Here are the facts
The research industry is evolving, shaped by online surveys, AI agents and now synthetic data. These tools offer speed, scale and efficiency — but alongside these strengths come new considerations for data integrity and respondent authenticity.
A broader industry perspective echoes this trend:
The proliferation of AI-powered bots and sophisticated fraudsters poses a significant threat to the integrity of scientific studies reliant on online surveys.
Growing bot sophistication is undermining online survey reliability, highlighting the industry’s need for improved fraud detection and validation tools.
Online surveys also play a major role in healthcare research — yet rising bot and AI activity has raised new questions about data reliability.
Online surveys are an increasingly common way to collect data from the public, with social media and financial incentives creating opportunities for fraudulent or automated (‘bot’) responses.
When recruitment is incentive-driven or openly accessible, automated or fraudulent responses can distort results and compromise the insights researchers rely on.
AI-powered bots in particular pose a growing challenge, as fraudulent responses become harder to detect.
The foundational assumption of survey research—that a coherent response is a human response—is no longer tenable.
Incentive-based online surveys can attract increasingly sophisticated fraud, affecting data quality and underscoring the need for stronger validation practices.
Across the literature, experts agree that fraud and inaccuracy are increasing in the “new voice” of research — online panels, AI agents and synthetic data.
But there is another path forward: one built on authentic human interaction.
By re-centring research on real conversations, organic voices and verifiable human insight, we can strengthen trust and elevate quality. CATI continues to play a vital role, bringing depth, clarity and certainty that complement today’s digital approaches.
Let real voices be heard again. Become the organic voice of research.
Let’s bring research back to genuine human dialogue and the rich insight it provides. By championing organic, validated responses, we can restore trust — becoming the organic voice of research through CATI.
Join the conversation: Do we need to speak to people to understand them?
For the love of methodology: why mixed-mode research matters
Mixed-mode methodologies are increasingly recognised as a smart, resilient way to gather high-quality insight. Ipsos observes that mixed-mode approaches are becoming more commonplace as the industry embraces new technologies to facilitate participation — letting researchers reach people through the mode that suits them best, with better population coverage and response rates, and greater efficiency in time and money.
Commercial research specialists echo these advantages. AMR + moweb highlight that blending telephone and online interviewing reduces error and strengthens confidence in respondent identity — “the telephone interviewers guarantee that the right person answers the questions” — and that offering a choice of channel reduces various types of bias within an optimised budget and timeframe.
Across the wider research landscape, the value of mixed-mode approaches continues to grow. The Journal of Survey Statistics & Methodology notes that adoption has risen rapidly due to both technological advances and the COVID-19 pandemic, as organisations seek more robust, adaptable designs that maintain data quality across changing conditions.
Taken together, these perspectives show why mixed-mode research has become a mainstream standard: it combines the assurance and depth of CATI with the scale and convenience of online methods — giving researchers more reliable samples, better reach and stronger overall data integrity.