The bot, which analyzes play calling by NFL coaches in pressure situations, now factors in team strength and the increasing accuracy of kickers. It’s also now open source.
“As I went through these articles and came across a text quote, I kept thinking, ‘Why can’t I just click on it and see the corresponding part of the video and get the full experience of how they said it?’”
The open-source tool lets reporters contribute contacts to a centralized newsroom collection of sources — but it can also be used to build larger reader-facing data products.
What separates the successful innovation projects from their peers? Preparing for resistance, being agile about audience, and getting the user experience right.
There’s no easy fix for comments, which is why Knight’s spending $4 million on software they hope can fit any newsroom’s needs: “It should be a bunch of parts that you can assemble and reassemble.”
O'Donovan, Caroline. "Graph your readers’ sentiment with this new tool." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 17 Apr. 2014. Web. 19 Oct. 2024.
APA
O'Donovan, C. (2014, Apr. 17). Graph your readers’ sentiment with this new tool. Nieman Journalism Lab. Retrieved October 19, 2024, from https://www.niemanlab.org/2014/04/graph-your-readers-sentiment-with-this-new-tool/
Chicago
O'Donovan, Caroline. "Graph your readers’ sentiment with this new tool." Nieman Journalism Lab. Last modified April 17, 2014. Accessed October 19, 2024. https://www.niemanlab.org/2014/04/graph-your-readers-sentiment-with-this-new-tool/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2014/04/graph-your-readers-sentiment-with-this-new-tool/
| title = Graph your readers’ sentiment with this new tool
| last = O'Donovan
| first = Caroline
| work = [[Nieman Journalism Lab]]
| date = 17 April 2014
| accessdate = 19 October 2024
| ref = {{harvid|O'Donovan|2014}}
}}
