🧑‍🔬 Sarah Ita Levitan

🏛️ Affiliations

🎓Hunter CollegeNew York · United States2020–2026 · 25 papersEmployment since 2020 · Assistant Professor, Computer Sciencecurrent🎓The Graduate Center, CUNYNew York · United States2026 · 1 papercurrent🎓Columbia UniversityNew York · United States2013–2020 · 8 papersEducation 2013–2019 · PhD, Computer Science🎓City University of New YorkNew York · United States2022–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Detecting Multilingual COVID-19 Misinformation on Social Media via Contextualized Embeddings (2021 · 25 citations)
   The authors build classifiers that flag COVID-19 misinformation in tweets written in English, Bulgarian and Arabic.
2. Subjectivity Detection in English News using Large Language Models (2024 · 7 citations)
   The paper asks whether language models can reliably tell opinionated sentences from factual reporting in news, and whether that ability survives a move to news from different sources and topics.
3. Council of LLMs: Evaluating Capability of Large Language Models to Annotate Propaganda (2026)
   This study asks whether large language models can reliably annotate propaganda, a subjective task where human labels are expensive and inconsistent.
4. The Impact of Highlighting Subjective Language on Perceived News Trustworthiness (2026)
   The paper asks whether pointing out subjective language in news makes readers trust it less. Instead of detecting misinformation automatically, it studies reader perception. The authors took true COVID-19 vaccination articles from the CoAID dataset and filtered them with a fine-tuned RoBERTa subjectivity classifier.…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Linguistic Cues to Deception and Perceived Deception in Interview Dialogues ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetSarah Ita Levitan, Angel Maredia, Julia Hirschberg2018 · 71 citations
2. Detecting Multilingual COVID-19 Misinformation on Social Media via Contextualized EmbeddingsWorkshop on NLP for Internet Freedom: Censorship, Disinformation, and PropagandaSubhadarshi Panda, Sarah Ita Levitan2021 · 25 citations
3. Subjectivity Detection in English News using Large Language ModelsWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisMohammad Shokri, Vivek Sharma, Elena Filatova, et al.2024 · 7 citations
4. Council of LLMs: Evaluating Capability of Large Language Models to Annotate PropagandaWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisVivek Sharma, Shweta Jain, Mohammad Shokri, et al.2026
5. The Impact of Highlighting Subjective Language on Perceived News TrustworthinessWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisMohammad Shokri, Vivek Sharma, Emily Klapper, et al.2026
6. HunterSpeechLab at GermEval 2021: Does Your Comment Claim A Fact? Contextualized Embeddings for German Fact-Claiming Comment Classification ↗Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments · no summary yetSubhadarshi Panda, Sarah Ita Levitan2021

🤝 Co-authors here

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

• Elena Filatova ×3
• Mohammad Shokri ×3
• Shweta Jain ×3
• Vivek Sharma ×3

Venues

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

• Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis ×3: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2026 ×2, Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2024
• Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda: Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda 2021
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
• Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments

🔗 Cited by

Papers of our library cite their works 25 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated 1 November 2026

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