Tampa, Florida
June 15, 2019
June 15, 2019
June 19, 2019
Computers in Education
19
10.18260/1-2--32574
https://peer.asee.org/32574
564
Hieu-Trung Le is pursuing his PhD in Information Technology at George Mason University. He is currently a cybersecurity architect at a large organization, with expertise in leading IT and security engineering implementation, risk management, vulnerability assessment, and ethical hacking. He provides consulting services for both the federal and commercial sectors and served as the subject matter expert for information security domains. His research focuses on engineering education, using social media data and tools to help improve learning for students and professionals in the cybersecurity field.
Aditya Johri is Associate Professor in the department of Information Sciences & Technology. Dr. Johri studies the use of information and communication technologies (ICT) for learning and knowledge sharing, with a focus on cognition in informal environments. He also examine the role of ICT in supporting distributed work among globally dispersed workers and in furthering social development in emerging economies. He received the U.S. National Science Foundation’s Early Career Award in 2009. He is co-editor of the Cambridge Handbook of Engineering Education Research (CHEER) published by Cambridge University Press, New York, NY. Dr. Johri earned his Ph.D. in Learning Sciences and Technology Design at Stanford University and a B.Eng. in Mechanical Engineering at Delhi College of Engineering.
Aqdas Malik is a Postdoctoral Research Fellow at the Department of Information Sciences and Technology, George Mason University. His multidisciplinary academic and industry experience spans two key disciplines: Human-Computer Interaction and Social Media Communication and Analytics. He is currently engaged in a number of research projects funded by the National Science Foundation (NSF). In some of his recent projects he has applied big data techniques and tools to investigate the role of social media in engaging public and under-represented communities towards STEM education and informal learning.
Cybersecurity is a rapidly evolving field where professionals constantly need to keep up with new technologies and retrain. In this paper, we present a study that analyzed social media data and use the findings to aid professionals and students to learn more effectively using Twitter. We analyzed 23,000 cybersecurity related tweets posted on Twitter across two hashtags #cybersecurity and #infosec. Our analysis created a framework that explains how using descriptive, content, and network analysis can generate information that can help professionals learn. In addition, our analysis provided insights on the tweets and the cybersecurity community that use them. These insights include: Most tweets covered multiple topics and used three or more hashtags. Companies and other organizations had the highest numbers of followers, but individual users, experts in the field, were the most retweeted. Popular users, based on follower counts, were not necessarily the most influential (based on retweets). In terms of content, popular tweets consisted of infographics that packed a lot of information. Tweets were commonly used to announce file dumps of hacks and data leaks. Many highly used hashtags represented current threats and the overall sentiment of cybersecurity tweets are negative. Highly connected users on Twitter served as hubs across the three primary sub communities identified in the data. Insights from his study can assist with improving workforce development by guiding professionals in getting pertinent information and keeping up to date with the latest security threats and news.
Le, H., & Johri, A., & Malik, A. (2019, June), Curating Tweets: A Framework for Using Twitter for Workplace Learning Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32574
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