Postgraduate research opportunities Addressing Misinformation in Menopause Social Media Posts
ApplyKey facts
- Opens: Monday 20 January 2025
- Deadline: Friday 30 May 2025
- Number of places: 1
- Duration: 3 years
- Funding: Home fee, Stipend
Overview
Information on social media is prone to misinformation. This project aims to identify and classify menopause misinformation on social media. The PhD student will review the literature to define misinformation categories for menopause, train AI models to detect such content in social media posts and collaborate with menopause communities to design and evaluate a prototype for menopause misinformation identification in social media posts.Eligibility
- Academic excellence, i.e. distinction or first-class UK Honours degree, or an international equivalent, in Computer Science or related field; or a Masters (preference for Merit or above).
- Strong presentation skills.
- Strong writing skills
- Good computer programming skills
- Good UX design skills
- Appropriate IELTS score, if required.

Project Details
Menopause is a critical life transition, marking the end of menstrual cycles. This phase is often accompanied by a wide range of symptoms, varying in type and severity, which can create feelings of confusion and uncertainty. These challenges can significantly affect women’s quality of life, negatively influencing their physical health and emotional well-being. Previous studies on menopause information seeking have suggested that women feel comfortable seeking and making sense of their menopause experiences through sharing their lived experiences in communities. Accordingly, women turn to social media to find support and share their lived experiences of menopause. Unfortunately, since anyone can share their own experiences and opinions, the information provided on social media may be inaccurate, incomplete, contradictory and prone to misinformation. This project seeks to identify misinformation types in social media posts and to provide credible learning pathways about menopause on online platforms.
The aim of the project is to identify the key misinformation typologies in menopause information-related posts shared on social media and to build and evaluate a digital tool that addresses the misinformation with scientific evidence. The project’s main outcome is to support women to learn about their menopause body experiences through social media interactions more effectively by using credible information.
Further information
You may contact Dr. Catherine Chavula (catherine.chavula@strath.ac.uk) or Professor Ian Ruthven (ian.ruthven@strath.ac.uk) to discuss this PhD project before submitting an application.
Funding details
The project is funded by the John Anderson Research Studentship Scheme (JARSS) at the University of Strathclyde, as part of the Research Excellence Awards (REAs). More information about the scheme is available here: John Anderson Research Studentship Scheme (JARSS). The studentship is open to Home and International students and will cover the full stipend and tuition fees at the home level (not the international level). To be classified as a home student, applicants must meet one of the following criteria:
- be a UK national (meeting residency requirements)
- have settled status
- have pre-settled status (meeting residency requirements)
- have indefinite leave to remain or enter.
If a student does not meet the criteria above, they will be classed as an international student. International students with international fees status are responsible for covering the difference between Home and International fees and are not permitted to use their stipend for this purpose.
While there is no funding in place for opportunities marked "unfunded", there are lots of different options to help you fund postgraduate research. Visit funding your postgraduate research for links to government grants, research councils funding and more, that could be available.
Supervisors
Dr Catherine Chavula
Lecturer In Information Retrieval
Computer and Information Sciences
Apply
If you are interested in this opportunity, please get in touch to schedule a meeting before submitting your application. Applications must be submitted through the University of Strathclyde's application system, Pegasus by 30 May 2025.
Your application should include:
• a brief research proposal specifying how you would address the project aims specified in the project description (500 words)
• CV – 2 pages
• all degree transcripts and certificates
Number of places: 1
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Computer and Information Sciences
Programme: Computer and Information Sciences
Contact us
- Dr. Catherine Chavula (catherine.chavula@strath.ac.uk)
- Professor Ian Ruthven (ian.ruthven@strath.ac.uk)