As well as edited copy from ARG-tech, the page also has links through to the ARG-tech developed Test Your Argument application hosted on BBC Taster.
The Centre for Argument Technology (ARG-tech) at the University of Dundee has signed an agreement with the BBC to deliver a suite of argument technology to be piloted in conjunction with BBC programming: a special edition of the Moral Maze on BBC Radio 4 broadcast at 8pm on 11 Oct 2017 and repeated on 14 Oct; a one-off TV debate hosted by Anne Robinson and broadcast at 9pm on Monday 16 Oct on BBC2, and a further episode of the Moral Maze from the BBC Archive, all tackling the issue of abortion on the occasion this month of the 50th anniversary of the Abortion Act in the UK.
Following a decade of collaboration between ARG-tech and BBC Radio 4′s Moral Maze, this new agreement will see funding of work to prepare three exciting new argument technology applications. First, a set of argument analytics to be published on the Moral Maze website will give audiences an insight into the debate, and a web page on BBC Radio 4 will use them to offer tips on how to improve their own arguments. We will also be livetweeting some of the analytics as the programmes are aired. Second, BBC Taster will host ‘Test Your Argument’ for users to try their hand at building better arguments. And third, ARG-tech will host ‘Debater,’ a system that allows users to take on the role of the chair of the Moral Maze and recreate their own new debates. For more information, check out an article commissioned by the BBC as a part of their Expert Network (at www.bbc.co.uk/news/technology-41010848) and ARG-tech’s own site at www.arg.tech.
Chris Reed has been commissioned by the BBC to write an article on Argument Technology, which appears on the BBC News website today. The article forms a part of the BBC’s Expert Network, whereby background and analysis are solicited from universities, think-tanks and other organisations that can offer context and depth to content across the BBC. The piece is aimed at a general audience and offers a unique opportunity to the field for raising the profile of computational models of argument, argument mining and argument technology in general.