2026 Svetlana Kiritchenko: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11002	10692	438	419	76	9871

Overview

Svetlana Kiritchenko is affiliated with the National Research Council Canada. Their research contributions primarily focus on the intersection of computer science and social sciences, with a strong emphasis on artificial intelligence and its applications in social contexts.

The main fields of study in their work include:

Computer Science

Within this broad discipline, Kiritchenko's subfields of study cover:

Artificial Intelligence
Sociology and Political Science
Social Psychology
Communication
General Social Sciences

The research topics they address span both technical and social dimensions, including:

Hate Speech and Cyberbullying Detection
Explainable Artificial Intelligence (XAI)
Adversarial Robustness in Machine Learning
Social Media and Politics
Media Influence and Politics
Mental Health via Writing
Sentiment Analysis and Opinion Mining

Svetlana Kiritchenko has contributed to multiple publication venues. Frequent platforms for their work include:

arXiv (Cornell University)
AEA Randomized Controlled Trials
Journal of Social and Personal Relationships
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Recent papers by Kiritchenko illustrate a blend of social science and machine learning topics, such as:

Examining the language of solitude versus loneliness in tweets, 2021, Journal of Social and Personal Relationships
Using Nuances of Emotion to Identify Personality, 2021, Proceedings of the International AAAI Conference on Web and Social Media
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods, 2025, Journal of Artificial Intelligence Research

The scientist has collaborated extensively with other researchers, frequently coauthoring with the following individuals:

Kathleen Fraser
Isar Nejadgholi
Esma Balkır
Anna Kerkhof
Saif M. Mohammad

Best Publications

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

Saif Mohammad;Svetlana Kiritchenko;Xiaodan Zhu

1091
Citations
Sentiment analysis of short informal texts

Svetlana Kiritchenko;Xiaodan Zhu;Saif M. Mohammad

1067
Citations
SemEval-2016 Task 6: Detecting Stance in Tweets

Saif Mohammad;Svetlana Kiritchenko;Parinaz Sobhani;Xiaodan Zhu

897
Citations
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

Svetlana Kiritchenko;Xiaodan Zhu;Colin Cherry;Saif Mohammad

775
Citations
SemEval-2018 Task 1: Affect in Tweets

Saif Mohammad;Felipe Bravo-Marquez;Mohammad Salameh;Svetlana Kiritchenko

775
Citations
Using Hashtags to Capture Fine Emotion Categories from Tweets

Saif M. Mohammad;Svetlana Kiritchenko

479
Citations
Stance and Sentiment in Tweets

Saif M. Mohammad;Parinaz Sobhani;Svetlana Kiritchenko

474
Citations
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems

Svetlana Kiritchenko;Saif M. Mohammad

408
Citations
Email classification with co-training

Svetlana Kiritchenko;Stan Matwin

320
Citations
Sentiment, emotion, purpose, and style in electoral tweets

Saif M. Mohammad;Xiaodan Zhu;Svetlana Kiritchenko;Joel Martin

297
Citations
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

Berry de Bruijn;Colin Cherry;Svetlana Kiritchenko;Joel D. Martin

281
Citations
How translation alters sentiment

Saif M. Mohammad;Mohammad Salameh;Svetlana Kiritchenko

214
Citations
ExaCT: automatic extraction of clinical trial characteristics from journal publications

Svetlana Kiritchenko;Berry de Bruijn;Simona Carini;Joel D. Martin

197
Citations
Sentiment after Translation: A Case-Study on Arabic Social Media Posts

Mohammad Salameh;Saif M. Mohammad;Svetlana Kiritchenko

177
Citations
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation

Svetlana Kiritchenko;Saif M. Mohammad

169
Citations
Functional Annotation of Genes Using Hierarchical Text Categorization

Svetlana Kiritchenko;Stan Matwin;Fazel Famili

167
Citations
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets

Xiaodan Zhu;Svetlana Kiritchenko;Saif Mohammad

164
Citations
Learning and evaluation in the presence of class hierarchies: application to text categorization

Svetlana Kiritchenko;Stan Matwin;Richard Nock;A. Fazel Famili

133
Citations
Detecting Stance in Tweets And Analyzing its Interaction with Sentiment

Parinaz Sobhani;Saif M. Mohammad;Svetlana Kiritchenko

124
Citations
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling

Svetlana Kiritchenko;Saif M. Mohammad

120
Citations
SemEval-2015 Task 10: Sentiment Analysis in Twitter

Sara Rosenthal;Saif M Mohammad;Preslav Nakov;Alan Ritter

5
Citations

Frequent Co-Authors

Saif M. Mohammad National Research Council Canada

Xiaodan Zhu Queen's University

Stan Matwin Dalhousie University

Colin Cherry Google (Canada)

Robert J. Coplan Carleton University

Veselin Stoyanov Facebook (United States)

Alan Ritter Georgia Institute of Technology

Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence

Filip Ginter University of Turku

Richard Nock Australian National University

External Links

Personal website of Svetlana Kiritchenko Google Scholar page

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