AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Deep learning (DL) models for natural language processing (NLP) tasks often handle
private data, demanding protection against breaches and disclosures. Data protection laws …

Large language models (LLMs) can generate personas based on prompts that describe the
target user group. To understand what kind of personas LLMs generate, we investigate the …

AI-based code generators are an emerging solution for automatically writing programs
starting from descriptions in natural language, by using deep neural networks (Neural …

The purpose of this study is to expand the stimulus‒organism‒response model to explore
the impact of short video users' persona perception on their purchase intention on short …

Data-driven personas are a significant advancement in the fields of human-centered
informatics and human-computer interaction. Data-driven personas enhance user …

Predicting users' interests on social networks is gaining attention due to its potential to cater
customized information and services to the end users. Although previous works have …

In recent years, people have preferred interacting on social media instead of physical
meetings. Researchers have explored social media text data to predict user personality …

Human personality is significantly represented by those words which he/she uses in his/her
speech or writing. As a consequence of spreading the information infrastructures …

Purpose The “what is beautiful is good”(WIBIG) effect implies that observers tend to perceive
physically attractive people in a positive light. The authors investigate how the WIBIG effect …