Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
Vuk Vukovi\'c, Akhil Arora, Huan-Cheng Chang, Andreas Spitz, and, Robert West

TL;DR
This paper introduces a web interface for exploring Quotebank, a large publicly available corpus of attributed news quotes, facilitating research and analysis of information propagation in media.
Contribution
The paper presents a user-friendly web interface for accessing and exploring the extensive Quotebank quote corpus, enhancing accessibility for researchers and journalists.
Findings
Enables efficient search and exploration of quote data
Supports analysis of quote attribution and propagation
Improves accessibility of large quote datasets
Abstract
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news. Consequently, quotes play a central role in the conception, reception, and analysis of news stories. Since quotes provide a more direct window into a speaker's mind than regular reporting, they are a valuable resource for journalists and researchers alike. While substantial research efforts have been devoted to methods for the automated extraction of quotes from news and their attribution to speakers, few comprehensive corpora of attributed quotes from contemporary sources are available to the public. Here, we present an adaptive web interface for searching Quotebank, a massive collection of quotes from the news, which we make available at https://quotebank.dlab.tools.
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