PhD in The Algorithmic Gaze Mapping Social Media Trends And Their Impact Using Artificial Intelligence (phd)

University of Portsmouth, established in 1869 and located in the historic coastal city of Portsmouth, offers a vibrant student experience with around 28,000 students, including approximately 5,000 international learners. The university combines strong teaching and research with practical industry links and a waterfront location that enriches campus life. Its long history of technical and professional education makes it a familiar choice for students seeking applied learning in a city with excellent transport links.

Portsmouth provides a range of programs organized across ten broad subject areas, encompassing engineering, business, health professions, creative arts and sciences. Students benefit from industry placements, modern laboratories and career-focused modules that enhance employability. The university also supports research-led teaching and partnerships with local employers, giving international students opportunities to gain real-world experience alongside academic study.

Comprehensive support services help international students with visas, accommodation, language preparation and wellbeing, while student societies and campus activities foster social integration. With practical training options, placement support and access to regional industries and cultural sites, Portsmouth is well suited to students who value both academic quality and hands-on experience. Prospective applicants should investigate program specifics, placement opportunities and scholarship options before applying.

Using pretrained foundation models, including Large Language Models (LLMs), for data processing/augmentation, this PhD in The Algorithmic Gaze Mapping Social Media Trends And Their Impact Using Artificial Intelligence from the University of Portsmouth will analyze social media content to extract insights and identify trends. The project leverages the latest advances in artificial intelligence and machine learning, focusing on the increasingly younger age groups consuming social media content. The research will explore the shifting content types, from text-based to image and video, and their effects on individuals, families, and society. This project is supervised by Dr Ella Haig and Dr Alaa Mohasseb in the School of Computing and is particularly interested in integrating findings from psychology and sociology to guide computational analysis and identify meaningful trends over time.