User Trust in Platform Transparency Reports
Measures how users interpret, trust, and engage with online platforms' transparency reports. Designed for researchers and compliance teams evaluating perceived clarity, credibility, and improvement opportunities.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Before today, had you heard of transparency reports published by online platforms?
- Yes
- No
- Not sure
<p>Please read the following fictional excerpt from a transparency report.</p><p>---</p><p><strong>Sample Transparency Report (Fictional)</strong></p><p>Reporting period: January–June 2024</p><p>Reports reviewed: 50,000</p><p>Actions taken: 12,000 account suspensions; 20,000 content removals</p><p>Violation categories: Spam (45%), Harassment (25%), Hate speech (18%), Child safety (12%)</p><p>---</p><p>The next few questions will ask about this excerpt.</p>
Overall, how much do you trust transparency reports published by online platforms?
To what extent do you agree or disagree: Transparency reports help hold online platforms accountable for their decisions.
Which features would most improve your understanding of transparency reports? Select up to three.
- Key takeaways summary
- Charts and visuals
- Methodology notes
- Examples of enforcement actions
- Raw data download
- Glossary of terms
- Search and filter tools
- Comparative trends over time
- Other
Based on your responses in this survey, what single change would most increase your trust in or understanding of transparency reports?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey. Your responses have been recorded and will contribute to research on how transparency reports can better serve users. We appreciate your time.
For this survey, 'transparency reports' refer to periodic summaries published by online platforms detailing their policy enforcement activities (e.g., content removals, account actions, appeals outcomes, government data requests).
When did you last read or review a transparency report from an online platform?
- In the last 30 days
- 31–90 days ago
- 3–6 months ago
- More than 6 months ago
- I have not read one
- Not sure
According to the excerpt you just read, how many account suspensions were reported?
- 5,000
- 12,000
- 20,000
- 50,000
How confident are you that transparency reports accurately reflect what platforms are actually doing?
To what extent do you agree or disagree: Transparency reports are published frequently enough to be useful.
We'd like to explore your thoughts on transparency reports in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.
Which of the following best describes your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Which platforms' transparency reports have you read or reviewed? Select all that apply.
- Meta (Facebook/Instagram)
- Google/YouTube
- X (Twitter)
- TikTok
- Microsoft/LinkedIn
- Snapchat
- Apple
- None of these
- Other
- Not sure
Which violation category had the highest percentage in the excerpt?
- Spam
- Harassment
- Hate speech
- Child safety
How likely are you to read the next transparency report you come across?
To what extent do you agree or disagree: The data in transparency reports is detailed enough for me to draw my own conclusions.
In which country do you currently reside?
- United States
- United Kingdom
- Canada
- Australia
- India
- Other
- Prefer not to say
How clear was the example excerpt overall?
To what extent do you agree or disagree: I believe online platforms selectively present data in transparency reports to make themselves look better.
What is the highest level of education you have completed?
- Less than high school
- High school or equivalent
- Some college / associate degree
- Bachelor's degree
- Postgraduate degree
- Prefer not to say
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Unemployed
- Retired
- Homemaker / caregiver
- Prefer not to say
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.
AI가 작성한 문안
문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.
자동 리포트
응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.
다른 서비스와 비교
다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.
이 템플릿을 선택하는 이유
- Includes a built-in comprehension check (fictional transparency report excerpt with follow-up multiple-choice questions) to test actual clarity, not just self-reported clarity.
- Captures a full trust/credibility profile via multiple opinion-scale items (trust, confidence in accuracy, perceived frequency/detail, suspicion of selective reporting) rather than a single satisfaction score.
- Adds a dedicated AI follow-up interview segment to probe open-ended reasoning behind ratings, something no static form in this space offers.
- Ends with a structured open-text question on the single change that would most increase trust, plus standard demographics, giving compliance teams both quantitative and qualitative improvement signals.
SurveyMonkey
Supply Chain Transparency Survey TemplateThis is a static, fielding-ready template, but it's built for supply chain transparency (suppliers, sourcing, ethics), not user perceptions of platform transparency reports. It's useful as a general transparency-survey structure but not purpose-built for this template's compliance/trust-in-reporting use case.
잘하는 점
- Established survey platform with broad distribution and panel options
- Pre-built question set saves setup time for a related transparency topic
- Easy to customize wording for adjacent transparency use cases
아쉬운 점
- Fixed question set with no adaptive AI follow-up probing on trust or credibility reasoning
- No voice AI interview or guided screen-share task option
- No automated per-response quality scoring or transparent prompt methodology, and topic focus is supply chain rather than platform transparency reports
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