51 citations · 51 across the 5 of their papers we have counts for
8 papers
Perceived Trust and Transparency in AI-Altered vs. Human-Written LinkedIn Posts
Thomas Christian Joos, Azza Bouleimen, Anikó Hannák +1
People increasingly draft a social media post themselves and then let an AI model refine it (AI-altered), a common but understudied middle case between fully human-written and full…
AI evaluators favor job applications written by certain AI models, independent of candidate quality
Nicolò Pagan, Michael Andreas Ebling, Stefania Ionescu +1
Job applicants increasingly use large language models (LLMs) to write cover letters, while employers deploy LLMs to screen them. In this all-AI setting, we ask whether the \emph{ch…
Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations
Azza Bouleimen, Nicolò Pagan, Anikó Hannák
Generative agent-based models (GABMs) are increasingly used to simulate social media dynamics, including misinformation spread. For such social simulations to be valid proxies of h…
Computational Turing Test Reveals Systematic Differences Between Human and AI Language
Nicolò Pagan, Petter Törnberg, Christopher A. Bail +2
Large language models (LLMs) are increasingly used in the social sciences to simulate human behavior, based on the assumption that they can generate realistic, human-like text. Yet…
Reduced AI Acceptance After the Generative AI Boom: Evidence From a Two-Wave Survey Study
Joachim Baumann, Aleksandra Urman, Ulrich Leicht-Deobald +3
The rapid adoption of generative artificial intelligence (GenAI) technologies has led many organizations to integrate AI into their products and services, often without considering…
The Order of Recommendation Matters: Structured Exploration for Improving the Fairness of Content Creators
Salima Jaoua, Nicolò Pagan, Anikó Hannák +1
Social media platforms provide millions of professional content creators with sustainable incomes. Their income is largely influenced by their number of views and followers, which…
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Stefania Ionescu, Yuhao Du, Kenneth Joseph +1
Two-sided matching markets have long existed to pair agents in the absence of regulated exchanges. A common example is school choice, where a matching mechanism uses student and sc…
Ride-share matching algorithms generate income inequality
Eszter Bokányi, Anikó Hannák
Despite the potential of online sharing economy platforms such as Uber, Lyft, or Foodora to democratize the labor market, these services are often accused of fostering unfair worki…