From fake questionnaire submissions to deepfake respondent identities, AI fraud is threatening the authenticity of data and the reliability of research. As a company dedicated to market research and online survey services, GNL Research understands the critical importance of data quality. To address this, we have developed the ISWEA (Intelligent Survey Fraud Prevention Platform), a comprehensive solution designed to combat AI fraud and ensure the accuracy and credibility of data.

Fake Questionnaire Submissions

Fraudsters use AI-powered automation tools to complete questionnaires in bulk,

generating large volumes of fake data. This data may include random answers or deliberately designed misleading information,

severely compromising the accuracy of research results. For example, automated scripts can complete hundreds of surveys in seconds, leading to distorted data.

Deepfake Respondent Identities

Using AI-generated fake identities (such as fabricated social media profiles or virtual personas), fraudsters impersonate target audiences to participate in surveys.

This deepfake technology renders traditional identity verification methods ineffective, resulting in skewed samples and undermining the representativeness of the research.

Automated Survey Farming and Incentive Abuse

Some participants exploit AI tools to repeatedly register accounts and take part in surveys multiple times to claim rewards (e.g., cash, gift cards).

This behavior not only increases costs for businesses but also reduces data reliability and may even lead to biased research conclusions.

Data Manipulation and Bias

AI technology can be used to manipulate survey outcomes, such as generating fake reviews or ratings, which can influence consumer behavior studies or brand reputation analyses.

Such data manipulation not only undermines the integrity of research but may also misguide business decisions.

Building a Trusted Data Ecosystem

As AI technology continues to evolve, GNL Research will keep investing in technological innovation to further enhance the functionality and performance of the ISWEA platform.

We are committed to working collaboratively with clients, partners, and industry organizations to build a more trusted data ecosystem. In the future, we will.

Advance Technological Development: Develop more sophisticated AI anti-fraud tools to counter increasingly complex fraudulent tactics.

Strengthen Industry Collaboration: Partner with peer companies, technology firms, and academic institutions to share anti-fraud technologies and best practices.

Enhance Client Education: Help clients understand the risks of AI fraud and the measures to prevent it, working together to safeguard data quality.