Accepted tutorials:
From Trolling to Cyberbullying: Using Machine Learning and Network Analysis to Study Anti-Social Behavior on Social Media
Keywords: anti-social; online discourse; toxicity analysis; social network analysis; trolling;
cyberbullying; computational social science.
Proponents:
- Prof Anatoliy Gruzd, Social Media Lab, Toronto Metropolitan University
- Philip Mai, Social Media Lab, Toronto Metropolitan University
- Felipe Bonow Soares, London College of Communication, University of the Arts London (UAL)
Date and registration: …coming soon
Prerequisites: to participate in the tutorial, participants need to have a laptop with access to the internet and a modern web browser. The primary tool to be used during the tutorial is Communalytic which runs from within a web browser and does not require any additional software.
Digital spaces, such as social media, blogs, chatrooms, forums, commenting sections of websites, are now an integral part of modern communication practices. Together, they have had a profound impact on various aspects of our daily lives, ranging from the way we form and maintain social relationships to how we access and share information online. However, they have also contributed to a rising tide in anti-social behaviors such as cyberbullying, online trolling, and expressions of hate speech. Although some forms of anti-social behavior may be considered a communal norm and a means of socialization in certain online discourse, this is not the case in most situations. Such behavior can negatively impact group cohesion and lead to psychological and emotional consequences for users.
This tutorial provides an overview of how to use machine learning and social network analysis techniques to detect and examine anti-social behavior in online discourse. This tutorial is intended for researchers and practitioners in the Hypertext field interested in computational social science methods and will equip them with the necessary knowledge to analyze and combat anti-social behavior in digital spaces. The tutorial will draw on examples from social media; however, the tools and techniques introduced in this training can be used to identify and analyze toxic and anti-social interactions in any type of digitized discursive data.
Design of Map-based Hypertext Systems
Keywords: interactive maps; GIS; interaction design; spatial hypertext.
Proponent:
- Dr Alessio Antonini, Knowledge Media Institute, The Open University
Date and registration: …coming soon
Prerequisites: the tutorial will provide all basic notions and previous knowledge about maps is not a requirement.
The tutorial focuses on the design of map-based hypertext systems. Firstly, the tutorial will introduce spatial data types and the Open Street Map data, basic notions of cartography like scale and map themes, and an overview of the technologies behind interactive maps. The tutorial will provide practical guidelines about the connections between a) user interaction with maps, b) spatial data processing and c) visualisation. Following, the tutorial will walk participants through good and bad practices in the design of interactive maps.