u/improvedataquality

I recently reached out for guidance on webinar topics related to survey fraud, and I received an overwhelming response from both academic and market researchers. Here is the original post: https://www.reddit.com/r/Marketresearch/comments/1rr27st/comment/o9wrwsl/

A few things really stood out, but one in particular was how often fraud is treated as a single, uniform issue. In reality, it takes many different forms, and each one creates different risks for your data.

I put together a short video that walks through the different types of fraud and how they show up in surveys. You can access the video here: https://www.youtube.com/watch?v=4w5bbl4ZGYI&t=17s

I am hoping to keep this conversation going with the community, and I am planning to put together a webinar in the near future. I will share more details as that comes together.

I am an academic researcher studying survey fraud in online research, particularly how AI agents and bots complete surveys and how effective existing detection methods (e.g., attention checks, open-ended questions) are at identifying them.

As part of this work, I have been running experiments using AI agents such as Manus, Claude, and Google Mariner, as well as AI-enabled browsers like OpenAI Atlas and Perplexity Comet. The goal is to understand how AI systems behave in surveys compared to humans and to develop better ways to detect AI-generated responses.

There seems to be growing concern about AI agents completing surveys and contaminating research data, especially in online panels and crowdsourced samples.

I am considering hosting a webinar (time permitting) to share findings and practical implications for researchers, including:

How well common detection methods work against AI
Behavioral differences between human respondents and AI agents
Emerging risks from AI-powered browsing agents
Potential new detection strategies

Questions for you: Would there be interest in a webinar on this topic? If so, what questions or topics would you most want covered?

My takeaways from survey fraud conversations

Possible webinar on AI survey fraud. What questions should it cover?