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Savvas Zannettou

Savvas Zannettou has 2 papers in our library, in 2024–2025, most of them on Bias, fairness & safety, Sentiment & emotion, English; often with Fabricio Benevenuto, Michael Backes, Yang Zhang.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 36 · 147 works · 5,037 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8211

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

🎓Delft University of TechnologyDelft · Netherlands2021–2026 · 60 paperscurrent🔬Max Planck Institute for InformaticsSaarbrücken · Germany2018–2024 · 39 papers🎓Cyprus University of TechnologyLimassol · Cyprus2016–2020 · 36 papers🔬Max Planck SocietyMunich · Germany2019–2025 · 25 papers🎓Boston UniversityBoston · United States2018–2020 · 2 papers🔬Max Planck Institute of GeoanthropologyJena · Germany2020 · 2 papers🎓University College LondonLondon · United Kingdom2019–2020 · 2 papers🎓University of Alabama at BirminghamBirmingham · United States2017–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 2 worksEnglish · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification (2025 · 29 citations)
    Most safety studies of LLM agents look for overtly harmful behaviour, such as stealing data or moving money.
  2. A Comprehensive View of the Biases of Toxicity and Sentiment Analysis Methods Towards Utterances with African American English Expressions (2024 · 8 citations)
    The paper examines whether widely used toxicity and sentiment scorers treat text containing African American English (AAE) expressions unfairly.

 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 19 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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