Social Network of Influence: Regulating Online Social Media Influencers “How Twitter Network Analysis Helped in Legal Reforms”

Wednesday, November 20, 2019 - 12:00pm
CS Smart Lab

You are cordially invited to attend a talk on “How Twitter Network Analysis Helped in Legal Reforms” by Dr. Eranjan Padumadasa from Queen Mary University of London on Wednesday, November 20th at 12:00 am.

Abstract

This study was completed at the invitation of European Commission to investigate the enforcement measures of online gambling regulations in Europe. The regulators were particularly interested in the use of social media influencers used for gambling advertising. The case study explored the networks and subnetworks on twitter to identify the influencers emanating from these sub networks. Identification of these influencers helped to understand how to regulate them.

Twitter has been identified as one of the social media networks (SMN) that help users exchange information, what some might call as “digital noise”, used in the context of online gambling to share betting odds, betting tips, deals with gambling enthusiast. Due to the nature of being able to share concise information with mass amounts of people have made twitter a popular social media network and have gained traction over some other social media outlets such as YouTube, Facebook for certain types of gambling.

Bio:

Dr. Eran Padumadasa Lecturer in Information Technology Management / Programme Director Degree Apprenticeships – DTS Level 6. Eran is an Academic from the School of Electronic Engineering and Computer Science at Queen Mary University of London. With over 10 years of academic experience in higher education his field of expertise ranges from Computer Science to Law. He holds a Bachelor’s degree in Computer Science from which he moved on to Management and Economics and completed a PhD in Commercial Law. His area of expertise is in cyberspace law and is currently working on Artificial Intelligence and Machine Learning projects. His research interests range from AI, Tech law, Decision Sciences, Business Process Innovation. He is also the programme director for degree apprenticeships degree programme at QMUL.