This book constitutes the refereed proceedings of the Third Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.

This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.

Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models”, “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” and “Students Assessing Digital News and Misinformation” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022. The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.

This book constitutes the refereed proceedings of the First Multidisciplinary International Symposium, MISDOOM 2019, held in Hamburg, Germany, in February/March 2019. The 14 revised full papers were carefully reviewed and selected from 21 submissions. The papers are organized in topical sections named: human computer interaction and disinformation, automation and disinformation, media and disinformation.

Digitisation, AI and Algorithms in African Journalism and Media Contexts moves the focus from the West, addressing the significant knowledge gaps relating to the current state of AI, algorithms and data-driven journalism, as well as the implications for political, social, cultural, markets, media viability and journalism education.

This handbook offers a comprehensive overview of research into discourses of disinformation, misinformation, post-truth, alternative facts, hate speech, conspiracy theories, and "fake news". Divided into two sections, it provides a detailed look at the methodological challenges and approaches for studying disinformation, along with a wide range of case studies covering everything from climate change denial to COVID-19 conspiracies. The studies address how discourses of disinformation are constructed and developed, what rhetorical and persuasive strategies they employ, how disinformation can be discerned from real news, and what steps we might take in order to create a more trustworthy news environment. Authored by leading experts from around the world, and showcasing the most up-to-date methodological approaches to the topic, the volume makes a significant contribution to current linguistic research on politics, and is an essential guide to the discourses of disinformation for advanced students and researchers of English language studies, linguistics, and media and communication studies.

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2021. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.

This edited book offers insight into the linguistic construction of prejudice and discrimination in social media. Drawing on the outputs of a three-year research project, NETLANG, involving scholars from five European countries (Portugal, Czech Republic, Estonia, Finland and Poland), as well as on external contributions from participants in the project’s final conference, the collection brings together a variety of linguistic approaches to the study of online hate speech, ranging from Pragmatics to Syntax, Lexis, Stylistics, Natural Language Processing (NLP) and Corpus Linguistics. Data from English, Portuguese, Danish, Lithuanian, Persian, Polish, and Slovenian are examined, along with various geopolitical contexts for hate speech, especially anti-refugee and anti-immigrant discourse. The authors explore a continuum of overt to covert textual data, namely: (i) structural elements, such as syntactic and morphological patterns found to recur throughout the texts; (ii) lexical and stylistic elements, revealing the often implicit ways vocabulary choices and rhetorical devices signal the expression of hate; and (iii) interactional elements, concerning the pragmatic relationships established in online communicative exchanges. The chapters cover numerous types of prejudice, such as sexism, nationalism, racism, antisemitism, religious intolerance, ageism, and homo/transphobia. The book will be of interest to an academic readership in Linguistics, Media Studies, Communication Studies, and Social Sciences.