QT30: A Corpus of Argument and Conflict in Broadcast Debate

Broadcast political debate is a core pillar of democracy: it is the public's easiest access to opinions that shape policies and enables the general public to make informed choices. With QT30, we present the largest corpus of analysed dialogical argumentation ever created (19,842 utterances, 280,000 words) and also the largest corpus of analysed broadcast political debate to date, using 30 episodes of BBC's `Question Time' from 2020 and 2021. Question Time is the prime institution in UK broadcast political debate and features questions from the public on current political issues, which are responded to by a weekly panel of five figures of UK politics and society. QT30 is highly argumentative and combines language of well-versed political rhetoric with direct, often combative, justification-seeking of the general public. QT30 is annotated with Inference Anchoring Theory, a framework well-known in argument mining, which encodes the way arguments and conflicts are created and reacted to in dialogical settings. The resource is freely available at http://corpora.aifdb.org/qt30.

Automated summary

Broadcast political debate is crucial for democracy as it provides the general public with easy access to opinions that shape policies. QT30 is the largest corpus of analysed broadcast political debate, featuring 30 episodes of BBC's 'Question Time' from 2020 and 2021. The resource utilizes Inference Anchoring Theory to annotate the creation and reaction of arguments and conflicts in dialogical settings.