Public Service Chatbots: Automating Conversation with BBC News
Public Service Chatbots: Automating Conversation with BBC News
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公共服务聊天机器人：与 BBC 新闻自动对话
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Rhianne Jones
中科院分区：
文献类型：
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作者：
Bronwyn Jones;Rhianne Jones
随着用于新闻采集、生产和分发的越来越复杂的软件的发展，新闻任务的自动化正在增长。机器人是在现代新闻编辑室找到一席之地的一种算法技术，在新闻机构寻求利用对话形式的新闻吸引新受众的过程中，聊天机器人处于领先地位。人工智能（AI）和机器学习（ML）的最新进展推动了越来越多的机器自主实验，媒体对这对新闻业的程度和影响进行了许多夸张的报道。看看英国最大的公共广播公司面向观众的机器人的现场试验，我们发现了一个明显更受限制的画面。到目前为止，BBC的新闻机器人都很基础，不使用机器学习，很少被整合到新闻制作中。该组织正在为开发更具互动性的新闻格式奠定基础，这些新闻格式具有越来越多的对话语气和个性化的地址模式，作为提高个性化战略的一部分，这可能涉及到越来越高的ML水平。在此过程中，机器人正在重新配置工作实践和基础设施，提出新的编辑和技术挑战，并重新定义与受众的关系。我们将讨论这对公共服务媒体的影响。
Abstract Automation of journalistic tasks is growing with the development of increasingly sophisticated software for newsgathering, production, and distribution. Bots are one form of algorithmic technology that has found a place in the modern newsroom, with chatbots leading the way as news organisations seek to attract new audiences using conversational forms of journalism. Recent advances in artificial intelligence (AI) and machine learning (ML) have fuelled increasing experimentation with machine autonomy and there has been much hyperbole in the press about the extent and impact of this on journalism. Looking at on-the-ground trials in audience-facing bots at the UK’s largest public broadcaster, we find a significantly more restricted picture. News bots at The BBC to-date have been basic, do not use ML, and have rarely been integrated into news production. The organisation is laying groundwork for development of more interactive news formats with an increasingly conversational tone and individual mode of address as part of a strategy for increased personalisation, which is likely to involve growing levels of ML. In the process, bots are reconfiguring working practices and infrastructure, posing new editorial and technical challenges, and redefining relationships with audiences. We discuss the implications of this for public service media.