Mobiusi

Social Media Comparative Advertising Fact-Checking Dataset

#comparative claim verification #evidence-based reasoning #qualification consistency checking #comparative advertising compliance #social media claim verification #advertising evidence assessment
  • 5000
  • 0.4GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-19

AI Analysis & Value Prop

This synthetic text dataset covers comparative claims in social media ads, including competitor comparisons, market rankings, performance advantages, and price advantages. Each record includes the claim, comparison target and dimension, qualifying conditions, evidence basis, fact-check label, and supporting analysis. It supports fact-checking model training and evaluation, advertising review, and marketing claim risk analysis.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
claim_textstringThe original comparative claim in the social media advertisement that is to be checked.
risk_flagsstringPotential risks identified in the claim, such as absolute wording, missing time limits, incomparable evidence, or incomplete pricing conditions.
is_supportedbooleanA binary support judgment inferred from the evidence and qualifying conditions; true only when the claim as a whole is sufficiently supported.
claim_categorystringThe normalized type assigned to the ad claim based on its content.
evidence_basisstringA description of the research, statistics, pricing information, market reports, test results, or other evidence used to support or challenge the claim.
fact_check_labelstringThe original fact-check label indicating whether the ad claim is supported by the evidence.
comparison_targetstringThe competitor, brand, product, or service being compared in the ad claim.
normalized_relationstringA normalized description of the relationship between the primary brand and the comparison target, extracted from the ad claim.
comparison_dimensionstringThe dimension addressed by the claim, such as market ranking, performance, price, product capability, or service quality.
condition_consistencystringWhether the claim's scope aligns with the time, location, sample, or scenario covered by the evidence.
qualifying_conditionsstringTime, location, sample, usage scenario, product version, or other limits that affect the scope in which the claim may hold.
evidence_support_levelstringThe strength of support inferred from the evidence basis and qualifying conditions.
fact_check_explanationstringAn explanation of the verdict based on the comparison target, comparison dimension, qualifying conditions, and evidence basis.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?
The dataset covers synthetic comparative social media ad claims and includes comparison targets, dimensions, qualifying conditions, evidence bases, fact-check labels, and explanations. Structured fields also describe claim categories, evidence support levels, and potential risks.
Does it contain real ads or externally verified evidence?
The dataset is designed as synthetic text to represent comparative advertising fact-checking scenarios. Evidence bases and labels are part of the records and should not be assumed to constitute external verification of claims about real brands, products, or markets.
Which training and evaluation tasks does it support?
It can support fact verification, evidence grounding, ad claim classification, comparison relation extraction, and qualifying-condition consistency checks. It can also be used to evaluate whether models can explain verdicts and identify advertising risks.
How can I access the data, and what are the licensing terms?
Check the dataset product page for available access methods, delivery formats, and license terms. Use and redistribution must follow the license shown there; confirm that the permitted scope covers any commercial or other specialized use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Social Media Comparative Advertising Fact-Checking Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/55386be1996247fa91d4ee68e5fa60ef},
  urldate={2026-10-14},
  keywords={comparative advertising dataset,advertising fact checking,social media ad review,ad claim verification,evidence grounding data,marketing compliance,synthetic text dataset,fact verification training},
  version={1.0}
}

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