Encountering #Feminism on Twitter
Reflections on a Research Collaboration between Social Scientists and Computer Scientists
Datos Bibliográficos
| ID | 2391975 |
|---|---|
| Autores | Steve Kirkwood (0000-0003-1508-0835, University of Edinburgh, autor de correspondencia), Viviene Cree (University of Edinburgh), Viviene E Cree (0000-0002-9995-1820, University of Edinburgh), Daniel Winterstein (0000-0002-4992-6811, SoDash, UK), Alex Nuttgens (SoDash, UK), Jenni Sneddon (SoDash, UK) |
| Año | 2018 |
| Volumen | 23 |
| Número | 4 |
| Páginas | 763-779 |
| Fecha de publicación | 2018-12-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Research Online (JOURNAL) |
| Identificadores de la revista | ISSN: 1360-7804 • E-ISSN: 1360-7804 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1360780418781615 |
| OpenAlex | W2807740102 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 24 |
The growth of social media presents an unparalleled opportunity for the study of social change. However, the speed and scale of this growth presents challenges for social scientists, particularly those whose methodologies tend to rely on the qualitative analysis of data that are gathered firsthand. Alongside the growth of social media, companies have emerged which have developed tools for interrogating 'big data', although often unconnected from social scientists. It is self-evident that collaboration between social scientists and social media analysis companies offers the potential for developing methods for analysing social change on large scales, bringing together their respective expertise in technological innovations and knowledge of social science. What is less well known is how such a partnership might work in practice. This article presents an example of such a collaboration, highlighting the opportunities and challenges that arose in the context of an exploration of feminism on Twitter. As will be shown, machine-learning technologies allow the analysis of data on a scale that would be impossible for human analysts, yet such approaches also heighten challenges regarding the study of social change and communication
Big data · Biology · Engineering ethics · Feminism · General partnership · Political science · Public relations · Social change · Social media · Social science · Sociology · World Wide Web · Computer Science · Engineering · Gender Studies · Gender, Feminism, and Media · Hate Speech and Cyberbullying Detection · Social Media and Politics
Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data
Ethics of Social Media Research
Cyber Hate Speech on Twitter
Tweeting From Left to Right
A Movement Moves . . . Is There a Women's Movement in England Today
A scholarly divide
Qualitative interviews in psychology
Working across difference in the digital era
Reading the riots on Twitter
Digital social research, social media and the sociological imagination
Between whisper and voice
Logics of interdisciplinarity
Sociology Beyond Societies
Contemporary British Feminism
Drawing Inferences and Testing Theories with Big Data
Feminism
Social media and the social sciences
Knowing the Tweeters
Big Data
Towards a Sociological Understanding of Social Media
The discursive construction and performance of gendered identity on social media
| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 1,5 |
| Intervalo de citas | 2022 - 2025 (4) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |