Science and technology journalists today face challenges in finding
newsworthy leads due to increased workloads, reduced resources, and expanding
scientific publishing ecosystems. Given this context, we explore computational
methods to aid these journalists' news discovery in terms of time-efficiency
and agency. In particular, we prototyped three computational information
subsidies into an interactive tool that we used as a probe to better understand
how such a tool may offer utility or more broadly shape the practices of
professional science journalists. Our findings highlight central considerations
around science journalists' agency, context, and responsibilities that such
tools can influence and could account for in design. Based on this, we suggest
design opportunities for greater and longer-term user agency; incorporating
contextual, personal and collaborative notions of newsworthiness; and
leveraging flexible interfaces and generative models. Overall, our findings
contribute a richer view of the sociotechnical system around computational news
discovery tools, and suggest ways to improve such tools to better support the
practices of science journalists.

科技新闻记者面临着工作量增加、资源减少和科学出版生态系统扩大等方面的挑战。在这种背景下，我们探索了计算方法来帮助记者在时间效率和自主性方面发现新闻，并通过一个交互工具进行了原型设计来更好地理解这种工具可能如何提供效益或在更广泛的范围内塑造专业科技新闻记者的实践。我们的研究结果突出了科技新闻记者自主权、背景和责任等核心问题，这些工具可以影响并在设计中加以考虑。基于此，我们提出了增加和更长期用户自主权的设计机会；结合上下文、个人和协作性的新闻价值观念；以及利用灵活的界面和生成模型的方法。总体而言，我们的研究结果为计算新闻发现工具的社会技术系统提供了更丰富的视角，并建议改进这些工具以更好地支持科技新闻记者的实践。