29.1769, Calls: Comp Ling, Semantics, Socioling, Text/Corpus Ling/Belgium

[The LINGUIST List]

LINGUIST List: Vol-29-1769. Tue Apr 24 2018. ISSN: 1069 - 4875.

Subject: 29.1769, Calls: Comp Ling, Semantics, Socioling, Text/Corpus Ling/Belgium

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Date: Tue, 24 Apr 2018 17:01:23
From: Rob Voigt [robvoigt at stanford.edu]
Subject: 2nd Workshop on Abusive Language Online

 
Full Title: 2nd Workshop on Abusive Language Online 
Short Title: ALW2 

Date: 31-Oct-2018 - 01-Nov-2018
Location: Brussels, Belgium 
Contact Person: Zeerak Waseem
Meeting Email: z.w.butt at sheffield.ac.uk
Web Site: https://sites.google.com/view/alw2018 

Linguistic Field(s): Computational Linguistics; Semantics; Sociolinguistics; Text/Corpus Linguistics 

Call Deadline: 20-Jul-2018 

Meeting Description:

2nd Workshop on Abusive Language Online at EMNLP 2018 (Brussels, Belgium),
October 31 or November 1, 2018

Interaction amongst users on social networking platforms can enable
constructive and insightful conversations and civic participation; however, on
many sites that encourage user interaction, verbal abuse has become
commonplace, leading to negative outcomes such as cyberbullying, hate speech,
and scapegoating. In online contexts, aggressive behavior may be more frequent
than in face-to-face interaction, which can poison the social climates within
online communities. The last few years have seen a surge in such abusive
online behavior, leaving governments, social media platforms, and individuals
struggling to deal with the consequences. 

For instance, in 2015, Twitter’s CEO publicly admitted that online abuse on
their platform was resulting in users leaving the platform, and in some cases
even having to leave their homes. More recently, Facebook, Twitter, YouTube
and Microsoft pledged to remove hate speech from their platforms within 24
hours in accordance with the EU commission code of conduct and face fines of
up to €50M in Germany if they systematically fail to remove abusive content
within 24 hours. While governance demands the ability to respond quickly and
at scale, we do not yet have effective human or technical processes that can
address this need. Abusive language can often be extremely subtle and highly
context dependent. Thus we are challenged to develop scalable computational
methods that can reliably and efficiently detect and mitigate the use of
abusive language online within variable and evolving contexts.

As a field that works directly with computational analysis of language, NLP
(Natural Language Processing) is in a unique position to address this problem.
Recently there have been a greater number of papers dealing with abusive
language in the computational linguistics community. Abusive language is not a
stable or simple target: misclassification of regular conversation as abusive
can severely impact users’ freedom of expression and reputation, while
misclassification of abusive conversations as unproblematic on the other hand
maintains the status quo of online communities as unsafe environments.
Clearly, there is still a great deal of work to be done in this area. More
practically, as research into detecting abusive language is still in its
infancy, the research community has yet to agree upon a suitable typology of
abusive content as well as upon standards and metrics for proper evaluation,
where research in media studies, rhetorical analysis, and cultural analysis
can offer many insights.

In this second edition of this workshop, we continue to emphasize the
computational detection of abusive language as informed by interdisciplinary
scholarship and community experience. We invite paper submissions describing
unpublished work from relevant fields including, but not limited to: natural
language processing, law, psychology, network analysis, gender and women’s
studies, and critical race theory.


Call for Papers:

We invite long and short papers on any of the following general topics:
related to developing computational models and systems:

- NLP models and methods for detecting abusive language online, including, but
not limited to hate speech, cyberbullying etc.
- Application of NLP tools to analyze social media content and other large
data sets
- NLP models for cross-lingual abusive language detection
- Computational models for multi-modal abuse detection
- Development of corpora and annotation guidelines
- Critical algorithm studies with a focus on abusive language moderation
technology
- Human-Computer Interaction for abusive language detection systems 
- Best practices for using NLP techniques in watchdog settings

or related to legal, social, and policy considerations of abusive language
online:

- The social and personal consequences of being the target of abusive language
and targeting others with abusive language
- Assessment of current non-NLP methods of addressing abusive language
- Legal ramifications of measures taken against abusive language use
- Social implications of monitoring and moderating unacceptable content
- Considerations of implemented and proposed policies for dealing with abusive
language online and the technological means of dealing with it.

In addition, in this one-day workshop, we will have a multidisciplinary panel
discussion and a forum for plenary discussion on the issues that researchers
and practitioners face in efforts to work with abusive language detection we
are also looking into the possibility of publishing a special issue journal to
this iteration of the workshop. We seek to have a greater focus on policy
aspects of online abuse through invited speakers and panels. 

Important Dates:

Submission due: July 20, 2018
Author Notification: August 18, 2018
Camera Ready: August 31, 2018
Workshop Date: Oct 31st or Nov 1st, 2018
Submission link: https://www.softconf.com/emnlp2018/ALW2/




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