Dr JuEunhae Knox

I am a Lecturer of Digital Media at the University of Stirling, specialising in social media, data mining, and AI governance. My background merges literature and language with digital media, bridging new methods in research and industry.

My research was the first of its kind to explore Instapoetry as a case study of the digital gig economy's influence on creator culture. I co-led the inaugural global conference #Reading Instapoetry and published the first collection of critical essays on the subject (Bloomsbury 2024), as well as a special issue on global Instapoetry (EJES 2023). My recent work examines content creation on Instagram, TikTok, Reddit, LinkedIn, and other platforms, studying how content creators work within tight social media boundaries. I use sentiment analysis, text mining, and network analysis to observe how publics and counter-publics evolve within algorithmic black boxes.

I also examine AI development in conjunction with creative industries and the arts. My extensive experience with AI governance at Sheffield, Glasgow, and now Stirling enables me to support students in using AI and LLM models appropriately. I teach students how to showcase both their computational analytic tools and human expertise to future employers in rapidly changing industry contexts.

• Social media platform governance
• Sentiment analysis
• Text mining and NLP
• Network analysis
• Coding approaches for humanities
• Platform communities
• Poetic evolutions (online and IRL)
• Creative Economy and gig labour
• Digital humanities methods
• Quanti/qualitative mixed approaches

Modules:

• Key Concepts of Digital Media
• Social Media Marketing and Analytics
• Advanced Social Media Analytics
• Research Methods

Taught Skills and Tools:

• Social media metrics and campaign strategy
• Sentiment analysis and opinion mining (with and without AI)
• Network analysis (Gephi Lite)
• Narrative and discourse analysis
• Interview tactics
• Text mining
• Data extraction
• Python programming
• Pivot table construction