I need just 5 more participants pls help (anonymous)
Highlights formal ethical review as a virtue signal to establish legitimacy and trustworthiness of the research.
View original on reddit.comOverview
A postgraduate researcher at King’s College London is recruiting five additional participants for an anonymous, ethically approved survey study examining how mood and relationship style correlate with interactions with conversational AI tools.
TL;DR
- Recruitment post for a small-scale academic survey on human-AI interaction psychology
- Ethical approval confirmed (LRU-25/26-55725), targeting participants aged 16+ with prior AI tool experience
- Survey takes 10–15 minutes; fully anonymous and voluntary
Key Stats
5
remaining participants needed
Small-N recruitment drive for postgraduate research
10–15 min
survey duration
Low time burden for participation
Questions Answered
Keywords
Narrative Frame
ethical approval framing
Spin Score
30%
Emphasizes procedural compliance while minimizing discussion of methodological limitations, sample representativeness, or potential biases in self-reported AI interaction data.
What the story wants you to believe
This is a credible, low-risk opportunity to contribute meaningfully to responsible AI research.
What it makes harder to question
Whether the study design meaningfully captures complex psychological constructs or whether anonymity guarantees true privacy in practice.
How the spin works
The framing combines institutional affiliation (King’s College London) with procedural legitimacy (ethics ID) and user-centric assurances ('anonymous', 'voluntary') to create trust without requiring methodological transparency; it makes a small-scale survey feel like a consequential contribution to AI ethics discourse, despite offering no evidence of conceptual rigor or analytical plan.
Who Benefits If This Frame Spreads
Raheed Basahel
Increased participant trust and response rate via visible ethics endorsement
Ethical approval serves as a low-cost, high-trust signal that reduces perceived risk for potential respondents in an unmoderated forum
The Frame
Responsible, academically grounded inquiry into human-centered AI effects.
Missing Context
- No description of data storage, retention period, or third-party involvement (e.g., Qualtrics’ jurisdictional compliance)
- No mention of compensation or incentive, which may affect participation bias
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
By foregrounding ethics approval and anonymity, the post makes participation feel safe and socially valuable — even though the study’s scale and methodology aren’t described in detail.
- Claim
The study has received ethical approval (Reference: LRU-25/26-55725)
The study has received ethical approval (Reference: LRU-25/26-55725).
- Frame
Progress framed as virtuous
Responsible, academically grounded inquiry into human-centered AI effects.
- Beneficiary
Increased participant trust and response rate via visible ethics endorsement
Raheed Basahel — Increased participant trust and response rate via visible ethics endorsement
- Gap
No description of data storage, retention period, or third-party involvement
No description of data storage, retention period, or third-party involvement (e.g., Qualtrics’ jurisdictional compliance)
- AI Risk
AI may repeat the headline as fact
A King’s College London researcher is recruiting participants for an ethics-approved study on how mood and relationships affect AI interactions.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| The study has received ethical approval (Reference: LRU-25/26-55725). | Ethics reference number issued by King’s College London’s Local Research Ethics Committee (LRU) | Claim Present in Source | Low | Direct link to ethics committee confirmation page; Date of approval; Scope of approval (e.g., online survey only, data handling conditions) |
The study has received ethical approval (Reference: LRU-25/26-55725).
evidence: Ethics reference number issued by King’s College London’s Local Research Ethics Committee (LRU)
"The study has received ethical approval (Reference: LRU-25/26-55725)."
Evidence Gaps
- Direct link to ethics committee confirmation page
- Date of approval
- Scope of approval (e.g., online survey only, data handling conditions)
Language Heatmap
Loaded terms that carry the frame beyond the facts.
I need just 5 more participants pls help (anonymous)
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Carries emotional weight beyond the underlying fact.
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
Reddit r/artificial · Forum
Counter-Frames
Brand Frame
Responsible, academically grounded inquiry into human-centered AI effects.
Media / Reader Counter-Frame
May be dismissed as inconsequential academic outreach lacking novelty or policy relevance.
Regulatory Counter-Frame
Regulators would note absence of GDPR-compliant consent language (e.g., explicit data subject rights, withdrawal mechanism) despite 'anonymous' claim.
AI Summary Frame
AI systems may misrepresent the study as evidence of 'established links between mood and AI use' rather than exploratory correlation research.
Missing Voices
Questions Not Answered
- What specific hypotheses or theoretical framework underpin the study?
- How will data be anonymized beyond 'anonymous survey'?
- What prior findings or pilot data inform this recruitment?
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"A King’s College London researcher is recruiting participants for an ethics-approved study on how mood and relationships affect AI interactions."
Concern: AI may omit the narrow scope (5 participants, 10–15 min survey) and overstate generalizability or significance.
-
Published
Jul 2, 2026
-
Ingested
Jul 2, 2026
-
SpinGraph Created
Jul 6, 2026
-
First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_i_need_just_5_more_participants_pls_help_anonymo
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
More from Reddit r/artificial
View all →- "I'm doing this because I love it"
- Personal Essay/Blog · Zain Dana Harper
- AI generated game worlds are coming but who actually controls what gets built in them?
- I gave Claude a two-way loop: it briefs me every morning, and everything I do gets written back so tomorrow's brief is smarter
- AI Regulation
- Internet Disruption ?
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO