Tackling Sexist Hate Speech: Cross-Lingual Detection and Multilingual Insights from Social Media

With the widespread use of social media, the proliferation of online communication presents both opportunities and challenges for fostering a respectful and inclusive digital environment. Due to the anonymity and weak regulations of social media platforms, the rise of hate speech has become a significant concern, particularly against specific individuals or groups based on race, religion, ethnicity, or gender, posing a severe threat to human rights. Sexist hate speech is a prevalent form of online hate that often manifests itself through gender-based violence and discrimination, challenging societal norms and legal systems. Despite the advances in natural language processing techniques for detecting offensive and sexist content, most research still focuses on monolingual (primarily English) contexts, neglecting the multilingual nature of online platforms. This gap highlights the need for effective and scalable strategies to address the linguistic diversity and cultural variations in hate speech. Cross-language transfer learning and state-of-the-art multilingual pre-trained language models provide potential solutions to improve the detection efficiency of low-resource languages by leveraging data from high-resource languages. Additional knowledge is crucial to facilitate the models’ performance in detecting culturally varying expressions of sexist hate speech in different languages. In this thesis, we delve into the complex area of identifying sexist hate speech in social media across diverse languages pertaining to different language families, with a focus on sexism and a broad exploration of datasets, methodologies, and barriers inherent in mitigating online hate speech in cross-lingual and multilingual scenarios. We primarily apply cross-lingual transfer learning techniques to detect sexist hate speech, aiming to leverage knowledge acquired from related linguistic data in order to improve performance in a target language. We also investigate the integration of external knowledge to deepen the understanding of sexism in multilingual social media contexts, addressing both the challenges of linguistic diversity and the need for comprehensive, culturally sensitive hate speech detection models. Specifically, it embarks on a comprehensive survey of tackling cross-lingual hate speech online, summarising existing datasets and cross-lingual approaches, as well as highlighting challenges and frontiers in this field. It then presents a first contribution to the field, the creation of the Sina Weibo Sexism Review (Swsr) dataset in Chinese —a pioneering resource that not only fills a crucial gap in limited resources but also lays the foundation for relevant cross-lingual investigations. Additionally, it examines how cross-lingual techniques can be utilised to generate domain-aware word embeddings, and explores the application of these embeddings in a cross-lingual hate speech framework, thereby enhancing the capacity to capture the subtleties of sexist hate speech across diverse languages. Recognising the significance of linguistic nuances in multilingual and cross-lingual settings, another innovation consists in proposing and evaluating a series of multilingual and cross-lingual models tailored for detecting sexist hate speech. By leveraging the capacity of shared knowledge and features across languages, these models significantly advance the state-of-the-art in identifying online sexist hate speech. As societies continue to deal with the complexities of social media, the findings and methodologies presented in this thesis could effectively help foster more inclusive and respectful online content across languages

Mapping (Dis-)Information Flow about the MH17 Plane Crash

Digital media enables not only fast sharing of information, but also disinformation. One prominent case of an event leading to circulation of disinformation on social media is the MH17 plane crash. Studies analysing the spread of information about this event on Twitter have focused on small, manually annotated datasets, or used proxys for data annotation. In this work, we examine to what extent text classifiers can be used to label data for subsequent content analysis, in particular we focus on predicting pro-Russian and pro-Ukrainian Twitter content related to the MH17 plane crash. Even though we find that a neural classifier improves over a hashtag based baseline, labeling pro-Russian and pro-Ukrainian content with high precision remains a challenging problem. We provide an error analysis underlining the difficulty of the task and identify factors that might help improve classification in future work. Finally, we show how the classifier can facilitate the annotation task for human annotators

Cultural China 2020

Cultural China is a unique annual publication for up-to-date, informed, and accessible commentary about Chinese and Sinophone languages, cultural practices, politics and production, and their critical analysis. It builds on the University of Westminster’s Contemporary China Centre Blog, providing additional reflective introductory pieces to contextualise each of the eight chapters. The articles in this Review speak to the turbulent year that was 2020 as it unfolded across cultural China. Thematically, they range from celebrity culture, fashion and beauty, to religion and spirituality, via language politics, heritage, and music. Pieces on representations of China in Britain and the Westminster Chinese Visual Arts Project reflect our particular location and home. Many of the articles in this book focus on the People’s Republic of China, but they also draw attention to the multiple Chinese and Sinophone cultural practices that exist within, across, and beyond national borders. The Review is distinctive in its cultural studies-based approach and contributes a much-needed critical perspective from the Humanities to the study of cultural China. It aims to promote interdisciplinary dialogue and debate about the social, cultural, political, and historical dynamics that inform life in cultural China today, offering academics, activists, practitioners, and politicians a key reference with which to situate current events in and relating to cultural China in a wider context

Cultural China 2020: The Contemporary China Centre Review

Cultural China is a unique annual publication for up-to-date, informed, and accessible commentary about Chinese and Sinophone languages, cultural practices, politics and production, and their critical analysis. It builds on the University of Westminster’s Contemporary China Centre Blog, providing additional reflective introductory pieces to contextualise each of the eight chapters. The articles in this Review speak to the turbulent year that was 2020 as it unfolded across cultural China. Thematically, they range from celebrity culture, fashion and beauty, to religion and spirituality, via language politics, heritage, and music. Pieces on representations of China in Britain and the Westminster Chinese Visual Arts Project reflect our particular location and home. Many of the articles in this book focus on the People’s Republic of China, but they also draw attention to the multiple Chinese and Sinophone cultural practices that exist within, across, and beyond national borders. The Review is distinctive in its cultural studies-based approach and contributes a much-needed critical perspective from the Humanities to the study of cultural China. It aims to promote interdisciplinary dialogue and debate about the social, cultural, political, and historical dynamics that inform life in cultural China today, offering academics, activists, practitioners, and politicians a key reference with which to situate current events in and relating to cultural China in a wider context

Cultural China 2020

Cultural China is a unique annual publication for up-to-date, informed, and accessible commentary about Chinese and Sinophone languages, cultural practices, politics and production, and their critical analysis. It builds on the University of Westminster’s Contemporary China Centre Blog, providing additional reflective introductory pieces to contextualise each of the eight chapters. The articles in this Review speak to the turbulent year that was 2020 as it unfolded across cultural China. Thematically, they range from celebrity culture, fashion and beauty, to religion and spirituality, via language politics, heritage, and music. Pieces on representations of China in Britain and the Westminster Chinese Visual Arts Project reflect our particular location and home. Many of the articles in this book focus on the People’s Republic of China, but they also draw attention to the multiple Chinese and Sinophone cultural practices that exist within, across, and beyond national borders. The Review is distinctive in its cultural studies-based approach and contributes a much-needed critical perspective from the Humanities to the study of cultural China. It aims to promote interdisciplinary dialogue and debate about the social, cultural, political, and historical dynamics that inform life in cultural China today, offering academics, activists, practitioners, and politicians a key reference with which to situate current events in and relating to cultural China in a wider context

Philanthropy in China

Philanthropy in China is fast growing. A new important charity law of China came into effect in 2016. This book is a comprehensive report about these developments: Philanthropy is considered the third form of wealth distribution (private means to public ends and communities) after market competition and taxation scheme. In individualistic and market-oriented societies, philanthropy is more established and relevant than in societies, where the state controls distribution. This book compares Chinese and Western concepts of philanthropy and analyzes the history, drivers, institutional environment, latest legal frame, donation patterns, the role of civil society, corporate giving and the media in Chinese philanthropy. The report serves as comprehensive overview for all actors in society in China and internationally who are dealing with philanthropy in China. (Globethics.net Publications