Conspiracy in the Time of Corona: Automatic detection of Emerging Covid-19 Conspiracy Theories in Social Media and the News

Abstract Rumors and conspiracy theories thrive in environments of low confi- dence and low trust. Consequently, it is not surprising that ones related to the Covid-19 pandemic are proliferating given the lack of scientific consensus on the virus’s spread and containment, or on the long term social and economic ramifications of the pandemic. Among the stories currently circulating are ones suggesting that the 5G telecommunication network activates the virus, that the pandemic is a hoax perpetrated by a global cabal, that the virus is a bio-weapon released deliberately by the Chinese, or that Bill Gates is using it as cover to launch a broad vaccination program to facilitate a global surveillance regime. While some may be quick to dismiss these stories as having little impact on real-world behavior, recent events including the destruction of cell phone towers, racially fueled attacks against Asian Americans, demonstrations espousing resistance to public health orders, and wide-scale defiance of scientifically sound public mandates such as those to wear masks and practice social distancing, countermand such conclusions. Inspired by narrative theory, we crawl social media sites and news reports and, through the application of automated machine-learning methods, discover the underlying narrative frame- works supporting the generation of rumors and conspiracy theories. We show how the various narrative frameworks fueling these stories rely on the alignment of otherwise disparate domains of knowledge, and consider how they attach to the broader reporting on the pandemic. These alignments and attachments, which can be monitored in near real-time, may be useful for identifying areas in the news that are particularly vulnerable to reinterpretation by conspiracy theorists. Understanding the dynamics of storytelling on social media and the narrative frameworks that provide the generative basis for these stories may also be helpful for devising methods to disrupt their spread

Software is Scholarship

This Article provides the first systematic account and justification of software applications as works of scholarship. Software is scholarship to the extent that software functionality is derived from scholarly research, software is used as a means to develop scholarship, or software is used as a medium to communicate scholarly ideas. Software applications are superior to articles and books for communicating scholarly ideas because software is not limited by the constraints of traditional written works. Software can communicate using a wide variety of textual components, graphical elements, and programmable interactivity that significantly enhance the ability to communicate scholarly concepts, arguments, and findings. This Article identifies four methods for software applications to enhance scholarly communication: app-ified argumentation that provides theoretical clarity, interactive toolkits that create rich qualitative studies, data visualizations that persuade using data, and policy tech that improves the ability to enact social change. Interactive software applications can enhance research agendas in the humanities and social sciences by making traditional, prose scholarship more thorough, persuasive, and analytically precise. Due to recent innovations, developing software for scholarly purposes is accessible to those that work in the humanities. Platforms for developing software have grown so sophisticated that they no longer require creators to write code to develop powerful, data rich, and well-designed interactive applications. Scholars should accordingly use and develop software to better communicate their ideas. By providing a framework for developing software as works of scholarship, this Article contributes to the field of digital humanities. To better understand this Article’s concept of scholarly software, I apply my conceptualization of scholarly software to legal scholarship and legal technology and discuss three case studies: LegalTech toolkits, voice recognition for automated contract drafting, and court data visualizations. Law is a fertile ground for the development of scholarly software because the core of legal reasoning consists of a formalistic, computational structure that is well-expressed through programmable applications. This Article contributes to legal scholarship by identifying how it can be enhanced through the creation of software applications

Network Visualization in the Humanities (Dagstuhl Seminar 18482)

This report documents the program and the outcomes of Dagstuhl Seminar 18482 "Network Visualization in the Humanities", which took place November 26-30, 2019. The seminar brought together 27 researchers on Network Visualization and Digital Humanities communities. During the seminar the participants shared knowledge on the existing methods of network visualization and on network visualization challenges present in the Humanities through the introductory talks, the abstracts of which are included in this report. Multiple innovative research challenges for Network Visualisation in the Humanities have been identified and according to those four working groups have been set up that discussed the topics in detail. The summary of the discussions of the working groups is given in this report