysis of ICOs and STOs). Master's Degree in Data Science.
  • Davide Mancino (Supervisor). Textual Content Representation and Analysis Applied to the Study of Reward Systems in a Blockchain-based Social Platform. Master’s Degree in Data Science.
  • Corrado Montoro (Supervisor). L'uso di dati testuali per la valutazione predittiva del rischio di ideazione suicidaria (The use of textual data for predictive risk assessment of suicidal ideation). Master’s Degree in Data Science.
  • Alessandro Motta (Supervisor). Assessing data disclosure in social media: the Twitter case study. Master’s Degree in Data Science.
  • Artjoms Olzojevs (Supervisor). Studio del rischio di privacy legato ai comportamenti degli utenti nelle piattaforme sociali (Study of privacy risk related to user behaviors in social platforms). Master's Degree in Data Science.
  • Antonio Pennacchia (Co-supervisor). ABB Product Recommendation. Master's Degree in Data Science.
  • Roberto Salerno (Supervisor). Studio di tecniche di Prompt Learning applicate all’Information Retrieval (Study of Prompt Learning techniques applied to Information Retrieval). Master's Degree in Data Science.
  • Irene Santoro (Co-supervisor). NLP for non-inclusive gender language detection: An NLP methodology for non-inclusive language detection in university administrative documents. Master's Degree in Data Science.
  • Gabriele Strano (Supervisor). Applicazione di tecniche di elaborazione del linguaggio naturale all’analisi dei contenuti online relativi a Metro Italia SPA (Application of Natural Language Processing techniques to the analysis of online content related to Metro Italia SPA). Master's Degree in Data Science.
  • Kevin Tranchina (Supervisor). Studio e sviluppo di un sistema conversazionale "intent-" e "domain-dependent" (Study and development of an "intent-" and "domain-dependent" conversational system). Master’s Degree in Data Science.
  • Simone Tufano (Supervisor). Sviluppo di una soluzione per la generazione di FAQ da contenuti sociali legati alla salute e di un sistema conversazionale di tipo ‘retrieval-based’ (Development of a solution for generating FAQs from health-related social content and a 'retrieval-based' conversational system). Master’s Degree in Data Science.
  • Emanuela Vaghi (Co-supervisor). Content Analysis for Social Good on Health Virtual Communities. Master’s Degree in Data Science.
  • Gabriele Zottola (Supervisor). Echo chamber detection: topological and semantic analysis. Master’s Degree in Data Science.

  • Alessandro Cogliati (Co-supervisor). Analysis of the Credibility of Health-Related Information in Social Media. Bachelor’s Degree in Computer Science.
  • Lorenzo Filippo Colombo (Co-supervisor). Aggregazione delle preferenze in un sistema per la raccomandazione di informazioni a gruppi di utenti (Aggregation of preferences in a system for recommending information to groups of users). Master’s Degree in Data Science.
  • Federico Comotto (Supervisor). The Phenomenon of Echo Chambers in Social Media: Quantification and Reduction of Controversy. Master’s Degree in Data Science.
  • Stefano Di Sotto (Supervisor). Studio e implementazione di tecniche per la valutazione della credibilità dell'informazione medica online (Study and implementation of techniques for assessing the credibility of online medical information). Master’s Degree in Computer Science.
  • Pranav Kasela (Co-supervisor). User Modellingbased on NLP. Master’s Degree in Data Science.
  • Daniel Leidi (Co-supervisor). Un motore di ricerca nell’ambito dei media sociali. Studio di aspetti legati alle dimensioni di rilevanza rispetto allo scopo della ricerca (A search engine in the field of social media. Study of aspects related to relevance dimensions to the purpose of search). Master’s Degree in Computer Science.
  • Matteo Mazzola (Supervisor). Valutazione dell’impatto psicologico del COVID-19 attraverso l’analisi dei tweet (Evaluation of the psychological impact of COVID-19 through the analysis of tweets). Master’s Degree in Data Science.
  • Andrea Nicolosi (Co-supervisor). Un motore di ricerca basato su ElasticSearch per contenuti sociali relativi al COVID-19 (A search engine for social content related to COVID-19 based on ElasticSearch). Master's Degree in Computer Science.
  • Bruno Palazzi (Co-supervisor). Definizione di un motore di ricerca personalizzato basato sul modello BERT (Definition of a personalized search engine based on the BERT model). Master's Degree in Computer Science.
  • Simone Perego (Co-supervisor). Implementazione di un data lake per la Labour Market Intelligence (Implementation of a data lake for Labor Market Intelligence). Master’s Degree in Computer Science.
  • Francesco Talarico (Supervisor). Study of credibility-based automatic text summarization techniques. Master’s Degree in Data Science.
  • Giacomo Villa (Supervisor). Analisi della topologia e dei contenuti delle comunità virtuali per lo studio del fenomeno delle camere d’eco (Analysis of the topology and contents of virtual communities for the study of the phenomenon of echo chambers). Master’s Degree in Computer Science.

  • Alessandro Pontiggia (Co-supervisor). Product Mapper: tecniche di text mining applicate alla gestione del risparmio (Product Mapper: text mining techniques applied to asset management). Master’s Degree in Data Science.

  • Luca Chiodini (Co-supervisor). Verso l’identificazione automatica di utenti Twitter a rischio binge drinking (Towards the automatic identification of Twitter users at risk of binge drinking). Bachelor’s Degree in Computer Science.
  • Marco De Grandis (Co-supervisor). Fake News Detection in Microblogging through Multi-Criteria Decision Making. Master’s Degree in Computer Science.
  • Marco De Zio (Co-supervisor). Un approccio model-driven per la definizione di modelli di ranking in Information Retrieval (A model-driven approach for defining ranking models in Information Retrieval). Master’s Degree in Computer Science.
  • Daniel Leidi (Co-supervisor). Acquisizione e analisi di dati di utenti in ambito immobiliare (Acquisition and analysis of user data in the real estate sector). Bachelor’s Degree in Computer Science.

  • Elias Bassani (Co-supervisor). Un approccio per la valutazione automatica della qualità dell’informazione generata dagli utenti su Wikipedia (An approach for the automatic evaluation of the quality of information generated by users on Wikipedia). Master’s Degree in Computer Science.
  • Ernesto Cecco D’Ortona (Co-supervisor). BigUp. Uno strumento per la diffusione meritocratica di informazione nelle reti sociali virtuali (BigUp. A tool for the meritocratic dissemination of information in virtual social networks). Master’s Degree in Theory and Technology of Communication.
  • Alessandro Pietra (Co-supervisor). Sviluppo di un’applicazione Web per l’analisi di news pubblicate su Facebook e Twitter da testate giornalistiche italiane (Development of a Web application for the analysis of news published on Facebook and Twitter by Italian newspapers). Master’s Degree in Computer Science.

  • Daniele Casiero (Co-supervisor). Tecniche per l’identificazione di falsa informazione e disturbatori (troll) nei Social Media (Techniques for identifying false information and trolls in Social Media). Bachelor’s Degree in Computer Science.
  • Alessio Serafino (Co-supervisor). Credibilità delle informazioni nel Web sociale: estrazione e analisi di contenuto generato dagli utenti (Credibility of information in the Social Web: extraction and analysis of user-generated content). Master’s Degree in Computer Science.

Teaching

  • Graph Theory and Algorithms. Ph.D. Course, Università degli Studi di Milano-Bicocca
  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, IX Edizione (Master’s degree in Music Publishing and Production, 9th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Informatica per le Scienze della Terra (Computer Science for Earth Sciences), Bachelor's Degree in Geological Sciences and Technologies, Università degli Studi di Milano-Bicocca
  • Social Media Analytics, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca
  • Strumenti e Applicazioni del Web (Web Tools and Applications), Master's Degree in Theory and Technology of Communication, Università degli Studi di Milano-Bicocca
  • Text Mining and Search, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca

  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, VIII Edizione (Master’s degree in Music Publishing and Production, 8th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Informatica per le Scienze della Terra (Computer Science for Earth Sciences), Bachelor's Degree in Geological Sciences and Technologies, Università degli Studi di Milano-Bicocca
  • Social Media Analytics, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca
  • Strumenti e Applicazioni del Web (Web Tools and Applications), Master's Degree in Theory and Technology of Communication, Università degli Studi di Milano-Bicocca
  • Text Mining and Search, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca

  • Graph Theory and AlgorithmsPh.D. Course, Università degli Studi di Milano-Bicocca
  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, VII Edizione (Master’s degree in Music Publishing and Production, 7th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Informatica per le Scienze della Terra (Computer Science for Earth Sciences), Bachelor's Degree in Geological Sciences and Technologies, Università degli Studi di Milano-Bicocca
  • Social Media Analytics, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca
  • Text Mining and Search, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca

  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, VI Edizione (Master’s degree in Music Publishing and Production, 6th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Informatica per le Scienze della Terra (Computer Science for Earth Sciences), Bachelor's Degree in Geological Sciences and Technologies, Università degli Studi di Milano-Bicocca
  • Social Media Analytics, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca
  • Text Mining and Search, Master's Degree in Data Science, Università degli Studi di Milano-Bicocca

  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, V Edizione (Master’s degree in Music Publishing and Production, 5th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Informatica per le Scienze della Terra (Computer Science for Earth Sciences), Bachelor's Degree in Geological Sciences and Technologies, Università degli Studi di Milano-Bicocca
  • Social Media AnalyticsMaster's Degree in Data Science, Università degli Studi di Milano-Bicocca
  • Text Mining and SearchMaster's Degree in Data Science, Università degli Studi di Milano-Bicocca

  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, IV Edizione (Master’s degree in Music Publishing and Production, 4th Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Linguaggi di Programmazione – Tutoraggio (Programming Languages – Tutoring), Bachelor's Degree in Computer Science, Università degli Studi di Milano-Bicocca

  • Informatica – Editoria digitale (Computer Science – Electronic publishing), Master di I livello in Editoria e Produzione Musicale, III Edizione (Master’s degree in Music Publishing and Production, 3rd Edition), Libera università di lingue e comunicazione IULM (International University of Languages and Media)
  • Linguaggi di Programmazione – Esercitazioni (Programming Languages – Exercises), Bachelor's Degree in Computer Science, Università degli Studi di Milano-Bicocca