Detection of potentially deceptive attitudes using expression style analysis

Roland Pihlakas

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.

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Cite this work

@misc {

title={

@misc {

},

author={

Roland Pihlakas

},

date={

7/1/24

},

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.