Haiyan Wang Knihy

Investigative journalism in China plays a pivotal role in challenging state power and advocating for democratic reform. The book explores the rise of activist journalists who leverage new media technologies, transforming their roles from mere observers to active participants in social movements. Through this lens, it highlights the dynamic interplay between journalism and activism in shaping public discourse and fostering societal change in a restrictive political environment.

Focusing on the impact of digital technologies, particularly smartphones, this book explores how they have transformed the Chinese print media landscape. It delves into the challenges and changes faced by traditional journalism in China, highlighting the tensions between innovation and established practices. Through detailed analysis, it offers a comprehensive understanding of the evolving media environment and the implications for journalists and consumers alike.

Focusing on the intersection of mathematics and social media, this book introduces a dynamic modeling approach using partial differential equations to analyze information diffusion in online networks. It employs the Laplacian matrix to identify user communities, embedding them in Euclidean space for further analysis. The authors validate their models with Twitter data, exploring significant events like the Egyptian revolution and predicting influenza prevalence. This innovative method proposes a paradigm shift in understanding information flow, offering a foundation for future spatio-temporal modeling in the big-data era.