Index
Jingrong Tong
(The University of Sheffield, UK)
Landong Zuo
(Independent Researcher, UK)
The Brexit Referendum on Twitter
ISBN: 978-1-80043-295-6, eISBN: 978-1-80043-294-9
Publication date: 15 February 2021
This content is currently only available as a PDF
Citation
Tong, J. and Zuo, L. (2021), "Index", The Brexit Referendum on Twitter, Emerald Publishing Limited, Leeds, pp. 91-93. https://doi.org/10.1108/978-1-80043-294-920211002
Publisher
:Emerald Publishing Limited
Copyright © 2021 Jingrong Tong and Landong Zuo. Published under exclusive licence by Emerald Publishing Limited
INDEX
Anchoring
, 12, 21
emotional
, 12
European Union (EU) membership
, 25–27, 29
thematic
, 12
Application Programming Interface (API)
, 7
Artificial Intelligence (AI)
, 71–72
Black Lives Matter protests
, 70–71
Blogs
, 66
@BorisJohnson
, 36–39
#BrexitBusTour
, 38
Brexit referendum
, 2–6, 47
dual role and political discourse
, 64
Twitter
, 34
British news media
, 14, 65–66
British politicians
, 13–14, 34, 40
Chi-squared test
, 9–11
Collective cognition
, 23, 31
Computational thematic analysis
, 7
Conservative Party
, 3–4, 37
COVID-19
, 70–71
@Daily_Express
, 42
@DailyMailUK
, 42
@David_Cameron
, 36–37, 48, 51–54, 56–57
Democracy
, 18–19, 25–26, 69
Dictatorship
, 12, 25–26
Dodgy govt
, 58
Echo chamber effects
, 48–49, 60, 68–69
Elasticsearch
, 16
European Communities (EC)
, 4
European media
, 35
European Union (EU)
, 1
NaziOrigin
, 25–26
Naziroots
, 25–26
Project Hope
, 28
European Union (EU) membership
, 21
anchoring
, 25–27
objectification
, 27–28
Euro-scepticism
, 2–5, 44–45
Facebook
, 49, 69
Gephi
, 16
Global financial crisis
, 2–3, 35
Globalisation
, 33, 67–68
British New Labour governments
, 33
populism
, 4
Twitter
, 44–45
Hashtags
, 7, 9–10, 24–25
Illegal immigration
, 42–43
Immigration
, 3, 27–28, 42
free movement
, 38
illegal immigrants
, 38
issues
, 27–28
media tweets
, 42
#IndependenceDay
, 26–27
Instagram
, 69
#Ivotedleave
, 58
Kibana
, 16
Labour Party
, 3–4
Latent Dirichlet allocation (LDA)
, 16, 56–57, 59
Leave and Remain
, 25–30, 36, 61, 63–64
Legitimising racism
, 58
Liberal Democrat echo chamber
, 49
Media
, 35–36
Media tweets
, 40–41
economy
, 42
immigration
, 42
Migrant crisis
, 42
National Health Service (NHS)
, 2–3, 21, 39
objectification
, 28
Nationalist populism
, 67–68
NaziOrigin
, 25–26
Naziroots
, 25–26
Neoliberalism
, 4–5
News media
, 13–14, 34, 65–66
supply and demand relationship
, 35
tweeting practices
, 40–43
@Nigel_Farage
, 36–38, 48, 51–53, 55, 59
Objectification
, 12, 21
European Union (EU) membership
, 27–30
National Health Service (NHS)
, 28
Ontologisation
, 12
#Pencilgate
, 58
Personification
, 12
Political communication
, 65–66, 69–72
Political disagreement
, 50
Political discourse
, 63–64
Political homophily
, 47–51
Populism
, 2–5, 33, 64, 68
legitimising and mainstreaming
, 68–69
marginal political ideology
, 34
news media
, 34
Twitter
, 34
Populist politicians
, 35–36, 64
Populist referendum
, 60–61
Pre-referendum tweets
, 9–10
Pro-Brexit tweets
, 51
#ProjectFear
, 26–27
#ProjectHope
, 26–27
Public fear
, 42
Qualitative thematic analysis
, 51–53
Racism
, 58
Referendum
, 28, 40
Brexit
, 2–5
British news media
, 13–14
British politicians
, 13
political discourse
, 63
politician spoken news sources
, 41
social representations
, 9–12
Twitter
, 1–2
Retweeting
, 15, 51–53
@SkyNews
, 43
Social media
, 1, 5–6, 48–51, 65
everyday practice
, 22
political communication
, 69–72
popularity
, 66
populism
, 34–35
populist politicians
, 35–36
promises and problems
, 67–69
social representations
, 23–24
Social network analysis
, 7, 51–53
Social representations theory
, 17–19, 21
anchoring
, 23
objectification
, 23
political object
, 24
political values
, 24
Social thinking
, 23, 31
Term frequency and inverse document frequency (TF-IDF)
, 11–12
@TheSun
, 42
Topic modelling
, 7, 53–60
Traditional content analysis
, 7
Tweeting practices
, 30
British politicians
, 1, 13–14
news media
, 1, 13–14, 40–43
politicians
, 37–40
Twitter
, 1, 11, 37
Application Programming Interface (API)
, 7
British politicians
, 13–14, 34
data collection
, 8
democratic potential
, 65–69
dual role
, 64
European Union (EU) membership
, 25–30
hashtags
, 7
news media
, 13–14
political discourse
, 64
populism
, 6, 34
referendum
, 1–2, 6
social representations theory
, 17–19
trend over time
, 7–8
users’ responses to politicians
, 14–16
word limit
, 35–36
UK Independence Party (UKIP)
, 1, 4–5, 35
United Kingdom (UK)
, 1, 21–22
globalisation
, 33
populism
, 34
#Voteleave
, 24–25, 28
YouTube
, 66
- Prelims
- 1 Introduction
- 2 Social Representations of the EU Referendum on Twitter
- 3 Legitimising Political Controversy and Populism
- 4 The Construction of ‘Hero’ versus ‘Villain’ in Twitter Users' Responses to @David_Cameron and @Nigel_Farage
- 5 Shaping Political Discourse: Is Twitter Good for Democracy?
- References
- Index