Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data

Autor:	Ivanov, Petar, Koychev, Ivan, Hardalov, Momchil, Nakov, Preslav
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Information Retrieval Computer Science - Machine Learning Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing 68T50 F.2.2 I.2.7
Zdroj:	ICASSP 2024
Druh dokumentu:	Working Paper
Popis:	Developing tools to automatically detect check-worthy claims in political debates and speeches can greatly help moderators of debates, journalists, and fact-checkers. While previous work on this problem has focused exclusively on the text modality, here we explore the utility of the audio modality as an additional input. We create a new multimodal dataset (text and audio in English) containing 48 hours of speech from past political debates in the USA. We then experimentally demonstrate that, in the case of multiple speakers, adding the audio modality yields sizable improvements over using the text modality alone; moreover, an audio-only model could outperform a text-only one for a single speaker. With the aim to enable future research, we make all our data and code publicly available at https://github.com/petar-iv/audio-checkworthiness-detection. Comment: Check-Worthiness, Fact-Checking, Fake News, Misinformation, Disinformation, Political Debates, Multimodality
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.05535 Zobrazit plný text záznamu View this record from Arxiv