RJI news
Voice delivered news: Tips and Tools
5 tips to get started integrating your news content with voice activated devices
Challenge Accepted! Expandable audio journalism lets listeners take control
What if people could control the way an audio story plays out while listening to it? Missouri School of Journalism students Slone Salerno, Vivian Wang, Elliot Bauman and Sarai Vega worked with RJI Fellow Michael Epstein to find out.
Newsroom Notes: The more things change, the more they stay the same?
When it comes to the global pandemic we find ourselves in, are you tired of hearing the quote attributed to Winston Churchill? “Never waste a good crisis.”
Newsrooms gain support on innovative work during COVID-19 with RJI Student Innovation Fellowships
The coronavirus pandemic has presented numerous challenges to newsroom of all sizes. RJI hopes to do its part to keep moving forward innovation and new ideas with a summer version of its RJI Student Innovation Fellowships.
Voice delivered news: Remy Becher at the Economist
Q&A on voice activated news with Remy Becher, Vice President for Product at the Economist
Challenge Accepted! How can a Phoenix TV station better engage with 18- to 24-year-olds?
Doesn’t every news organization want to engage a younger audience? Annie Le, Kyle McCubbin, Sidney Steele and Jacqueline Lemp teamed with 12 News, based in Phoenix, to better understand their younger audience base.
Voice delivered news: Innovation skill
Integrating content with voice assistants is easier than ever
Entrepreneurship and Media of the Future winner creates online learning platform for journalists
A University of Missouri student team, who came up with the idea to teach different journalistic skills through an online subscription-based learning platform, won the 11th annual Entrepreneurship and Media of the Future Symposium competition.
This algorithm is a photo editor for 2 decades of archived pictures
Edward McCain and Sean Goggins have an idea to implement a software assistant to create a set of filters that could identify images that won’t ever get used from those most likely to be published.