Background and Scope
---------------------
While interest in automatic approaches to Counterspeech generation has been 
steadily growing, including studies on data curation (Chung et al., 2019a; 
Fanton et al., 2021), detection (Chung et al., 2021a; Mathew et al., 2018), and 
generation (Tekiroglu et al., 2020; Chung et al., 2021b; Zhu and Bhat, 2021; 
Tekiroglu et al., 2022), the large majority of the published experimental work 
on automatic Counterspeech generation has been carried out for English. This is 
due to the scarcity of both non-English manually curated training data and to 
the crushing predominance of English in the generative Large Language Models 
(LLMs) ecosystem. A workshop on exploring Multilingual Counterspeech Generation 
is proposed to promote and encourage research on multilingual approaches for 
this challenging topic.

Thus, this workshop aims to test monolingual and multilingual LLMs in 
particular and Language Technology in general to automatically generate 
counterspeech not only in English but also in languages with fewer resources. 
In this sense, an important goal of the workshop will be to understand the 
impact of using LLMs, considering for example how to deal with pressing issues 
such as biases, hallucinated content, data scarcity or data contamination.

We seek to maximize the scientific and social impact of this workshop by 
promoting the creation of a community of researchers from diverse fields, such 
as computer and social sciences, as well as policy makers and other 
stakeholders interested in automatic counterspeech generation. By doing so we 
aim to gain a deeper understanding of how counterspeech is currently used to 
tackle abuse by individuals, activists, and organizations and how Natural 
Language Processing (NLP) and Generation (NLG) may be best applied to 
counteract it.

Call for Papers
---------------------
We welcome submissions on the following topics (but not limited to):
 - Models and methods for generating counterspeech in different languages.
 - Automatic Counterspeech generation for low resource languages with scarce 
training data.
 - Dialogue agents that use counterspeech to combat offensive messages that are 
directed to individuals or groups, targeted based on various aspects such as 
ideology, gender, sexual orientation and religion.
 - Methods for human and automatic evaluation of counterspeech. 
 - Multidisciplinary studies providing different perspectives on the topic such 
as computer science, social science, psychology, etc.
 - Development of taxonomies and quality datasets for counterspeech in multiple 
languages.
 - Potentials and limitations (e.g., fairness, biases, hallucinated content) of 
applying different NLP methods, such as LLMs, to generate counterspeech.
 - Social impact and empirical studies of counterspeech in social networks, 
including research on the effectiveness and consequences for users of using 
counterspeech to combat hate online.

Submission
---------------------
We welcome two types of papers: regular workshop papers and non-archival 
submissions. Regular workshop papers will be included in the workshop 
proceedings. All submissions must be in PDF format and made through START  
[https://softconf.com/coling2025/MCG25/]
 - Regular workshop papers: Authors can submit papers up to 8 pages, with 
unlimited pages for references. Authors may submit up to 100 MB of 
supplementary materials separately and their code for reproducibility. All 
submissions undergo an double-blind single-track review. Accepted papers will 
be presented as posters with the possibility of oral presentations.
 - Non-archival submissions: Cross-submissions are welcome. Accepted papers 
will be presented at the workshop, but will not be included in the workshop 
proceedings. Papers must be in PDF format and will be reviewed in a 
double-blind fashion by workshop reviewers. We also welcome extended abstracts 
(up to 2 pages) of papers that are work in progress, under review or to be 
submitted to other venues. Papers in this category need to follow the COLING 
format.

Important Dates
---------------------
 - Submission: November 25th, 2024
 - Notification of Acceptance: December 8th, 2024
 - Camera-Ready Papers Due: December 13th, 2024
_______________________________________________
Corpora mailing list -- [email protected]
https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/
To unsubscribe send an email to [email protected]

Reply via email to