Social media data analysis of IoT risks in smart cities

Alajmi, Abdullah, Petri, Ioan ORCID: https://orcid.org/0000-0002-1625-8247, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Fadli, Fodil 2023. Social media data analysis of IoT risks in smart cities. Presented at: 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Edinburgh,UK, 19-22 June 2023. 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). (1) IEEE, pp. 1-7. 10.1109/ICE/ITMC58018.2023.10332268

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Abstract

Social media has emerged as the most popular platform for individuals from all walks of life who wish to connect with one another to discuss recent news or events that have taken place all over the globe. Twitter, in particular, is among the most important social networks with users that produce real time content. Users can also create a new hashtag or a particular topic to attract other users to enter a discussion. Within the scope of this research project, our goals are to gain an understanding of the effect that social media data has on the Internet of Things (IoT) in smart cities, to provide a description of the risks that have been posed, and to determine whether each individual tweet is neutral, positive, or negative in relation to evaluation criteria. We have conducted research by studying the effects of weather and temperature and how they affect the Internet-of-Things. We use data and scenarios using the World Cup event that took place in Qatar as a prominent example because of the large number of people, services and assets allocated and associated data.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering
Publisher:	IEEE
ISBN:	979-8-3503-1518-9
Date of First Compliant Deposit:	16 February 2024
Last Modified:	16 Mar 2024 02:30
URI:	https://orca.cardiff.ac.uk/id/eprint/165654

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