Svetlana Kiritchenko
35 papers · 2011–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (14) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🐝
Cross-Pollinator
(12)
🌈
Renaissance Researcher
(6)
🗺️
Taxonomy Completionist
(34)
🔬
Deep Specialist
(11)
🤝
Dynamic Duo
(16)
🧬
Topic Evolution
⚡
Prolific Year
(5)
💎
Century Club
(35)
📈
Trend Setter
🗃️
Keyword Collector
(92)
🔥
Unstoppable
(13)
❓
The Questioner
(3)
Conferences
NAACL (11)
ACL (10)
SEMEVAL (8)
EMNLP (3)
COLING (1)
EACL (1)
IJCNLP (1)
Top co-authors
Keywords
sentiment analysis
(7)
text classification
(6)
bias detection
(5)
large language model
(4)
hate speech detection
(3)
social media analysis
(3)
bias mitigation
(3)
social media
(3)
abusive language detection
(3)
stereotype detection
(3)
domain generalization
(3)
bias evaluation
(2)
toxic language detection
(2)
natural language processing
(2)
concept-based explanation
(2)
semantic embedding
(2)
unsupervised learning
(2)
model interpretability
(2)
social bia
(2)
topic modeling
(1)
Papers
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
ACL 2025
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
NAACL 2025
Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia
NAACL 2025
Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
ACL 2025
How Does Stereotype Content Differ across Data Sources?
NAACL 2024
Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes
COLING 2024
Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images
EACL 2024
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse
EMNLP 2024
The Crime of Being Poor: Associations between Crime and Poverty on Social Media in Eight Countries
NAACL 2024
Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor
ACL 2023
What Makes a Good Counter-Stereotype? Evaluating Strategies for Automated Responses to Stereotypical Text
ACL 2023
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
ACL 2023
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors
ACL 2022
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information
EMNLP 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models
NAACL 2022
Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection
NAACL 2022
Does Moral Code have a Moral Code? Probing Delphi’s Moral Philosophy
NAACL 2022
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
ACL 2021
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model
IJCNLP 2021
On Cross-Dataset Generalization in Automatic Detection of Online Abuse
EMNLP 2020
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
NAACL 2019
DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning
SEMEVAL 2018
SemEval-2018 Task 1: Affect in Tweets
SEMEVAL 2018
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
ACL 2017
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
NAACL 2016
Sentiment Composition of Words with Opposing Polarities
NAACL 2016
SemEval-2016 Task 6: Detecting Stance in Tweets
SEMEVAL 2016
SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases
SEMEVAL 2016
Sentiment after Translation: A Case-Study on Arabic Social Media Posts
NAACL 2015
SemEval-2015 Task 10: Sentiment Analysis in Twitter
SEMEVAL 2015
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
SEMEVAL 2014
An Empirical Study on the Effect of Negation Words on Sentiment
ACL 2014
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets
SEMEVAL 2014
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
SEMEVAL 2013
Lexically-Triggered Hidden Markov Models for Clinical Document Coding
ACL 2011