20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. - Lorenzo Porcaro; Emilia Gómez (ISMIR, 2019)

A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. - Lorenzo Porcaro; Emilia Gómez (ImpactRS@RecSys, 2019)

Recognizing Musical Entities in User-generated Content. - Lorenzo Porcaro; Horacio Saggion (Computación y Sistemas, 2019)

Exploring Artist Gender Bias in Music Recommendation. - Dougal Shakespeare; Lorenzo Porcaro; Emilia Gómez; Carlos Castillo 001 (ComplexRec-ImpactRS@RecSys, 2020)

Balancing Exposure and Relevance in Academic Search. - Andres Ferraro; Lorenzo Porcaro; Xavier Serra (TREC, 2020)

How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. - Isabelle Hupont; Songül Tolan; Ana Freire; Lorenzo Porcaro; Sara Estevez; Emilia Gómez (ACII, 2021)

Measuring Diversity of Artificial Intelligence Conferences. - Ana Freire; Lorenzo Porcaro; Emilia Gómez (AIDBEI, 2021)

Emotion Annotation of Music: A Citizen Science Approach. - Nicolás Felipe Gutiérrez Páez; Juan Sebastián Gómez Cañón; Lorenzo Porcaro; Patricia Santos 001; Davinia Hernández-Leo; Emilia Gómez (CollabTech, 2021)

Diversity by Design in Music Recommender Systems. - Lorenzo Porcaro; Carlos Castillo 001; Emilia Gómez (Trans. Int. Soc. Music. Inf. Retr., 2021)

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. - Lorenzo Porcaro; Emilia Gómez; Carlos Castillo 001 (Zenodo, 2021)

Diversity in the Music Listening Experience: Insights from Focus Group Interviews. - Lorenzo Porcaro; Emilia Gómez; Carlos Castillo 001 (CHIIR, 2022)

Fair ranking: a critical review, challenges, and future directions. - Gourab K. Patro; Lorenzo Porcaro; Laura Mitchell; Qiuyue Zhang; Meike Zehlike; Nikhil Garg 001 (FAccT, 2022)

Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project. - Isabelle Hupont; Emilia Gómez; Songül Tolan; Lorenzo Porcaro; Ana Freire (CoRR, 2022)

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. - Lorenzo Porcaro; Emilia Gómez; Carlos Castillo 001 (Proc. ACM Hum. Comput. Interact., 2022)

Fairness and Diversity in Information Access Systems. - Lorenzo Porcaro; Carlos Castillo 001; Emilia Gómez; João Vinagre (EWAF, 2023)

Behind Recommender Systems: the Geography of the ACM RecSys Community. - Lorenzo Porcaro; João Vinagre; Pedro Frau; Isabelle Hupont; Emilia Gómez (CoRR, 2023)

Assessing the impact of music recommendation diversity on listeners - Lorenzo Porcaro (2023)

TROMPA-MER: an open dataset for personalized music emotion recognition. - Juan Sebastián Gómez Cañón; Nicolás Felipe Gutiérrez Páez; Lorenzo Porcaro; Alastair Porter; Estefanía Cano; Perfecto Herrera-Boyer; Aggelos Gkiokas; Patricia Santos 001; Davinia Hernández-Leo; Casper Karreman; Emilia Gómez (J. Intell. Inf. Syst., 2023)

Audio-based Music Retrieval. - Emilia Gómez; Helena Cuesta; Aggelos Gkiokas; Juan Sebastián Gómez Cañón; Lorenzo Porcaro; Furkan Yesiler (Information Retrieval: Advanced Topics and Techniques, 2024)

End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap. - Lorenzo Porcaro; Emilia Gómez; Tiziana Catarci (MuRS@RecSys, 2024)

MuRS 2024: 2nd Music Recommender Systems Workshop. - Andres Ferraro; Lorenzo Porcaro; Peter Knees; Christine Bauer 001 (RecSys, 2024)

Measuring and Fostering Diversity in Affective Computing Research. - Isabelle Hupont; Songül Tolan; Pedro Frau; Lorenzo Porcaro; Emilia Gómez (IEEE Trans. Affect. Comput., 2024)

Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. - Lorenzo Porcaro; Emilia Gómez; Carlos Castillo 001 (Trans. Recomm. Syst., 2024)

How to investigate algorithmic-driven risks in online platforms and search engines? A narrative review through the lens of the EU Digital Services Act. - Cecilia Panigutti; Delia Fano Yela; Lorenzo Porcaro; Astrid Bertrand; Josep Soler Garrido (FAccT, 2025)

Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems. - Jacopo de Berardinis; Lorenzo Porcaro; Albert Meroño-Peñuela; Angelo Cangelosi; Tess Buckley (CoRR, 2025)

Recommender systems, representativeness, and online music: A psychosocial analysis of Italian listeners. - Lorenzo Porcaro; Chiara Monaldi (CoRR, 2025)

How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments. - Daniel Raffini; Agnese Macori; Lorenzo Porcaro; Tiziana Catarci; Marco Angelini (CoRR, 2025)