Bøger af Jingrong Tong

Data Journalism and the COVID-19 Disruption offers an international, multidisciplinary account of how and to what extent the COVID-19 pandemic has been a blessing for data journalism.Bringing together insights into current developments in data journalism during (and since the onset of) the COVID-19 pandemic from word-leading data journalism practitioners and academics, the book draws on case studies and examples from different countries to critically reflect on emerging data journalism practices during the pandemic and their sustainability and implications for journalism and newsroom work in the post-pandemic era. The chapters document changes in the practice and integration of data journalism into newsrooms and the 24/7 news cycle after the unexpected onset of the pandemic, and explore how newsrooms and journalists are coping with the sudden and immense demand for data journalism and related challenges. The book also scrutinizes the implications for understanding the roles played by newsroom structure and operation, the uncertain nature of data, and the relationship between journalism and other social entities such as audiences and the state in journalism's development through times of crisis.Offering a timely contribution to the discussions on how data journalism evolved during a time of crisis, this volume will appeal to scholars and students of data journalism, journalism practice, media and communication studies, and media industry studies.

Complexities and dilemmas are evident in journalism in the digital and data age. Scarcity of audiences' attention jeopardises the survival of information media in the market, technological penetration increasingly renders journalism a complex information system, and the rise of partisan journalism accompanies the crisis of objective reporting.Analysing the evolving industry as it turns to the help of digital technologies such as algorithms and cloud computing to reach and engage local and global audiences, Journalism, Economic Uncertainty and Political Irregularity in the Digital and Data Era explores the challenges journalism faces in great depth and detail. Tong discusses the transformation of quality journalism that has become high-tech, interdisciplinary, saturated with human interest, and sometimes even fiercely partisan under the influence of multiple disruptions brought about by digital technology, economic uncertainty, and political irregularity.A timely and important contribution to the research of journalism, Journalism, Economic Uncertainty and Political Irregularity in the Digital and Data Era bridges media with the fields of sociology, politics, technology, and culture studies - central for academics, writers and researchers.

Considering the interactions between developments in open data and data journalism, Data for Journalism offers an interdisciplinary account of this complex and uncertain relationship in a context of tightening the control over data and weighing transparency against privacy.

A cutting-edge exploration of journalism in the era of digital media technology and big and open data.

The Brexit referendum on Twitter:a mixed-method computational analysis investigates how Twitter worked in shaping political discourse and its potential for fuelling populism in the month leading to the referendum.

A mixture of fieldwork and analysis of internal and public documents and media cases accurately survey the field and put it in context.

This book maps Twitter discourses on marginalised environmental concerns during the UK's 2016 EU referendum campaign. Focusing on EU institutional influence in British environmental protection policy and charting the roles played by ENGOs and British political parties, it reveals how British environmental politics extended onto Twitter.