It’s always difficult to get publishers to agree to things like this, so if you have any comments or feedback that I can use to make a similar case to publishers in future, please let me know in the comments.
The latest in my series of FAQ posts comes from a current MA Online Journalism student, who is writing an article for a German publication.
How has the use of user-generated content from social media changed over the last years in the UK?
The use of UGC from social media has changed enormously in the UK in the last decade. Obviously many of the platforms didn’t even exist a decade ago, so we’ve moved from quoting emails to taking screenshots, to a situation now where it’s common to embed live social media content which users can interact with from the article itself – whether that’s to share, like, follow, or respond. Continue reading →
The latest in my series of FAQ posts comes from the National University of Sciences & Technology (NUST) in Pakistan. As always, I’m publishing my answers to their questions here in case it’s of use to anyone else.
Q. What would you say to convince journalists — especially journalists working in developing countries where even the acquisition of public records is often a tedious task — about the importance of data journalism?
If you believe that journalism has a duty to be factual, accurate, and to engage an audience in subjects which have a clear public and civic importance, then data journalism is going to be very important to your work. Continue reading →
Because he sends me an email every December, Nic Newmanhas a tag all of his own on this blog. So as this year’s email lands in my inbox here’s my annual reply around what I’ve noticed in the last 12 months — along with some inevitably doomed predictions of what might happen in the next year…
Surprising in 2017: horizontal storytelling and Facebook disappointments
This week I’m rounding off the first semester of classes on the new MA in Data Journalism with a session on artificial intelligence (AI) and machine learning. Machine learning is a subset of AI — and an area which holds enormous potential for journalism, both as a tool and as a subject for journalistic scrutiny.
So I thought I would share part of the class here, showing some examples of how the 3 types of machine learning — supervised, unsupervised, and reinforcement — have already been used for journalistic purposes, and using those to explain what those are along the way. Continue reading →