The Scale Bottleneck
Limiting a program to an elite cohort of five writers due to the constraints of manual portfolio reviews means thousands of high-value student perspectives are left untapped.
High-Impact Collaborative Journalism and Non-Academic Writing
University College London
London · United Kingdom
Case Study · University College London
UCL's Student Storyteller program is a five-writer, no-AI editorial cohort. UpperClass unlocks the same rigor at the scale of hundreds of student voices.
Section 01
Originally established as the Student Journalism Scheme, UCL transitioned the program to "Student Storytellers" under the Student Communications team within the Office of the Vice-Provost for External Engagement (VPEE). This shift expanded the program's focus beyond basic campus reporting to professional collaborative journalism and research translation.
Section 02
This program selects a small cohort of five writers from a highly competitive pool of 80 to 100 applicants each year. Storytellers are employed on casual, zero-hour contracts through Unitemps. They are paid £14.85 per hour of completed work, plus £2.78 per hour in holiday pay. A standard 500-word article is expected to take four to five hours. Creators have a flexible schedule with a minimum commitment of one article per term.
Storytellers collaborate with UCL's Media Relations and social media teams, receiving professional training from working journalists to write articles for UCL Student News. The application requires candidates to submit non-academic writing portfolios and detailed pitches that address London student life, wellbeing, or campus community.
UCL enforces a strict ban on generative AI (like ChatGPT) during both the application phase and throughout the program to preserve human storytelling.
→ Banned use of generative AI │ ├──→ Direct media relations mentorship │ └──→ Translation to peer-to-peer publishing
Section 03
Storytellers successfully translate complex academic achievements and student support initiatives into highly personal, trusted peer-to-peer content.
By profiling student wellbeing initiatives, such as Student Support and Wellbeing (SSW) resources on homesickness, the program helps build a supportive, inclusive campus culture.
Section 04
Limiting a program to an elite cohort of five writers due to the constraints of manual portfolio reviews means thousands of high-value student perspectives are left untapped.
UpperClass uses an AI-native infrastructure layer to run large-scale call-for-content campaigns. Our automated ingestion layer screens for generative-AI violations, matches student creators based on demographic niches, and lets you safely govern a network of hundreds of student voices simultaneously.
Unify paid, volunteer, and ambassador cohorts into one dashboard — with automated content briefs, brand guardrails, and CRM-linked analytics.