31.93, FYI: ''Grammar of Hate'' Edited Collection

Wed Jan 8 03:02:57 UTC 2020

LINGUIST List: Vol-31-93. Tue Jan 07 2020. ISSN: 1069 - 4875.

Subject: 31.93, FYI: ''Grammar of Hate'' Edited Collection

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Date: Tue, 07 Jan 2020 22:02:27
From: Natalia Knoblock [nlknoblo at svsu.edu]
Subject: ''Grammar of Hate'' Edited Collection

Researchers of verbal aggression, “othering”, dehumanization, hate speech, and
similar topics are invited to submit proposals for an edited volume on
morphosyntactic features of antagonistic discourse.  

The issue of hostile communication continues to receive significant scholarly
attention since hate speech has been reported to be on the rise (Lazaridis et
al., 2016), and a majority of social media users have encountered it at least
once (Oksanen et al., 2014). While multiple studies have addressed
antagonistic communication (e.g., Erjavec & Kovačič, 2012; Knoblock, 2017;
Leets & Giles, 1997; Lillian, 2007; Musolff, 2015), most of existing research
has concentrated on its lexical and discursive aspects, and morphosyntactic
characteristics of offensive, aggressive, and dehumanizing discourse remain
largely unexplored. This publication will begin filling the gap by
concentrating on the grammatical features of hate communication utilized to
denigrate, dehumanize, and marginalize groups or individuals. Such scholarship
might aid in the attempts that are being made at automatic recognition of hate
speech (e.g., Miró-Llinares et al., 2018; Schmidt & Wiegand, 2017; Zhang et
al., 2018) and discouraging verbal aggression.

Offering a new outlook on a well-studied topic and expanding the scope of hate
speech research, the collection will explore the links between hateful
intentions of the speakers/writers, their lexical choices, and the
morphological and syntactic characteristics of their hurtful and offensive
discourse. A variety of research approaches and methodologies as well as
various sources of study material including computer-mediated communication
are welcome.

Some (but not limited to) of the possible topics to investigate could include:

- manipulation of personal pronouns
- usage of inanimate morphology where animate is expected 
- non-traditional usage of mass/countable nouns if used with nefarious intent 
- usage of diminutive/augmentative morphology with nefarious intent
- syntactic patterns characteristic of hate speech and “othering”, mood,
aspect, or voice trends, clause length, etc.

This list is not exhaustive, and other topics not itemized here are welcome as
long as they involve manipulation of syntactic or morphological aspects with
an intent to denigrate, insult, and dehumanize the referent.  

Please send your abstract of approximately 350 words (excluding references) to
cadaadpanel at gmail.com or nlknoblo at svsu.edu by February 20, 2020. In your
abstract, clearly state the aims and research questions of your paper, its
theoretical foundations, the data and methods used to analyse it, as well as
some of the findings. The preliminary timetable is: abstract submission
February 20, full paper submission by June 30, peer review and revision by
November 30, 2020. The collection is edited by Natalia Knoblock (Saginaw
Valley State University) and will be submitted to a large university press or
an international-scope journal as a special issue. 

References:

Erjavec, K., & Kovačič, M. P. (2012). “You don't understand, this is a new
war!” Analysis of hate speech in news web sites' comments. Mass Communication
and Society, 15(6), 899-920.
Knoblock, N. (2017). Xenophobic Trumpeters: A corpus-assisted discourse study
of Donald Trump's Facebook conversations. Journal of Language Aggression and
Conflict, 5(2), 295-322.
Lazaridis, G., Campani, G., & Benveniste, A. (2016). The Rise of the Far Right
in Europe. Palgrave Macmillan Limited.
Leets, L., & Giles, H. (1997). Words as weapons—when do they wound?
Investigations of harmful speech. Human Communication Research, 24(2),
260-301.
Lillian, D. L. (2007). A thorn by any other name: sexist discourse as hate
speech. Discourse & Society, 18(6), 719-740.
Miró-Llinares, F., Moneva, A., & Esteve, M. (2018). Hate is in the air! But
where? Introducing an algorithm to detect hate speech in digital
microenvironments. Crime Science, 7(1), 15.
Musolff, A. (2015). Dehumanizing metaphors in UK immigrant debates in press
and online media. Journal of Language Aggression and Conflict, 3(1), 41-56.
Oksanen, A., Hawdon, J., Holkeri, E., Näsi, M., & Räsänen, P. (2014). Exposure
to online hate among young social media users. In M.N. Warehime (Ed.) Soul of
Society: A Focus on the Lives of Children & Youth, 253-273.
Schmidt, A., & Wiegand, M. (2017). A survey on hate speech detection using
natural language processing. In Proceedings of the Fifth International
Workshop on Natural Language Processing for Social Media (pp. 1-10).
Zhang, Z., Robinson, D., & Tepper, J. (2018). Detecting hate speech on twitter
using a convolution-LSTM based deep neural network. In European Semantic Web
Conference (pp. 745-760).

Linguistic Field(s): Discourse Analysis
                     Morphology
                     Pragmatics
                     Syntax
                     Text/Corpus Linguistics

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