Persuasive Communication Systems: a machine learning approach to predict the effect of linguistic styles and persuasion techniques

Authors

Annye Braca, Technological University DublinFollow
Pierpaolo Dondio, Technological University DublinFollow

Document Type

Article

Disciplines

1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences

Publication Details

https://www.emerald.com/insight/content/doi/10.1108/JSIT-07-2022-0166/full/html

DOI 10.1108/JSIT-07-2022-0166

Abstract

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

DOI

https://doi.org/10.1108/JSIT-07-2022-0166

Recommended Citation

Braca, Annye and Dondio, Pierpaolo, "Persuasive Communication Systems: a machine learning approach to predict the effect of linguistic styles and persuasion techniques" (2023). Articles. 187.
https://arrow.tudublin.ie/scschcomart/187

Funder

Science Foundation Ireland (Grant 13/RC/2106) and the ADAPT Centre (www.adaptcentre.ie) at Technological University Dublin (www.tudublin.ie).

Creative Commons License

This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.