Managing 'threats': uses of social media for policing domestic extremism and disorder in the UK

This project examines the uses of social media for policing domestic extremism and disorder in the UK. The collection and analysis of social media data for the purposes of policing forms part of a broader shift from ‘reactive’ to ‘proactive’ forms of governance in which state bodies engage in big data analysis to predict, preempt and respond in real time to a range of social problems. However, there is a lack of research that accounts for the ways in which different state bodies are making use of big data, and how big data is changing the way states research, prioritize and act in relation to social and political issues. Although big data promises for more efficient, rational and objective decision-making, an important emerging body of work highlight that uses of big data for governance may also contribute to forms of suppression, inequality, and discrimination. What is more, whilst the collection of data may provide opportunities to identify problems and potential ‘threats’, the challenges of oversight, accountability and transparency involved in the collection and use of people’s information have been identified as key concerns. This project engages with these debates by looking specifically at how social media data informs decision-making with regards to the policing of domestic extremism and disorder in the context of the United Kingdom

Managing 'threats': uses of social media for policing domestic extremism and disorder in the UK

The research examines two key areas of social media practices for policing: 1) the ways in which social media communication and data becomes identified as potential domestic ‘threats’ and 2) the ways in which the police engages with social media to manage and minimize those ‘threats’

Men, Women, Microblogging: Where Do We Stand?

With millions of users worldwide, microblogging has developed into a powerful tool for interaction and information dissemination. While both men and women readily use this technology, there are significant differences in how they embrace it. Understanding these differences is important to ensure gender parity, provide advertisers with actionable insights on the marketing potential of both groups, and to inform current theories on how microblogging affordances shape gender roles. So far, existing research has not provided a unified framework for such analysis, with gender insights scattered across multiple studies. To fill this gap, our study conducts a comprehensive meta-review of existing research. We find that current discourse offers a solid body of knowledge on gender differences in adoption, shared content, stylistic presentation, and a rather convoluted picture of female and male interaction. Together, our structured findings offer a deeper insight into the underlying dynamics of gender differences in microblogging

Researching with Twitter timeline data: A demonstration via “everyday” socio-political talk around welfare provision

Increasingly, social media platforms are understood by researchers to be valuable sites of politically-relevant discussions. However, analyses of social media data are typically undertaken by focusing on ‘snapshots’ of issues using query-keyword search strategies. This paper develops an alternative, less issue-based, mode of analysing Twitter data. It provides a framework for working qualitatively with longitudinally-oriented Twitter data (user-timelines), and uses an empirical case to consider the value and the challenges of doing so. Exploring how Twitter users place “everyday” talk around the socio-political issue of UK welfare provision, we draw on digital ethnography and narrative analysis techniques to analyse 25 user-timelines and identify three distinctions in users’ practices: users’ engagements with welfare as TV entertainment or as a socio-political concern; the degree of sustained engagement with said issues, and; the degree to which users’ tweeting practices around welfare were congruent with or in contrast to their other tweets. With this analytic orientation, we demonstrate how a longitudinal analysis of user-timelines provides rich resources that facilitate a more nuanced understanding of user engagement in everyday socio-political discussions online

'We should be united': deploying verbatim methods in poetry to (re)present expressions of identity and ideas of imagined community in the 2011 Birmingham riots

Despite the upsurge in fact-based and verbatim theatre in recent years (Fogarth and Megson 2009: 1), engagement with the form as a technique equally suitable for poetry has been especially limited. This thesis examines the deployment of verbatim methods in a series of poems which constitute the creative element, written in order to (re)present expressions of identity and ideas of imagined community during the 2011 riots in Birmingham. Located in the context of this particular disorder, United We Stand explores both individual and group experiences of the events that took place in Birmingham. The series of verbatim poems draws on data extracted from 25 semi-structured, life-story interviews with participants who lived or worked in the city during these incidents. In doing so, both the thesis and the creative practice that informs it critique Benedict Anderson s earlier model of the nation as an imagined community (1983; 1991; 2006). While quantitative network analysis is deployed to establish the ties between media channels and ordinary citizens that were maintained online through social networking, creative and reported responses published by these same media sources are analysed in relation to national narrative conventions (Billig 2001; Mihelj 2011). This demonstrates that new and popular media played a significant role in (re)presenting imagined communities in this setting. By providing evidence for the existence of these shifting imagined communities across various geographical, social and cultural scales, the thesis suggests that Anderson s decision to focus on the nation is problematic. It argues that his framework is partial and that a new definition of imagined community as both fluid and emergent is necessary. Literary context for the thesis is found in the origins and developments of verbatim; exploring early documentary theatre practice and contemporary verbatim productions by Richard Norton-Taylor, Alecky Blythe, and Gillian Slovo. Through an analysis of Bhanu Kapil Rider s The Vertical Interrogation of Strangers (2001), the thesis illustrates how existing poets have organised comparable methods in their own work. This culminates in a demonstration of practice as research by producing a ground-breaking body of work: United We Stand is a series of poems crafted through the deployment of verbatim methods. The thesis demonstrates that deploying verbatim methods in poetry is suitable for (re)presenting expressions of identity and ideas of imagined community in this context. By transforming the voices of ordinary people of Birmingham, United We Stand reflects the media narratives that precede it: the poems are a direct engagement with the same fluid and emergent imagined communities that they argue existed. More importantly, though, this thesis goes beyond contemporary techniques of verbatim and establishes the evolutionary nature of it as a poetic practice. The combination of verbatim methods and visual-digital tools that I deploy throughout United We Stand results in a new creative process which I have termed Digital Poetic Mimesis

Reactions to Brexit in images : a multimodal content analysis of shared visual content on Flickr

In this article, the authors analyze citizens’ reactions to Brexit on social media after the referendum results by performing a content analysis of 5877 posts collected from the social media platform Flickr, written in English, German, French, Spanish or Italian. Their research aims to answer the three following questions: What multimodal practices are adopted by citizens when they react to societal events like Brexit? To what extent do these practices illustrate types of citizenship that are specific to social networks? Can we observe different reactions to Brexit according to the languages used by the citizens? The authors focus on the types of visual content the citizens used to react to Brexit, as well as on what types of social relations this content can particularly create between their authors and the other members of the Flick community. Their article also highlights to what extent these posts shared on Flickr show content that is in favour of, or against, Brexit

Event Detection and Modelling for Security Application

PhD thesisThis thesis focuses on the design and implementation of a novel security domain surveillance system framework that incorporates multimodal information sources to assist the task of event detection from video and social media sources. The comprehensive framework consists of four modules including Data Source, Content Extraction, Parsing and Semantic Knowledge. The security domain ontology conceptual model is proposed for event representation and tailored in conformity with elementary aspects of event description. The adaptation of DOLCE foundational ontology promotes flexibility for heterogeneous ontologies to interoperate. The proposed mapping method using eXtensible Stylesheet Language Transformation (XSLT) stylesheet approach is presented to allow ontology enrichment and instance population to be executed efficiently. The dataset for visual semantic analysis utilizes video footage of 2011 London Riots obtained from Scotland Yard. The concepts person, face, police, car, fire, running, kicking and throwing are chosen to be analysed. The visual semantic analysis results demonstrate successful persons, actions and events detection in the video footage of riot events. For social semantic analysis, a collection of tweets from twitter channels that was actively reporting during the 2011 London Riots was compiled to create a Twitter corpus. The annotated data are mapped in the ontology based on six concepts: token, location, organization, sentence, verb, and noun. Several keywords related to the event that has been presented in the visual and social media sources are chosen to examine the correlation between both sources and to draw supplementary information regarding the event. The chosen keywords describe actions running, throwing, and kicking; activity attack, smash and loot; event fire; and location Hackney and Croydon. An experiment in respect to concept-noun relations are also been executed. The ontology-based visual and social media analysis yields a promising result in analysing long content surveillance videos and lengthy text corpus of social media user-generated content. Adopting ontology-based approach, the proposed novel security domain surveillance system framework enables a large amount of visual and social media data to be analysed systematically and automatically, and promotes a better method for event detection and understanding