1st Edition

Appraisal, Sentiment and Emotion Analysis in Political Discourse A Multimodal, Multi-method Approach

    180 Pages 18 B/W Illustrations
    by Routledge

    This book adopts a multi-method multimodal approach to the study of online political communication, applying it to case studies from the United Kingdom, France, and Italy towards offering a portrait of the rapid ideological shifts in contemporary Western democracies.

    The volume introduces an integrated framework combining Sentiment and Emotion Analysis, rooted in lexical semantics, and the qualitative dimensions of Appraisal Theory, applying it to large corpora of online political communication from the United Kingdom, France, and Italy. Combei and Reggi highlight their combined potential in analysing the multimodal resources in such discourses and in turn revealing fresh insights into layers of subtext and the ways in which parties and movements frame their political programmes and values. The authors also take into account culture- and language-specific variables across the three countries in shaping such discourses. The volume makes the case for an integrated methodological framework that can be uniquely applied to better understand the multimodal communicative landscape of divisiveness in today’s rapidly shifting political climate and other forms of online communication more broadly.

    This book will be of interest to students and scholars in digital communication, political communication, multimodality, and qualitative and quantitative discourse analysis, especially those interested in corpus-assisted approaches.

    Table of Contents, Authorship Note, References, 1.       Introduction, 2.       Language and Politics, 2.1 Populism and polarization in the 21st century, 2.2 Politics and discourse: two sides of the same coin, 2.3 What can linguistics tell us about political discourse?, 2.4 Talking politics online, 3.       A Multi-method Approach for the Analysis of Political Discourse , 3.1 Online political discourse: a multimodal challenge, 3.2 From messages to data, 3.3 Automated corpus analyses, 3.4 Appraisal analysis of polarized communication, 4.       Right-wing Parties: Then and Now, 4.1 League, an Italian Story, 4.2 United Kingdom: from the Brexit Party to Reform UK, 4.3 Brothers of Italy, a cumbersome past, 4.4 France: from the National Rally to the National Front , 4.5 Concluding remarks, 5.       Engaging with the Audience, 5.1 From followers to voters, 5.2 Fear, anger, trust , 5.3 Similarities and differences across media, 5.4 Concluding remarks, 6.       Defining Identity, 6.1 Tweeting from right to right , 6.2 The website as a receptacle of programmes and values, 6.3 Concluding remarks, 7.       Us Against Them: a multimodal perspective , 7.1 Visual campaigns, 7.2. Them, an overview, 7.3. Us against them, 7.4 Concluding remarks , 8.       Online Communication and Societal Cha(lle)nges


    Claudia Roberta Combei is a Researcher (RTD-a) in Linguistics and Head of the Experimental Phonetics Laboratory at the University of Pavia. She earned her PhD from the University of Pisa, specialising in phonetics and corpus linguistics. Her research employs a mixed-method approach, exploring topics such as political and social media discourse, non-native speech, and sociophonetics. She has co-coordinated the RadioCast-it speech corpus and serves as a member of the editorial board of Bibliography of Metaphor and Metonymy – MetBib. She has reviewed for national and international scientific conferences and journals.

    Valeria Reggi is a discourse analyst and certified English-Italian translator. She is currently an Adjunct Professor and Tutor at the University of Bologna and the University of Brescia, and she collaborates with University College London. Valeria Reggi is also a member of the Editorial Board of the Media Ecology journal New Explorations: Studies in Culture and Communication. Her research interests include Multimodal Critical Discourse Analysis, political discourse, disinformation, stereotyping, nationalism, and critical thinking.