Jul 1, 2024
Detection of potentially deceptive attitudes using expression style analysis
Roland Pihlakas
Summary
My work on this hackathon consists of two parts:
1) As a sanity check, verifying the deception execution capability of GPT4. The conclusion is “definitely yes”. I provide a few arguments about when that is a useful functionality.
2) Experimenting with recognising potential deception by using an LLM-based text analysis algorithm to highlight certain manipulative expression styles sometimes present in the deceptive responses. For that task I pre-selected a small subset of input data consisting only of entries containing responses with elements of psychological influence. The results show that LLM-based text analysis is able to detect different manipulative styles in responses, or alternatively, attitudes leading to deception in case of internal thoughts.
Cite this work:
@misc {
title={
Detection of potentially deceptive attitudes using expression style analysis
},
author={
Roland Pihlakas
},
date={
7/1/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
