Hi all,
A reminder about this arvo’s Friday seminar by Alison Moore and Aurélie Mallet
– face to face!
See you all there,
Yaegan
From: Yaegan Doran <Yaegan.Doran@xxxxxxxxxx>
Date: Monday, 2 May 2022 at 12:20 pm
To: "asflanet@xxxxxxxxxxxxx" <asflanet@xxxxxxxxxxxxx>, sys-func
<sys-func@xxxxxxxxxxxxx>
Subject: Friday Seminar
Hello all!
This week’s Sydney SFL Friday seminar is from Alison Moore and Aurélie Mallet –
abstract below.
We are to face at Sydney Uni, from 4-5:30pm Fridays in the Oriental Room of the
Quad at Sydney Uni, followed by our regular catch up at the pub.
We will also be livestreaming the seminar at:
https://uni-sydney.zoom.us/j/84002530042
(If you cannot make face to face or the live stream and you wish to see the
talk, please contact the speaker who will have access to a recording).
Below is the abstract for this week’s talk, and the schedule for the semester.
If you can, it’d be wonderful to see you all in person!
Yaegan
Koalas, firemen, and dangerous things: how tweets invoke emotion
Alison Rotha Moore & Aurélie Mallet, University of Wollongong
This paper reports on a current collaborative project examining the role of
social media in the context of bushfire recovery on the NSW South Coast in
relation to 1) rebuilding and financial support for bushfire-affected
communities and 2) solidarity, community connectedness, and emotional wellbeing
of bushfire survivors, drawing on a corpus of 12,230 tweets. The paper will
briefly situate the project within research on social media and disaster
recovery (Ogie, James, Moore et al 2022), then focus on the linguistic
component, which aims to identify how the tweets convey emotion, attitude and
relational involvement, and weave together with other tweets and responses to
perform ‘ambient affiliation’ (Zappavigna 2011). The characterisation of tweets
given by the linguistic analysis will be compared with automated analysis of
sentiment and emotion given by products such as Vader Sentiment, and used to
help explain why some tweets achieve high levels of engagement and others do
not. It will be argued that the (manual) linguistic analysis “finds” important
interpersonal (and other) meanings that go under the radar of the automated
analysis.
Ogie, R., James, S., Moore, A., Dilworth, T., Amirghasemi, M., Whittaker, J.
(2022). Social media use in disaster recovery: A systematic literature review.
International Journal of Disaster Risk Reduction 70: Article 102783.
https://doi.org/10.1016/j.ijdrr.2022.102783
Zappavigna, M. (2011). Ambient Affiliation: A Linguistic Perspective on
Twitter. New Media & Society,13(5), 788–806.
https://doi.org/10.1177/1461444810385097
Date
Presenter
Topic
11th March
Yaegan Doran
Sundanese nominal groups: Text and textual meaning
18th March
Annabelle Lukin
Masculine power in international war law: a (preliminary) linguistic inquiry
25th March
Joshua Han
Examining social media 'content creation' from a social semiotic perspective
through a multimodal rhythmic analysis of a TikTok video
1st April
Mary Macken-Horarik
Building a knowledge structure in school English: Troubles and (potential)
triumphs
8th April
Rosemary Huisman
Temporal meanings and SFL worlds of experience
Usyd Mid-semester break
29th April
David Rose
Four ways to tell a story
6th May
Alison Moore & Aurélie Mallet
#RecoverSouthCoast: how can SFL/SFS inform the study of social media use for
rebuilding community after bushfire and other disasters
13th May
Dragana Stosic &
Sally Humphrey
Negotiating the validity of health information on social media
20th May
Georgia Carr
Doing the heavy lifting: Technicalising and iconising attitude in sex education
27th May
Len Unsworth
Analysing Affiliation in Infographics for High School Science
