Suicide and self-harm in Britain: researching risk and resilience using UK surveys

Aim The main aim of this study was to raise awareness of surveys that could be used to inform self-harm and suicide prevention work. We asked: What UK survey datasets are available for research? What aspects of people’s lives are associated with self-harm and attempted suicide? How do statistical findings resonate with people’s lived experience? What implications do they see? Findings Survey analyses revealed that risk factors for self-harm are wide ranging and include: Mental health Physical health and health behaviours Social relationships Stressful events Employment and financial circumstances Identity and demographics Many different factors are independently associated with self-harm. There is a dose relationship, with more exposure to a factor linked with increased risk. Risks are cumulative that is, exposure to multiple factors is associated with greater risk. Through facilitated consultation, men with lived experience, bereaved family members, and practitioners identified recommendations for responding to suicidal distress in men. These related to the following three main areas: 1. Recognising need: who is ‘ill enough’? Permission - men said that they often did not know they were entitled to help Ask - people who outwardly appear to be functioning may not be Persistence - ask and offer help more than once. 2. Facilitating access: right words, time and place What is available - support is needed with ongoing stress as well as for crises Find the words - men wanted examples of how to ask for help Allow time - employers expect recovery to be swift, some men felt rushed to come off medications or were discharged from services they still needed. 3. Adjusting delivery: equal engagement Power - some were uncomfortable with service dynamics, preferring peer support Every service contact counts - negative contacts had particular impact Safe spaces - may be different for men and women. Methods There were three strands of work: Secondary analysis of nine survey series, spanning more than twenty years Linkage of 144,000 survey participants to information on whether they were alive in 2013 and whether they had taken their own life Facilitated consultation, through depth interviews with people with lived experience

Coping with low data availability for social media crisis message categorisation

During crisis situations, social media allows people to quickly share information, including messages requesting help. This can be valuable to emergency responders, who need to categorise and prioritise these messages based on the type of assistance being requested. However, the high volume of messages makes it difficult to filter and prioritise them without the use of computational techniques. Fully supervised filtering techniques for crisis message categorisation typically require a large amount of annotated training data, but this can be difficult to obtain during an ongoing crisis and is expensive in terms of time and labour to create. This thesis focuses on addressing the challenge of low data availability when categorising crisis messages for emergency response. It first presents domain adaptation as a solution for this problem, which involves learning a categorisation model from annotated data from past crisis events (source domain) and adapting it to categorise messages from an ongoing crisis event (target domain). In many-to-many adaptation, where the model is trained on multiple past events and adapted to multiple ongoing events, a multi-task learning approach is proposed using pre-trained language models. This approach outperforms baselines and an ensemble approach further improves performance..

Exploring Sentiment Analysis on Twitter: Investigating Public Opinion on Migration in Brazil from 2015 to 2020

openTechnology has reshaped societal interaction and the expression of opinions. Migration is a prominent trend, and analysing social media discussions provides insights into societal perspectives. This thesis explores how events between 2015 and 2020 impacted Brazilian sentiment on Twitter about migrants and refugees. Its aim was to uncover the influence of key sociopolitical events on public sentiment, clarifying how these echoed in the digital realm. Four key objectives guided this research: (a) understanding public opinions on migrants and refugees, (b) investigating how events influenced Twitter sentiment, (c) identifying terms used in migration-related tweets, and (d) tracking sentiment shifts, especially concerning changes in government. Sentiment analysis using VADER (Valence Aware Dictionary and sEntiment Reasoner) was employed to analyse tweet data. The use of computational methods in social sciences is gaining traction, yet no analysis has been conducted before to understand the sentiments of the Brazilian population regarding migration. The analysis underscored Twitter's role in reflecting and shaping public discourse, offering insights into how major events influenced discussions on migration. In conclusion, this study illuminated the landscape of Brazilian sentiment on migration, emphasizing the significance of innovative social media analysis methodologies for policymaking and societal inclusivity in the digital age

Power and Politics in the Media: The Year in C-SPAN Archives Research, Volume 9

Power and Politics in the Media: The Year in C-SPAN Archives Research, Volume 9 features articles from multiple disciplines that use the C-SPAN Video Library to explore recent controversies in American politics. Topics covered include Supreme Court nominations, Supreme Court oral arguments, rhetoric on disasters and COVID-19, and the effect of clothing on the approval of women in power. What unites these topics is the unique use of the video record of C-SPAN to explore the intersections of politics, power, rhetoric, and the media in the contemporary United States. Written in accessible prose, this volume showcases some of the most pressing issues today in a variety of political and communication issues while demonstrating video research methodologies

Defining discovery:is Google Scholar a discovery platform? An essay on the need for a new approach to scholarly discovery

This essay discusses the concept of discovery, intended as content discovery, and defines it in the new context of Open Science, with a focus on Social Sciences and Humanities (SSH). Starting from the example of Google Scholar, the authors show that this well established service does not address the current needs, practices, and variety of discovery. Alternatives in terms of technical choices, features, and governance, do however exist, offering richer and more open discovery. The paper presents in particular the implementations and research work of the H2020 project TRIPLE (Transforming Research through Innovative Practices for Linked Interdisciplinary Exploration). Dedicated to the building of a discovery platform for the SSH, the project is meant to address the specificities and evolution of discovery in this field. Prevailing scholarly resource platforms like Google Scholar limit discovery by focussing only on publications, and favouring through their algorithm well-cited papers, English content, and discipline-specific resources. A limitation in the context of cross-disciplinary and collaborative Open Science, such a service more specifically hinders discovery in the SSH. Characterized by a fragmented landscape, a variety of languages, data types, and outputs, research in the SSH requires services that fully exploit discovery potentialities. Moreover, a survey conducted within the TRIPLE project showed that most SSH researchers use Google Scholar as their starting point, and that they recognise the lack of control they have with this system. Beyond the extension of features and content, transparency is the other important criterion for the building of an Open Infrastructure actually serving the research community. In light of this, we present in some detail the GoTriple platform, which exploits today's technological potential and incorporates the best known functionalities in order to unveil more and innovative scholarly outputs and lead to international and interdisciplinary research project collaborations

Data-Driven Innovation in the Creative Industries

The creative industries – the place where art, business, and technology meet in economic activity – have been hugely affected by the relatively recent digitalisation (and often monetisation) of work, home, relationships, and leisure. Such trends were accelerated by the global COVID-19 pandemic. This edited collection examines how the creative industries can be supported to make best use of opportunities in digital technology and data-driven innovation.Since digital markets and platforms are now essential for revenue generation and audience engagement, there is a vital need for improved data and digital skills in the creative and cultural sectors. Taking a necessarily global perspective, this book explores the challenges and opportunities of data-driven approaches to creativity in different contexts across the arts, cultural, and heritage sectors. Chapters reach beyond the platforms and approaches provided by the technology sector to delve into the collaborative work that supports innovation around the interdisciplinary and cross-sectoral issues that emerge where data infrastructures and approaches meet creativity.A novel intervention that uniquely centres the role of data in the theory and practice of creative industries’ innovation, this book is valuable reading for those researching and studying the creative economy as well for those who drive investment for the creative industries in a digitalised society

You are the controller: the ubiquitous interface and interactive digital media art installations

This is the Proceedings Book of the 2nd Interface Politics International Conference (After Post-Truth) organised at BAU College of Design in Barcelona which includes most of papers and keynotes held during the conference that took place in BAU, HANGAR and MACBA on 29, 29 and 30 of November 2018. The conference was organized by GREDITS (Research Group in Design and Social Transformation) with the contribution of HANGAR, MACBA and Artnodes Journal which published a special issue on the Conference. // Interface Politics is an International Conference originally created by GREDITS / BAU in 2016 with the aim of analyzing and discussing the role of interfaces as a communicational and linguistic mechanism, and as a device with political, commercial and labor agency. An interface can be defined as a communication system that serves to translate physical realities into technical languages and viceversa, or to make compatible different technical languages. // The second Conference was devoted to explore the relationships between interfaces and the Post-Truth regime

Information and Communication Technologies in Tourism 2022

This open access book presents the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 29th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2022 conference, which will be held on January 11–14, 2022. The book provides an extensive overview of how information and communication technologies can be used to develop tourism and hospitality. It covers the latest research on various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics, and recommendation systems. The readers will gain insights and ideas on how information and communication technologies can be used in tourism and hospitality. Academics working in the eTourism field, as well as students and practitioners, will find up-to-date information on the status of research