33.1756, Calls: Cog Sci, Comp Ling, Disc Analysis, Socioling, Text/Corpus Ling/Korea, South

[The LINGUIST List]

LINGUIST List: Vol-33-1756. Tue May 17 2022. ISSN: 1069 - 4875.

Subject: 33.1756, Calls: Cog Sci, Comp Ling, Disc Analysis, Socioling, Text/Corpus Ling/Korea, South

Moderator: Malgorzata E. Cavar (linguist at linguistlist.org)
Student Moderator: Billy Dickson
Managing Editor: Lauren Perkins
Team: Helen Aristar-Dry, Everett Green, Sarah Goldfinch, Nils Hjortnaes,
      Joshua Sims, Billy Dickson, Amalia Robinson, Matthew Fort
Jobs: jobs at linguistlist.org | Conferences: callconf at linguistlist.org | Pubs: pubs at linguistlist.org

Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           https://funddrive.linguistlist.org/donate/

Editor for this issue: Everett Green <everett at linguistlist.org>
================================================================


Date: Tue, 17 May 2022 15:08:43
From: Ritesh Kumar [ritesh.lists at gmail.com]
Subject: 3rd Workshop on Threat, Aggression and Cyberbullying & Shared Tasks on Bias, Threat and Aggression Identification in Context

 
Full Title: 3rd Workshop on Threat, Aggression and Cyberbullying & Shared Tasks on Bias, Threat and Aggression Identification in Context 
Short Title: TRAC - 2022 

Date: 12-Oct-2022 - 17-Oct-2022
Location: Gyeongju, Korea, South 
Contact Person: Ritesh Kumar
Meeting Email: coling.aggression at gmail.com
Web Site: https://sites.google.com/view/trac2022/home 

Linguistic Field(s): Cognitive Science; Computational Linguistics; Discourse Analysis; Sociolinguistics; Text/Corpus Linguistics 

Call Deadline: 11-Jul-2022 

Meeting Description:

As the number of users and their web-based interaction has increased,
incidents of verbal threat, aggression and related behavior like trolling,
cyberbullying, and hate speech have also increased manifold globally. The
reach and extent of Internet has given such incidents unprecedented power and
influence to affect the lives of billions of people. Such incidents of online
abuse have not only resulted in mental health and psychological issues for
users, but they have manifested in other ways, spanning from deactivating
social media accounts to instances of self-harm and suicide.

To mitigate these issues, researchers have begun to explore the use of
computational methods for identifying such toxic interactions online. In
particular, Natural Language Processing (NLP) and ML-based methods have shown
great promise in dealing with such abusive behavior through early detection of
inflammatory content.
In fact, we have observed an explosion of NLP-based research on offensive
content in the last few years.  This growth has been accompanied by the
creation of new venues such as the WOAH and the TRAC workshop series.
Community-based competitions, like tasks 5/6 at SemEval-2019, task 12 at
SemEval-2020, task 5/7 at SemEval-2021 have also proven to be extremely
popular. In fact,  because of the huge community interest, multiple workshops
being held on the topic in a single year. For example, in 2018 ACL hosted both
the Abusive Language Online workshop (EMNLP) as well as TRAC-1 (COLING). Both
venues achieved healthy participation with 21 and 24 papers, respectively.
Interest in the topic has continued to grow since then and given its immense
popularity, we are proposing a new edition of the workshop to support the
community and further research in this area.

As in the earlier editions, TRAC will focus on the applications of NLP, ML and
pragmatic studies on aggression and impoliteness to tackle these issues.


Call for Papers:

We invite long (8 pages) and short papers (4 pages) as well as position papers
and opinion pieces (5 - 20 pages), demo proposals and non-archival extended
abstracts (2 pages) based on, but not limited to, any of the following themes
from academic researchers, industry and any other group / team working in the
area.

- Theories and models of aggression and conflict in language.
- Cyberbullying, threatening, hateful, aggressive and abusive language on the
web.
- Multilingualism and aggression.
- Resource Development - Corpora, Annotation Guidelines and Best Practices for
threat and aggression detection.
- Computational Models and Methods for aggression, hate speech and offensive
language detection in text and speech.
- Detection of threats and bullying on the web.
- Automatic censorship and moderation: ethical, legal and technological issues
and challenges.




------------------------------------------------------------------------------

***************************    LINGUIST List Support    ***************************
 The 2020 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
  to find out how to donate and check how your university, country or discipline
     ranks in the fund drive challenges. Or go directly to the donation site:
                   https://crowdfunding.iu.edu/the-linguist-list

                        Let's make this a short fund drive!
                Please feel free to share the link to our campaign:
                    https://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-33-1756	
----------------------------------------------------------