WASSA Workshop @ ACL 24
ACL 24, Bangkok
We are orgnizing the 14th edition of the WASSA workshop this year at ACL24!
Our keynote speaker will be Debora Nozza
Abstract
The proliferation of hate speech on social media platforms has been rising, with (pseudo-)anonymity allowing individuals to target others without being recognized or easily traced. While this societal issue has garnered significant attention in the NLP community, it presents three major challenges. Hate speech detection models need to be fair, work across all languages, and incorporate personalization while balancing privacy concerns. Addressing these challenges will revolutionize the field of hate speech detection and contribute to the development of a “universal” model that can adapt to individual user perspectives. In this talk, I will present my contributions in this area along with my perspectives on future directions.
Bio
Debora Nozza is an Assistant Professor in Computing Sciences at Bocconi University. Her research interests mainly focus on Natural Language Processing, specifically on the detection and counter-acting of hate speech and algorithmic bias on Social Media data in multilingual context
About WASSA
The aim of WASSA 2024 is to bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis, social media mining, computational literary studies) and researchers working on interdisciplinary aspects of affect computation from text. For this edition, we encourage the submission of long and short research and demo papers including, but not restricted to the following topics:
- Resources for subjectivity, sentiment, emotion and social media analysis
- Opinion retrieval, extraction, categorization, aggregation and summarization
- Humor, Irony and Sarcasm detection
- Mis- and disinformation analysis and the role of affective attributes
- Aspect and topic-based sentiment and emotion analysis
- Analysis of stable traits of social media users, incl. personality analysis and profiling
- Transfer learning for domain, language and genre portability of sentiment analysis
- Modelling commonsense knowledge for subjectivity, sentiment or emotion analysis
- Improvement of NLP tasks using subjectivity and/or sentiment analysis
- Intrinsic and extrinsic evaluation of subjectivity and/or sentiment analysis
- The role of emotions in argument mining
- Application of theories from related fields to subjectivity and sentiment analysis
- Multimodal emotion detection and classification
- Applications of sentiment and emotion mining
- Public sentiments and communication patterns of public health emergencies.
In the past years we have noticed that WASSA offers a platform to researchers investigating sentiment and emotion in lesser-resourced languages. The 2023 edition featured work on no less than 23 different languages and two papers specifically targeted multilingual emotion detection. We wish to continue these efforts as we find it important to consider and publish advances in any language as this helps to underline the wealth of our research community and to diminish the dominance of English-language research. To this purpose we propose a Special track on multilinguality and social bridge between high- and lesser-resourced languages/communities.
