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Using computational tools to support journalists’ creativity
Journalism ( IF 2.7 ) Pub Date : 2021-04-21 , DOI: 10.1177/14648849211010582
Suzanne Franks 1 , Rebecca Wells 1 , Neil Maiden 1 , Konstantinos Zachos 1
Affiliation  

This paper presents work surrounding INJECT, a newsroom innovation offering digital tools to support journalists. Research showing increasing time and resource pressure on journalists has led to concerns about the demise of investigative reporting and the ability of today’s journalists to interrogate information adequately. Some digital innovations (e.g. tools facilitating robot journalism) have been viewed with suspicion by newsrooms. This paper reports on a research project that seeks to create an innovative tool to support the creative capabilities of time and resource poor journalists. The INJECT project used the advanced information discovery capabilities of digitisation to help journalists find new angles on stories and this paper analyses the extent to which such initiatives might harness digital innovation to benefit both the quality and range of reporting and thereby enhance creativity. It examines the potential of an information processing model of creativity derived from the INJECT tool to assist and support journalists, exploring the theoretical impact as well as the practical implications reported from the newsroom.



中文翻译:

使用计算工具来支持记者的创造力

本文介绍了围绕INJECT开展的工作,INJECT是一种新闻编辑室创新,提供支持记者的数字工具。研究表明,新闻记者的时间和资源压力越来越大,这引起了人们对调查报道的消亡以及当今新闻记者充分审讯信息的能力的担忧。新闻室已经怀疑了一些数字创新(例如,促进机器人新闻的工具)。本文报道了一个研究项目,该项目旨在创建一种创新工具来支持时间和资源匮乏的记者的创新能力。INJECT项目使用了数字化的高级信息发现功能来帮助记者找到新闻报道的新角度,并且本文分析了此类倡议可以在多大程度上利用数字创新来提高报道质量和范围,从而增强创造力。它研究了从INJECT工具衍生而来的创造力信息处理模型在协助和支持记者方面的潜力,并探讨了新闻编辑室的理论影响和实际影响。

更新日期:2021-04-21
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