What we’re about
We bring together data scientists and journalists to create timely and rigorous data journalism.
ANNOUNCEMENT: We are thrilled to share our new newsletter, please subscribe here, https://datajournalism.substack.com. If you missed the first edition, you can find it here: https://datajournalism.substack.com/p/covering-indian-elections-deadly. The second and latest edition is https://datajournalism.substack.com/p/what-makes-a-visualization-good-avoid
HIGHLIGHT: A fascinating meetup #19 on government-driven social media manipulation. Following the event, Data Journalism DC member Jingnan Huo talked about the meetup's presenter, Dr. Philip Howard--Director of the Oxford Internet Institute--and Samantha Bradshaw’s findings on NPR. Congrats and thank you, Jingnan! You can hear the NPR news segment here: https://soundcloud.com/flavius-mihaies/npr-news-07-21-2018-3am-et-jingnan-on-oxford-internet-institutes-new-research
WHO ARE WE?
We began as a way to connect the local participants in the Knight Center's Python for Data Journalists: Analyzing Money in Politics MOOC in June 2017 and continued as a community to get to know more people interested in data journalism, and now worldwide, and produce consequential data journalism that helps identify the scale of an issue of importance to our times or has the potential of influencing policy. To this end, the group will actively explore avenues for publishing project outcomes.
Stories we produce are published on Medium publication medium.com/datajournos
The group is open to anyone interested in data science, journalism, and public interest issues.
Upcoming events (1)See all
- DJDC#41 Using AI to customize & interactively generate news content (hybrid)National Press Club, Washington, DC
This is a hybrid (virtual and in person) event.
Our previous conversation explored how tools like chatGPT, Bard, and Bing can be used to find data and insights.
Part two will look at the stage when content is created and consumed from the data gathered.
Can the AI customize content to the news consumers, providing them with relevant factors that are conducive to their education level, needs, concerns, worldview, and other characteristics, such as their language of choice and style?
Can the AI interactively generate content for consumers requesting different levels of analysis and contextual information? Will the story become interactive in the same way data visualization has become interactive?
What are the benefits and harms? What is the impact of instructing the AI to provide information and story from a certain vantage point? What is the role of journalists in this content-creation model?
This is an open conversation. We encourage participants to send in advance to datajournalismdc[at]gmail.com use cases, experiences, topics, and questions they would like to share and discuss.
This is a hybrid event. In-person attendance capacity is limited. If you are attending virtually please email datajournalismdc[at]gmail.com and indicate that you are attending virtually to receive the call-in link. Questions? Email datajournalismdc[at]gmail.com
Featured photo: George Orwell in 1940 (BBC, Public domain, via Wikimedia Commons)