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Privacy & Compliance

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.

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User Trust in Platform Transparency Reports

Welcome! This survey explores your views on transparency reports published by online platforms. It should take approximately 11 minutes to complete. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, anonymized, and will be reported only in aggregate for research purposes.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

21 questions · ~11 min
Message

Welcome! This survey explores your views on transparency reports published by online platforms. It should take approximately 11 minutes to complete. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, anonymized, and will be reported only in aggregate for research purposes.

Message

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).

Q01
Multiple Choice

Before today, had you heard of transparency reports published by online platforms?

  • Yes
  • No
  • Not sure
Q02
Dropdown

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
Q03
Multiple Choice

Which platforms' transparency reports have you read or reviewed? Select all that apply.

  • Meta (Facebook/Instagram)
  • Google/YouTube
  • X (Twitter)
  • TikTok
  • Microsoft/LinkedIn
  • Reddit
  • Snapchat
  • Apple
  • None of these
  • Other
  • Not sure
Message

<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>

Q04
Multiple Choice

According to the excerpt you just read, how many account suspensions were reported?

  • 5,000
  • 12,000
  • 20,000
  • 50,000
Q05
Multiple Choice

Which violation category had the highest percentage in the excerpt?

  • Spam
  • Harassment
  • Hate speech
  • Child safety
Q06
Opinion Scale

How clear was the example excerpt overall?

Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q07
Opinion Scale

Overall, how much do you trust transparency reports published by online platforms?

Scale: 1 – 7
Min:Do not trust at allMax:Trust completely
Q08
Opinion Scale

How confident are you that transparency reports accurately reflect what platforms are actually doing?

Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q09
Opinion Scale

How likely are you to read the next transparency report you come across?

Scale: 1 – 7
Min:Extremely unlikelyMax:Extremely likely
Q10
Opinion Scale

To what extent do you agree or disagree: Transparency reports help hold online platforms accountable for their decisions.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q11
Opinion Scale

To what extent do you agree or disagree: Transparency reports are published frequently enough to be useful.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q12
Opinion Scale

To what extent do you agree or disagree: The data in transparency reports is detailed enough for me to draw my own conclusions.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q13
Opinion Scale

To what extent do you agree or disagree: I believe online platforms selectively present data in transparency reports to make themselves look better.

Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q14
Multiple Choice

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
Q15
Long Text

Based on your responses in this survey, what single change would most increase your trust in or understanding of transparency reports?

Q16
AI Interview

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.

Q17
Dropdown

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q18
Multiple Choice

Which of the following best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q19
Dropdown

In which country do you currently reside?

  • United States
  • United Kingdom
  • Canada
  • Australia
  • India
  • Other
  • Prefer not to say
Q20
Dropdown

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
Q21
Dropdown

What is your current employment status?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Student
  • Unemployed
  • Retired
  • Homemaker / caregiver
  • Prefer not to say
Message

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.

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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 Template

This 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.

What it does well

  • 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

Where it falls short

  • 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

Frequently asked questions

What questions are in the “User Trust in Platform Transparency Reports” template?

The template includes 21 ready-to-use questions, starting with: “Before today, had you heard of transparency reports published by online platforms?” · “When did you last read or review a transparency report from an online platform?” · “Which platforms' transparency reports have you read or reviewed? Select all that apply.”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 21 questions in about 11 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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