13 citations · 22 across the 5 of their papers we have counts for
5 papers
Can Large Language Models Detect Verbal Indicators of Romantic Attraction?
Sandra C. Matz, Heinrich Peters, Moran Cerf +4
As artificial intelligence (AI) models become an integral part of everyday life, our interactions with them shift from purely functional exchanges to more relational experiences. F…
Large Language Models Can Infer Personality from Free-Form User Interactions
Heinrich Peters, Moran Cerf, Sandra C. Matz
This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatb…
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
Heinrich Peters, Joseph B. Bayer, Sandra C. Matz +3
The present paper introduces a novel approach to studying social media habits through predictive modeling of sequential smartphone user behaviors. While much of the literature on m…
Context-Aware Prediction of User Engagement on Online Social Platforms
Heinrich Peters, Yozen Liu, Francesco Barbieri +3
The success of online social platforms hinges on their ability to predict and understand user behavior at scale. Here, we present data suggesting that context-aware modeling approa…
Large Language Models Can Infer Psychological Dispositions of Social Media Users
Heinrich Peters, Sandra Matz
Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately in…