47 citations · 80 across the 5 of their papers we have counts for
3 papers · 1 filter
The Collective Turing Test: Large Language Models Can Generate Realistic Multi-User Discussions
Azza Bouleimen, Giordano De Marzo, Taehee Kim +5
Large Language Models (LLMs) offer new avenues to simulate online communities and social media. Potential applications range from testing the design of content recommendation algor…
LEIA: Linguistic Embeddings for the Identification of Affect
Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler +3
The wealth of text data generated by social media has enabled new kinds of analysis of emotions with language models. These models are often trained on small and costly datasets of…
Detecting potentially harmful and protective suicide-related content on twitter: A machine learning approach
Hannah Metzler, Hubert Baginski, Thomas Niederkrotenthaler +1
Research shows that exposure to suicide-related news media content is associated with suicide rates, with some content characteristics likely having harmful and others potentially…