THE BRIGHT STARLING
Critical AI Literacy · Media
Starling · Initializing
The Bright Starling is a media company turning original research into critical AI literacy — for the two audiences everyone else overlooks: young adults assumed too savvy to be harmed, and older adults assumed too out of touch to matter.
01 / The Myth
"Digital natives." "Tech-illiterate." Neither label was ever accurate — and both have left their respective audiences unprotected.
Existing media serves neither group well: dry institutional material, or youth content with no research grounding behind it.
Original research, translated into the language people actually use.
Young Adults
ASSUMED IMMUNE TO HARM
The Reality
Algorithmic exploitation in gig work, AI-driven job scams, and data harvesting they rarely get to question.
Older Adults
FRAMED AS THE ONLY ONES AT RISK
The Reality
Sophisticated AI voice-cloning scams and algorithmic exclusion from banking, health, and insurance systems.
02 / The Model
Podcast, YouTube, Instagram reels, TikTok, and live fireside chats — translating original research into story-driven content, not generic "online safety" advice.
Grounded in documented cases from the Data Harms in Canada project. Two-sided distribution: direct social reach with young adults; family- and community-mediated reach with older adults.
Academic Research
Data Harms in Canada
Bright Starling
Podcast, video, social
Audience Protection
Critical AI literacy
Why Now
of Canadian adults are now monthly podcast listeners — the largest year-over-year jump on record. (Signal Hill Insights, 2025)
03 / Competitive Landscape
Tech-Explainer Creators
HIGH REACH, NO RESEARCH
Wide audience, but no original research grounding behind the content.
Library / Gov't Programs
CREDIBLE, LOW REACH
Institutionally trustworthy, but low reach and low production value.
Aging-Focused Media
NOT AI/DATA-HARM SPECIFIC
Reach with older adults — but not built around AI or data harms specifically.
The Bright Starling ✦
Research credibility + reach across both underserved audiences at once — with original findings no competitor can easily replicate.
Sized from public Statistics Canada and podcast-industry data
04 / Business Model
Build trust and reach first — monetize as credibility compounds.
Podcast, YouTube, and social content monetized through brand sponsorships and advertising once audience reach is established.
Paid critical-AI-literacy tools and workshops for individuals and community organizations, building on research credibility.
Training and consulting for organizations and policymakers, leveraging documented research on age and data harms.
05 / Go-to-Market
Workshops (Jul 22–24) and resulting paper (late Aug) ground the brand in original findings.
Translate workshop findings into first podcast episodes, YouTube/reels, and fireside chats.
Social/podcast reaches young adults directly; community and family-sharing pipelines reach older adults.
Sponsorships/advertising as primary revenue; B2B/B2G training as a research-backed secondary stream.
Research-validated foundation — a pre-revenue media company building toward Year 1 launch.
Workshops
Jul 22–24
Paper Published
Late Aug
Content Launch
September
Audience Growth
Oct–Nov
Startup Costs
equipment, software, branding, admin
Revenue to Date
pre-revenue; research & brand-formation phase
Est. CAC
per audience member; organic/referral-led
Revenue Projection
Founder-estimated, directional projections — not based on signed contracts or historical financials.
Janelle Allan
Founder — Media, Research & Production
06 / Why This Founder
Janelle holds a degree in Media & Communications (Honours) from Western University and is currently completing a Master's in Media Studies, developing original research skills firsthand — not borrowing someone else's findings.
She brings media production, graphic design, journalism, and writing skills in-house — no outsourcing needed. Every episode, reel, and report can be built, shot, and shipped without waiting on anyone else.
Western University — Media & Communications (Honours), M.A. Media Studies (in progress)
Researcher, Data Harms in Canada: Investigating the Significance of Age
Starling Centre, Western University (Faculty of Information & Media Studies) — led by Dr. Joanna Redden
Aging in Data (AiD), housed in the ACT Lab at Concordia University
The research is already underway and scheduled. We are asking for the support to turn that credibility into a sustainable media business.
Structured guidance to turn research credibility into a sustainable media business model.
Protects founder time to build content and audience during the critical post-research launch window.
Accelerator credibility and connections to help open early sponsorship and partnership conversations.
The Bright Starling sits at the intersection of two underserved audiences — with original research, peer credibility, and a distinct brand voice no competitor can easily replicate.
We don't just explain the future. We help you reclaim it.