ArticleBehavior research methods2025
Samply Stream API: The AI-enhanced method for real-time event data streaming.
Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- AI-supported real-time news evaluation reveals effects of time constraint on misinformation discernment.Scientific reports · 2026Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This manuscript introduces a novel method for conducting behavioral and social research by streaming real-time information to participants and manipulating content for experimental purposes via AI. We present an extension of the Samply software, which facilitates the integration of event-related data with mobile surveys and experiments. To assess the feasibility of this method, we conducted an experiment where news headlines were modified by a Chat-GPT algorithm and streamed to participants via the Samply Stream API and mobile push notifications. Feedback from participants indicated that most did not experience technical problems. There was no significant difference in readability across original, paraphrased, and misinformation-injected news conditions, with only 1.2% of all news items reported as unreadable. Participants reported significantly less familiarity with misinformation-injected news (84% unfamiliarity) compared to original and paraphrased news (73% unfamiliarity), suggesting successful manipulation of information without compromising readability. Dropout and non-response rates were comparable to those in other experience sampling studies. The streaming method offers significant potential for various applications, including public opinion research, healthcare, marketing, and environmental monitoring. By enabling the real-time collection of contextually relevant data, this method has the potential to enhance the external validity of behavioral research and provides a powerful tool for studying human behavior in naturalistic settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.