Monday 12 December 2016
Friday 4 November 2016
Saturday 24 September 2016
KEYNOTE: Do We Need a Bechdel Test for News? How Inclusiveness and Credibility Can Expand Coverage
From Online News Association
Around the world, news features women only 24 percent of the time, a data point indicative of journalism’s larger problem with inclusiveness in all forms of diversity, including race, ethnicity and sexual orientation. As tragic incidents in Orlando, Baton Rouge, Nice and Dallas have underscored, newsrooms on average lack diversity in sources, expert commentators and subjects -- and often that starts with the make-up of staff. Our innovative experts will provide case studies and concrete insights into challenges and successes of inclusivity, and share how technology, transparency, partnerships and editorial prioritization can fuel growth in both reach and impact.
Around the world, news features women only 24 percent of the time, a data point indicative of journalism’s larger problem with inclusiveness in all forms of diversity, including race, ethnicity and sexual orientation. As tragic incidents in Orlando, Baton Rouge, Nice and Dallas have underscored, newsrooms on average lack diversity in sources, expert commentators and subjects -- and often that starts with the make-up of staff. Our innovative experts will provide case studies and concrete insights into challenges and successes of inclusivity, and share how technology, transparency, partnerships and editorial prioritization can fuel growth in both reach and impact.
Your Media Business Will Not Be Saved
The problem and lots of stuff that are not the answer. Joshua Topolsky on Medium
Your problem is that you make shit. A lot of shit. Cheap shit. And no one cares about you or your cheap shit. And an increasingly aware, connected, and mutable audience is onto your cheap shit. They don’t want your cheap shit. They want the good shit. And they will go to find it somewhere. Hell, they’ll even pay for it.
The truth is that the best and most important things the media (let’s say specifically the news media) has ever made were not made to reach the most people — they were made to reach the right people. Because human beings exist, and we are not content consumption machines. What will save the media industry — or at least the part worth saving — is when we start making Real Things for people again, instead of programming for algorithms or New Things.
How to prepare for journalism jobs of the near-future
This is just a snapshot of the whole article - must read in more detail from here: Poynter.org
Data and algorithms investigations team: You can use algorithms to do things like calculate really large numbers or compress audio or produce thousands of automated news stories on a particular topic.
If you’re interested, Dartmouth has a good intro to algorithms class online.
Enhanced Reporter: reporters using artificial intelligence to help them discover trends or different angles of a story.
It may sound farfetched, but it’s the same technology that’s used in facial recognition software, automatic scheduling software and speech recognitio
this Stanford syllabus, and then supplementing with video lectures from MIT.
More reading: 4 Examples of AI’s Rise in Journalism (And What it Means for Journalists); My battle to prove I write better than an AI robot called ‘Emma’
Augmented reality producer: this CJR piece which details lots of examples, and then reading this Knight Foundation series on virtual and augmented reality storytelling
Bot developer: this excellent tutorial by Darius Kazemi if you’re interested in making your own.
How are they useful? Think of something you’d like to automate, or monitor, or do — and there’s likely a bot you can design to help you.
More reading: The New York Times has a 2016 Election bot; Automation in the Newsroom.
Platforms manager, data scientist: this Stanford stats class, along with some classes in data analysis and SQL — because you’ll likely be juggling lots of data and then crunching the numbers to make decisions for your newsroom. Reddit’s Data Science community is quite helpful, as is learning how to use Jupyter notebooks for data visualizations.
A Harvard professor studied 10 major media outlets and found a harsh reality about election coverage
10 major outlets studied
Each report was based on a detailed content analysis of the presidential election coverage on five television networks (ABC, CBS, CNN, Fox, and NBC) and in five leading newspapers (Los Angeles Times, The New York Times, The Wall Street Journal, The Washington Post, and USA Today).The analysis indicates that substantive policy issues have received only a small amount of attention in the 2016 election coverage.
But in the overall context of election coverage, issues have played second fiddle. They were at the forefront in the halls of the national conventions but not in the forefront of convention-period news coverage. Not a single policy proposal accounted for even 1% of Hillary Clinton's convention-period coverage, and collectively her policy stances accounted for a mere 4% of it.
Trump's policies got more attention — but not until after the Democratic convention ...
"Medialities" is the label political scientist Michael Robinson has given to such controversies. Journalists find them irresistible,
More here from The Conversation
What distracts us
The leading "mediality" of the 2016 campaign has been Clinton's emails. That and other news references to Clinton-related "scandals" accounted for 11% of her convention-period coverage.Policy issues, on the other hand, lack novelty.
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