Faithful explanations of black-box nlp models using llm-generated counterfactuals

Y Gat, N Calderon, A Feder, A Chapanin… - arXiv preprint arXiv …, 2023 - arxiv.org
Causal explanations of the predictions of NLP systems are essential to ensure safety and
establish trust. Yet, existing methods often fall short of explaining model predictions …

Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning

A Kroon, K Welbers, D Trilling… - … Methods and Measures, 2024 - Taylor & Francis
The availability of individual-level digital trace data offers exciting new ways to study media
uses and effects based on the actual content that people encountered. In this article, we …

Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data

J Schelb, R Ulloa, A Spitz - arXiv preprint arXiv:2407.16516, 2024 - arxiv.org
Researchers in the political and social sciences often rely on classification models to
analyze trends in information consumption by examining browsing histories of millions of …

Hate speech detection using LSTM and explanation by LIME (local interpretable model-agnostic explanations)

RS Tiwari - … Intelligence Methods for Sentiment Analysis in Natural …, 2024 - Elsevier
Abstract Nowadays, Social Media has a very high impact on everyone's lives. Social media
platforms such as Twitter, Facebook, and Instagram are open platforms where people can …

[PDF][PDF] OPTED

This study explores different automated supervised techniques for multilingual and cross-
domain topic classification in the context of comparative politics research. There is a lack of …