Related Experiment Video
Updated: Oct 3, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Scaling up interactive argumentation by providing counterarguments with a chatbot
Sacha Altay1, Marlène Schwartz2, Anne-Sophie Hacquin2
1Institut Jean Nicod, Département d'études cognitives, ENS, EHESS, PSL University, CNRS, Paris, France. sacha.altay@gmail.com.
Abstract:
Discussion is more convincing than standard, unidirectional messaging, but its interactive nature makes it difficult to scale up. We created a chatbot to emulate the most important traits of discussion. A simple argument pointing out the existence of a scientific consensus on the safety of genetically modified organisms (GMOs) already led to more positive attitudes towards GMOs, compared with a control message. Providing participants with good arguments rebutting the most common counterarguments against GMOs led to much more positive attitudes towards GMOs, whether the participants could immediately see all the arguments or could select the most relevant arguments in a chatbot. Participants holding the most negative attitudes displayed more attitude change in favour of GMOs. Participants updated their beliefs when presented with good arguments, but we found no evidence that an interactive chatbot proves more persuasive than a list of arguments and counterarguments.
Related Concept Videos
Agonism and Antagonism: Quantification
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
Persuasion Strategies
Machines: Problem Solving II
The Anchoring-and-Adjustment Heuristic
The Representativeness Heuristic
Critical Thinking II

