AI Tools Failed to Boost Petition Success Rates
A study of 1.5 million petitions showed that AI-assisted writing led to fewer comments and less originality.
Updated on Sept. 30, 2026 in Artificial Intelligence
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Cornell researchers found that integrating AI writing tools into Change.org petitions between October and December 2023 did not improve overall success rates. The study, published on Sept. 30, 2026, indicated that AI-assisted petitions actually struggled to maintain reader engagement.
Why it matters
The findings suggest that AI-generated content may lack the crucial specificity and human detail required to motivate public support. Researchers hypothesized that this reduction in quality and the sense of authenticity potentially discouraged users from interacting with the petitions.
The analysis measured changes in lexical diversity, readability, and length across 1.5 million petitions. Researchers observed that AI-assisted petitions were consistently longer but displayed increased language homogeneity.
The players
Cornell University
This private Ivy League research university served as the home institution for the team that conducted the study on petition outcomes.
Change.org
This is a global petition platform where the 1.5 million entries were analyzed for the study.
The details
By utilizing a staggered rollout in the U.S., Great Britain, Canada, and Australia, the study team compared petition performance before and after AI tool implementation. The team noted that Australia received the tools 11 weeks later than the other participating countries, allowing for precise comparative data measurement.
Timeline
The AI tool rollout and data collection occurred from Oct. 2, 2023, to Dec. 15, 2023.
The research study was published in Nature Human Behaviour on Sept. 30, 2026.
The Tech Race
This study contributes to the growing body of work exploring the limitations of generative AI in high-stakes social environments. It challenges the assumption that AI assistance inherently improves written communication efficacy in large-scale online advocacy.
Users relying on AI to draft public messages should be aware that automated content may be perceived as less authentic or specific. This finding suggests that human-authored content remains more effective at driving engagement in social and political advocacy.
The takeaway
Advocates seeking to mobilize support should prioritize manual, detailed writing to maintain authenticity. Relying solely on AI to draft petitions may inadvertently reduce the likelihood of attracting community feedback.
Further reading
Explore more analysis regarding how automated systems influence human behavior in the Artificial Intelligence section.
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Do you believe using AI to draft messages makes your communication more or less effective?
