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

Records: 5000
Size: 0.4GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-04

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.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
claim_text	string	The original comparative claim in the social media advertisement that is to be checked.
risk_flags	string	Potential risks identified in the claim, such as absolute wording, missing time limits, incomparable evidence, or incomplete pricing conditions.
is_supported	boolean	A binary support judgment inferred from the evidence and qualifying conditions; true only when the claim as a whole is sufficiently supported.
claim_category	string	The normalized type assigned to the ad claim based on its content.
evidence_basis	string	A description of the research, statistics, pricing information, market reports, test results, or other evidence used to support or challenge the claim.
fact_check_label	string	The original fact-check label indicating whether the ad claim is supported by the evidence.
comparison_target	string	The competitor, brand, product, or service being compared in the ad claim.
normalized_relation	string	A normalized description of the relationship between the primary brand and the comparison target, extracted from the ad claim.
comparison_dimension	string	The dimension addressed by the claim, such as market ranking, performance, price, product capability, or service quality.
condition_consistency	string	Whether the claim's scope aligns with the time, location, sample, or scenario covered by the evidence.
qualifying_conditions	string	Time, location, sample, usage scenario, product version, or other limits that affect the scope in which the claim may hold.
evidence_support_level	string	The strength of support inferred from the evidence basis and qualifying conditions.
fact_check_explanation	string	An explanation of the verdict based on the comparison target, comparison dimension, qualifying conditions, and evidence basis.

Trust

Compliance Statement

Authorization Type

Proprietary - Commercial AI Training License (No Redistribution)

Commercial Use

Requires exclusive subscription or authorization contract (monthly or per-invocation charging)

Privacy and Anonymization

No PII, no real company names, simulated scenarios follow industry standards

Compliance System

Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

FAQ

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?dataset_scene_cate_type=9},
  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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