Media Discourse & Stance

Find further details of each talk in the Book of Abstracts here.

Those marked with are eligible for nomination to a student researcher award. Find the full list of awards here.

You are welcome to use the comment function at the bottom of the page to comment on papers you have seen and/or submit questions that you would like to see raised in the discussion panel. If replying to an individual paper, please specify who you are talking to.

Panel chaired by Anna Islentyeva.

A bilingual corpus-assisted discourse study: Framing the outcomes of the Egyptian revolution ★

Safa AttiaUniversidad Autonoma de Madrid

safattia01@gmail.com
@safattia

[long paper]

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An ecological, cross-linguistic study of the 2030 Agenda for Sustainable Development ★

Elena Valvason – University of Pavia / University of Bergamo

[long paper]

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Using topic modelling and collocation analysis for studying political and economical aspects of Croatian and Serbian media representations of Europe after 2007 ★

Piotr MirochaJagiellonian University, Cracow

[short paper]

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Linguistic othering of Arabs and Muslims through adjectival modifiers in the press ★

Irene Elmerot Stockholm University

irene.elmerot@slav.su.se
https://www.su.se/english/profiles/irel5167-1.364672

[long paper]

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News Translation and Power Negotiation: Corpus-assisted CDA Investigation of Saudi Arabia’s Representations in the BBC’s Coverage, 2013-2015

Asma AlqunayirQassim University, Saudi Arabia

Asma_A_Q@Hotmail.com
@Asma_Alqunayir

[long paper]

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Representation of China’s Reform in English News Media of China and the West: A Corpus-assisted Discourse Studies

Longxing Li & Vincent X. Wang University of Macau

[long paper]

[withdrawn]

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Firing Away: Risk Communication and Climate Change in Australian Media Discourse

Katherine Russo Università degli Studi di Napoli “L’Orientale”

[long paper]

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Testing Agentless Passives’ Ability to ‘Mystify’ Social Actors in the Minds of Readers

Will Lingle University of Aizu, Japan

[long paper]

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The Discourse of Human Rights in China’s News Media ★

Zihuan Zhong Queen Mary University of London

z.zhong@qmul.ac.uk
@ZhongZihuan

[short paper]

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Time and place in news discourse: a linguistic approach

Azad Mammadov Azerbaijan University of Languages

azad19622003@yahoo.com

[long paper]

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Voices in Cross-lingual Global News: Same logos, but variable viewpoints ★

Banan Assiri Cardiff University

AssiriBA@cardiff.ac.uk
@bananassiri

[long paper]

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Yellow or Blue? Ideological divergence on Anti-extradition Bill Protest in Hong Kong English News Media

Zeping Michelle HuangHong Kong Baptist University

huangzeping@hkbu.edu.hk
@DoraZeping
http://www.coms.hkbu.edu.hk/faculty-staff/faculty/huangzeping/

[short paper]

[withdrawn]

5 thoughts on “Media Discourse & Stance

  1. Anna Islentyeva June 18, 2020 — 2:40 pm

    Dear speakers, I have enjoyed your presentations very much and I look forward to chairing this panel tomorrow.
    Dear attendees, feel free to post your questions here.

    See you all tomorrow in the afternoon 😉

    Like

    1. Thank you Anna, see you tomorrow 🙂

      Like

    2. Elena Valvason June 19, 2020 — 7:39 am

      Thank you so much, Anna. See you later 🙂

      Like

  2. Will, a very useful study, thank you! In the results I missed seeing any correlation between your predicted instances of mystification and the actual instances of mystification in the reader response. Was this available from your method? Sorry if my brain failed to take it in, I’m at that slightly frazzled stage of the conference now!

    Like

    1. Thanks for the question, Kate. I think you heard my answer in the panel, but in case anyone else wondered why I didn’t simply test my predictions on actual reader-generated inferences, the reason was that I aimed to not just measure whether readers inferred absent agents, but inferred the correct agents. Since the original texts contained agentless passives, there was no way for me to objectively judge reader agency inferences as ‘correct’ or not–I would just be comparing their inferences to mine. The solution I chose was to replace active clauses with stated agents in the originals with agentless passive versions and give the modified texts to readers. That way I could check readers’ inferences against the agents I’d deleted from the originals. I allowed for some flexibility, judging ‘the Greek government’ or ‘EU leaders’ as correct without insisting that readers specifically identify ‘Prime Minister Tsipras’ or ‘Chancellor Merkel’, etc.

      There are lots of ways I’d like to expand on this research, so thanks to Kate and everyone who showed interest! I haven’t presented any work since 2012 since much of my Ph.D. was focused on theoretical issues, so now that I finally have some empirical results I feel greatly encouraged to keep going! Thanks so much to everyone for making CADS2020 a great experience.

      Like

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