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- The debate over journalists becoming brands (and who gets to be a brand) PLUS the best machine-learning algorithms for your AI-powered projects
The debate over journalists becoming brands (and who gets to be a brand) PLUS the best machine-learning algorithms for your AI-powered projects
Most of the media, even media analysis, is focused on Ukraine right now, and there are a couple of interesting pieces that caught my eye. Ukrainian independent media are using NFT to try to raise a tidy sum to support their efforts. Having worked in media training and development in Moldova, Georgia and Russia - but never making it to Ukraine - I know the pressures that news organisations are working under there.
However, that wasn't the only discussion in media circles though. Elizabeth Spiers highlighted a fractious debate about whether journalists need to be brands. I would actually reframe the question because it's not about whether journalists need to be brands or even this as a new phenomenon, as she points out. It's not even about brands so much as stars. Broadcast media has long been a star system, where a handful of on-air talent earns a lot more and has a bit more clout and autonomy.
I think this is really about who gets to be stars and how they get to be stars. In the past, stars were made. There wasn't a way to become a star unless the company made you one, largely through the beat you covered and if editorial management deemed you could be a star. With the rise of social media going back to blogging, even before the platforms, a person could take ownership of their own career trajectory. I know because I used blogs to raise my profile back in the naughties, largely as a media watcher.
I find all of this to and fro a bit precious, always have. I also think that these questions about whether a journalist is attention-seeking obscure larger issues in journalism about equity, management issues and in the digital era the cost as well as the benefits of putting yourself out there, especially if you're a woman.
PLUS Spotify's strategy to make podcasts profitable and also a good list of machine learning algorithms for media folks dabbling in AI.
This week’s intra-mural media kerfluffle revolves around backlash to the idea that journalists need to be brands themselves — apart from the institutions they work for. It was precipitated by an…
“Sounds like a well-trained liar”: Journalists lose some credibility by calling themselves “storytellers” | Nieman Journalism Lab — www.niemanlab.org
A survey in the U.S. found the public associates "storytellers" with liars and making things up. Probably not what you were going for with your Twitter bio.
“In a world of cultural warriors, playing it down the middle is a journalistic imperative but also a huge commercial opportunity” | Reuters Institute for the Study of Journalism — reutersinstitute.politics.ox.ac.uk
Reuters editor-in-chief Alessandra Galloni speaks about war coverage, journalism and impartiality ahead of the 2022 Reuters Memorial Lecture, which she'll deliver on 7 March.
In February 2021, Spotify announced two more acquisitions in the podcasting business: Podsights, an advertising measurement tool, and Chartable, an analytics pl
Covering thought leadership in journalism
Press Gazette has been reporting on British journalism without fear or favour since 1965. Our mission is to provide a news and information service which helps the UK journalism.
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in certain cases 70 years old. Some might contend that many of these older methods fall into the camp of ‘statistical analysis’ rather than machine learning, and prefer to date […]