How users tweet about a cyber attack: An explorative study using machine learning and social network analysis
Document Type: Research Article
Affiliations: 1: 0000000419370650University of Zurich 2: 0000000121769917Heinrich Heine University Düsseldorf
Publication date: June 1, 2020
This article was made available online on May 13, 2020 as a Fast Track article with title: "How users tweet about a cyber attack: An explorative study using machine learning and social network analysis".
- The Journal of Digital Media and Policy (formerly known as International Journal of Digital Television) aims to analyse and explain the socio-cultural, political, economic and technological questions surrounding digital media and address the policy issues facing regulators globally. This double-blind-peer-reviewed journal brings together and shares the work of academics, policy-makers and practitioners, offering lessons from one another's experience. Content is broad and varied, ranging from a mixture of critical work on technology, industry and regulatory convergence, to the emerging wider socio-cultural and political questions such as the application of online networks, the rise of cloud computing and the Internet of Things. We intend to examine critically emerging wider questions such as the role of 'digital citizens', the regulatory environment for the new platform industry and the role of state regulation in an increasingly global media industry.
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