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Maurizio Tesconi

Maurizio Tesconi has 2 papers in our library, in 2018–2026, most of them on Sentiment & emotion, Evaluation & benchmarks, Bias, fairness & safety; often with Cristina Bosco, Fabio Poletto, Felice Dell'Orletta.

2 papers in our library · 2018–2026

OpenAlex · ORCID · Wikidata · h-index 33 · 216 works · 5,164 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 135 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5301

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Institute of Informatics and TelematicsPisa · Italy2005–2026 · 106 paperscurrent🤝National Research CouncilRome · Italy2007–2026 · 60 paperscurrent🏛️National Academies of Sciences, Engineering, and MedicineWashington · United States2013–2026 · 3 paperscurrent🎓University of PisaPisa · Italy2017–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 workExperimental and Cognitive Psychology · 1 workHuman-Computer Interaction · 1 workPsychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 2 worksBias, fairness & safety · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Overview of the EVALITA 2018 Hate Speech Detection Task (2018 · 249 citations)
    HaSpeeDe was the first shared evaluation campaign for detecting hate speech (HS) in Italian social media, held at EVALITA 2018.
  2. Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance (2026)
    Emoji reactions, which readers attach to posts as lightweight feedback, have often been used as proxy emotion labels for distant supervision.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Overview of the EVALITA 2018 Hate Speech Detection TaskEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopCristina Bosco, Felice Dell'Orletta, Fabio Poletto, et al.2018 · 249 citations
  2. TweepFake: about Detecting Deepfake Tweets ↗arXiv:2008.00036 · no summary yetTiziano Fagni et al.2020 · 234 citations
  3. Emoji Reactions on Telegram: Unreliable Indicators of Emotional ResonanceWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisSerena Tardelli, Lorenzo Alvisi, Lorenzo Cima, et al.2026

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 135 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated

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