Our Methodology
How we create unbiased polls from current events using AI, rigorous standards, and transparent processes.
Core Principles
These foundational principles guide every aspect of our poll creation process.
Neutrality
Questions are worded to avoid favoring any particular answer. We never use loaded language, leading questions, or emotionally charged framing.
Transparency
Every poll shows its source material, AI reasoning, and methodology. Users can understand exactly how each question was formulated.
Inclusivity
Answer options are designed to capture the full spectrum of reasonable positions, including nuanced middle-ground options.
Privacy
Individual votes are never linked to identities. Demographic data is only reported in aggregate to prevent re-identification.
The TruePulse Process
From news event to published poll, here's how we ensure quality and fairness.
News Aggregation
We continuously monitor hundreds of news sources across the political spectrum, including mainstream media, independent journalism, and international outlets.
Key Details
- •Sources rated for political lean using Media Bias/Fact Check data
- •Equal sampling from left, center, and right-leaning sources
- •International sources included for global perspective
- •Breaking news prioritized within 4-hour windows
Topic Extraction
AI algorithms identify trending topics and extract key themes, filtering out duplicates and low-relevance stories.
Key Details
- •Natural Language Processing (NLP) for theme identification
- •Cross-source validation to confirm story significance
- •Deduplication to avoid repetitive polling
- •Controversy scoring to identify high-interest topics
Question Generation
Our AI generates poll questions designed to be neutral, clear, and capture the full range of public opinion.
Key Details
- •Multiple AI models used with consensus voting
- •Questions reviewed for leading language
- •Answer options cover spectrum of reasonable positions
- •Neutral framing guidelines enforced algorithmically
Bias Review
Each poll undergoes automated and manual review to detect and correct any unintentional bias.
Key Details
- •Sentiment analysis on question wording
- •Answer option balance verification
- •Historical comparison with similar polls
- •Community flagging for additional review
Fraud Prevention
Multi-layered verification ensures one-person-one-vote integrity without compromising privacy.
Key Details
- •Email and phone verification options
- •Device fingerprinting (privacy-preserving)
- •Behavioral analysis for bot detection
- •Rate limiting and CAPTCHA challenges
Results Aggregation
Votes are aggregated in real-time with demographic breakdowns available without individual identification.
Key Details
- •Anonymous vote storage with cryptographic separation
- •Real-time percentage calculations
- •Demographic data aggregated at group level only
- •Statistical confidence intervals provided
AI-Powered, Human-Guided
We use state-of-the-art language models to generate poll questions, but AI is just one part of our quality assurance process.
Multiple Model Consensus
Questions are generated by multiple AI models independently. Only questions that achieve consensus on neutrality are published.
Bias Detection Algorithms
Specialized models analyze questions for sentiment imbalance, loaded language, and structural bias.
Continuous Improvement
User feedback and expert review help us continuously refine our algorithms and guidelines.
def check_question_neutrality(question: str) -> Score:
"""
Multi-model consensus check for bias.
Returns neutrality score 0-100.
"""
scores = []
# Check sentiment balance
sentiment = analyze_sentiment(question)
scores.append(sentiment.neutrality)
# Check for loaded language
loaded = detect_loaded_words(question)
scores.append(100 - loaded.severity)
# Check answer option balance
balance = check_option_balance(question)
scores.append(balance.score)
# Require consensus above threshold
avg_score = sum(scores) / len(scores)
if avg_score < NEUTRALITY_THRESHOLD:
return Score(passed=False, value=avg_score)
return Score(passed=True, value=avg_score)Full Transparency
Every poll on TruePulse includes links to source articles, AI reasoning explanations, and methodology details. We believe you should be able to verify our work.
Frequently Asked Questions
How do you ensure questions are truly unbiased?
We use multiple AI models that must reach consensus on neutrality, automated bias detection algorithms, and human review for edge cases. Questions that fail any check are revised or rejected.
What news sources do you use?
We aggregate from 200+ sources across the political spectrum, weighted equally between left-leaning, center, and right-leaning outlets as rated by independent media bias organizations.
How do you prevent vote manipulation?
Multi-factor verification, device fingerprinting, behavioral analysis, and rate limiting ensure one-person-one-vote integrity while preserving voter privacy.
Can I see the raw data?
Aggregated results are available under Creative Commons license. Raw vote data is never shared to protect individual privacy, but we publish statistical methodology reports.
How often are new polls generated?
New polls are generated hourly based on breaking news and trending topics. Each poll runs for a configurable duration (default: 1 hour) to capture timely public opinion.
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