Choose Your Own Mad Libs (or, how you can plug data into automated stories and free up lots of reporting time)
Recommended on the NPA Slack
The article discusses how to use tools like MadLibs and automated data to make news articles more efficient. By creating templates with placeholder keywords, journalists can use algorithms to fill in the data and create personalized stories. The author argues that this approach can be especially useful for data-driven stories or articles with repetitive structures. They caution, however, that it is important for journalists to maintain narrative coherence and ensure the algorithm is transparent with readers.
Choose Your Own Mad Libs (or, how you can plug data into automated stories and free up lots of reporting time)
Recommended on the NPA Slack
The article discusses how to use tools like MadLibs and automated data to make news articles more efficient. By creating templates with placeholder keywords, journalists can use algorithms to fill in the data and create personalized stories. The author argues that this approach can be especially useful for data-driven stories or articles with repetitive structures. They caution, however, that it is important for journalists to maintain narrative coherence and ensure the algorithm is transparent with readers.
