Many computational social science projects examine online discourse surrounding a specific trending topic. These works often involve the acquisition of large-scale corpora relevant to the event in question to analyze aspects of the response to the event. Keyword searches present a precision-recall trade-off and crowd-sourced annotations, while effective, are costly. This work aims to enable automatic and accurate ad-hoc retrieval of comments discussing a trending topic from a large corpus, using only a handful of seed news articles.
@article{arxiv.2001.03303,
title = {Linking Social Media Posts to News with Siamese Transformers},
author = {Jacob Danovitch},
journal= {arXiv preprint arXiv:2001.03303},
year = {2020}
}