A Northwestern University joint initiative of Medill School of Journalism, Media, Integrated Marketing Communications and the Robert R. McCormick School of Engineering & Applied Science. Northwestern University joint initiative of Medill & McCormick School of Engineering.

Long a challenge, Snapchat delivers crowd-sourced storytelling

In the last few months, I cheered from the sidelines of the Macy’s Day Parade, I built a kite to fly in India, I strutted the streets of New York Fashion Week and I tailgated a football game in the dead of January. All from the comfort of my bed. How did I do it? Well, I watched these events unfold via Snapchat, an app I normally reserve for sending selfies to friends. I

Newsroom love stories start with collaboration and communication

This twice-weekly exchange has been going on since my first editor’s meeting two years ago when I first joined the editing team of North by Northwestern, Northwestern’s online student-run news magazine: “We’re going to do a story on the architecture on campus for this Sunday,” a section editor declares excitedly at the editorial meeting. “It’s going to be interactive. It’ll be so cool!” “That’s great,” a managing editor responds. “Have you talked to

Andrew Golis on launching This.cm and creating a social “magazine experience” on the web

Occasionally we’ll do a Q&A with an impressive maker or strategist from media and its fringes. Each person brings a unique perspective on journalism, publishing and technology. Catch up and/or follow the series here. Up until the end of last year, my daily news experience involved sifting through endless tweets and clickbait on Facebook. When I got an invite to This, a link-sharing social network that aims to “find and share the web’s

NICAR 2015: Machine learning lessons for journalists

Venn diagram of data science skills and fields

Machine learning is certainly not a new concept in journalism, but it seemed to enjoy plenty of prominence at NICAR this year — fantastic news for newbies to the field like me. I attended several sessions on it, both theoretical and technical, and a few key concepts came up repeatedly. Whether this year’s conference was your first exposure to machine learning, or you’re a seasoned pro, here are four takeaways worth reviewing: Machine

NICAR15: Finding business data outside of “business” datasets

If you want to uncover business news, never underestimate the power of looking at datasets that don’t look like traditional business datasets. Speaking in the “Investigating business with data” session at NICAR15, the Wall Street Journal’s Andrea Fuller and CNBC’s John Schoen provided a wealth of examples of stories written using not only traditional business datasets like the SEC’s Edgar and FINRA but also non-traditional business data sets such as Medicare.gov. Datasets like

NICAR 2015: Jack of all trades, master of none?

Participants in the NICAR conversation, "The 'hybrid reporter' identity crisis?" posted their official job titles and what they want their job titles to be.

Despite the fact that neither drinking nor networking (“You need to be more sure of yourself!” Alex Duner wailed to me after an awkward introduction to his former colleagues) is really my thing, I found myself at the bar of the Marriott Marquis, in a circle of journalists from across the nation. NICAR15 is not the time for a student journalist like me to hide in the comfort of her hotel room. “This