Australia’s anti-Islam right in their own words. Text as data analysis of social media content
Datos Bibliográficos
| ID | 6234849 |
|---|---|
| Autores | Charles Miller (0000-0001-6484-8906, School of Politics and International Relations, Australian National University, ACT, Canberra, Australia, autor de correspondencia) |
| Año | 2017 |
| Volumen | 52 |
| Número | 3 |
| Páginas | 383-401 |
| Fecha de publicación | 2017-07-03 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Australian Journal of Political Science (JOURNAL) |
| Identificadores de la revista | ISSN: 1036-1146 • E-ISSN: 1363-030X |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10361146.2017.1324561 |
| OpenAlex | W2619052869 |
| Idioma | EN |
| Citas recibidas | 17 |
| Referencias citadas | 25 |
In recent years, far-right organisations have formed in response to what they believe to be the threat from the rise of Islam in Australia. Parallel movements have spawned an extensive literature internationally. In this study I investigate this movement in Australia using automated text analysis of all public posts from two of the most popular Australian anti-Islam groups on social media. This approach complements traditional polling methods by offering access to large samples of the spontaneously generated opinions, allowing subjects to speak in their own words. My analysis finds evidence that concerns about terrorism and the perceived political threat from Islam are paramount in these groups’ discussion of Muslims. I conclude by discussing the implications for counter-messaging strategies
Content analysis · Islam · Media studies · Political science · Politics · Polling · Public relations · Social media · Social science · Sociology · Terrorism · Computer Science · Hate Speech and Cyberbullying Detection · History · Law · Social Media and Politics · Terrorism, Counterterrorism, and Political Violence
Islamophobia
Multiculturalism
Covering Muslims
Incel Beliefs and Support for Political Violence Among U.S. Males
Social networks and digital organisation
Exposure to Extremist Online Content Could Lead to Violent Radicalization
Telegramming Hate
Muslim typologies in Australia
Fear of terrorism and support for non-democratic rule in democracies
Anti‐Muslim hate speech and displacement narratives
Reading between the lines with topic models and machine learning
How is Australianness represented by prime ministers
Views on political Islam among Australian converts to Islam
Faith-Inspired Muslim Parents' School Choices and Attitudes in the Cultural West and Australia
Hashtagged Trolling and Emojified Hate against Muslims on Social Media
Exploring the Influence of News Consumption on Non-Muslim Australians' Attitudes towards Muslims
Characterising Australians who have high levels of anger towards Islam and Muslims
Why Muslim Integration Fails in Christian-Heritage Societies
Topicmodels
Does Ethnic Discrimination Vary Across Minority Groups? Evidence from a Field Experiment
Religious Persecution and Political Order in the United States
Use of force and civil–military relations in Russia
From Ethnocentrism to Collective Protest
Terrified
Seeing is believing
From Pork to Policy
Economic Losers, Protestors, Islamophobes or Xenophobes? Predicting Public Support for a Counter-Jihad Movement
Text as Data
Birds of the Same Feather Tweet Together
How to Avoid Pitfalls in Statistical Analysis of Political Texts
Threat, Anxiety, and Support of Antiterrorism Policies
Tracing the Flow of Policy Ideas in Legislatures
Imagining stereotypes away
Contemporary racism and Islamaphobia in Australia
What Is Islamophobia and How Much Is There? Theorizing and Measuring an Emerging Comparative Concept
Mass Public Decisions on Go to War
Extracting Policy Positions from Political Texts Using Words as Data
Beyond and Below Racial Homophily
The development of ethnic prejudice
| Obras citantes distintas | 17 |
|---|---|
| Citas por año | 2,13 |
| Intervalo de citas | 2018 - 2025 (8) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 17 |