35.1493, Books: Authorship Analysis in Chinese Social Media Texts: Zhang (2024)
The LINGUIST List
linguist at listserv.linguistlist.org
Tue May 14 02:05:02 UTC 2024
LINGUIST List: Vol-35-1493. Tue May 14 2024. ISSN: 1069 - 4875.
Subject: 35.1493, Books: Authorship Analysis in Chinese Social Media Texts: Zhang (2024)
Moderators: Malgorzata E. Cavar, Francis Tyers (linguist at linguistlist.org)
Managing Editor: Justin Fuller
Team: Helen Aristar-Dry, Steven Franks, Everett Green, Daniel Swanson, Maria Lucero Guillen Puon, Zackary Leech, Lynzie Coburn, Natasha Singh, Erin Steitz
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: Justin Fuller <justin at linguistlist.org>
LINGUIST List is hosted by Indiana University College of Arts and Sciences.
================================================================
Date: 14-May-2024
From: Ellena Moriarty [ellena.moriarty at cambridge.org]
Subject: Authorship Analysis in Chinese Social Media Texts: Zhang (2024)
Title: Authorship Analysis in Chinese Social Media Texts
Series Title: Elements in Forensic Linguistics
Publication Year: 2024
Publisher: Cambridge University Press
http://www.cambridge.org/linguistics
Book URL: https://doi.org/10.1017/9781009324298
Author: Shaomin Zhang
Paperback: ISBN: 9781009324250 Pages: 114 Price: U.S. $ 22.00
Paperback: ISBN: 9781009324250 Pages: 114 Price: U.K. £ 17.00
Paperback: ISBN: 9781009324250 Pages: 114 Price: Europe EURO 19.84
Abstract:
This Element explores the sentiment and keyword features in both
authorship profiling and authorship attribution in social media texts
in the Chinese cultural context. The key findings can be summarised as
follows: firstly, sentiment scores and keyword features are
distinctive in delineating authors' gender and age. Specifically,
female and younger authors tend to be less optimistic and use more
personal pronouns and graduations than male and older authors,
respectively. Secondly, these distinctive profiling features are also
distinctive and significant in authorship attribution. Thirdly, our
mindset, shaped by our inherent hormonal influences and external
social experiences, plays a critical role in authorship.
Theoretically, the findings expand authorship features into
underexplored domains and substantiate the theory of mindset.
Practically, the findings offer some broad quantitative benchmarks for
authorship profiling cases in the Chinese cultural context, and
perhaps other contexts where authorship profiling analyses have been
used. This title is also available as Open Access on Cambridge Core.
Written In: English (eng)
------------------------------------------------------------------------------
Please consider donating to the Linguist List https://give.myiu.org/iu-bloomington/I320011968.html
LINGUIST List is supported by the following publishers:
Cambridge University Press http://www.cambridge.org/linguistics
De Gruyter Mouton https://cloud.newsletter.degruyter.com/mouton
Equinox Publishing Ltd http://www.equinoxpub.com/
John Benjamins http://www.benjamins.com/
Lincom GmbH https://lincom-shop.eu/
Multilingual Matters http://www.multilingual-matters.com/
Narr Francke Attempto Verlag GmbH + Co. KG http://www.narr.de/
Wiley http://www.wiley.com
----------------------------------------------------------
LINGUIST List: Vol-35-1493
----------------------------------------------------------
More information about the LINGUIST
mailing list