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Twitter will (apparently) let publishers charge per article starting in May

Micropayments. Elon Musk thinks he’s got a “major win-win” for news publishers with…

After all, who would news companies rather trust their revenue to than the guy who calls them a “relentless hatestream”?

 

If you were wise enough to switch off from Twitter over the Bank Holiday weekend, you’ll now be feeling the shock/surprise/amusement we felt when Musk decided to reveal these plans on Saturday afternoon:

“Rolling out next month, this platform will allow media publishers to charge users on a per article basis with one click,” he explained. “This enables users who would not sign up for a monthly subscription to pay a higher per article price for when they want to read an occasional article. Should be a major win-win for both media orgs & the public.”

I mean, where do you even start here? Would you as a publisher try out something that Musk could cancel on a whim? When platforms like WordPress are out the door over the API changes? Not to mention Twitter doesn’t (yet) keep payment cards on file. Take the May launch with a bucket of salt, but what is really interesting here is why this is suddenly a priority.


Building a future-proof newsroom: 5 strategies you neglect at your peril

Building a future-proof newsroom: 5 strategies you neglect at your peril – The Fix

What are the areas you can’t ignore if you want to build a solid newsroom for the future? Emma Löfgren shares five insights from IJF2023.

 

How can newsrooms equip themselves to face the unknown? Here are five vital takeaways from more than a dozen global experts at the International Journalism Festival, helpfully compiled by Emma Löfgren. Prioritising audience needs is, unsurprisingly, top of the list.


The long and the short of it

The Long and the Short of It

Picasso and the “summarize” button.

 

One of the common use cases to come out of better generative AI tools is better summarising of articles. I’m sure many of you have plenty bookmarked, but don’t get round to reading half of them as deeply as you’d like. But as Troy Young speculates here, will this help us get smarter faster by cutting the filler, or are we at risk of missing nuance and changing what we deem worthy of our time?


Publishers see ad dollars flow to sustainability content after increasing climate coverage

Time, The FT, Vox and other publishers see ad dollars flow to sustainability content after increa…

Time is expanding its climate coverage at a time when the publisher is seeing increased investment from advertisers around sustainability content.

 

Publishers that have grown their teams covering climate change and sustainability are starting to see those strategies pay off with an increase in ad dollars. Now, publishers like Time are expanding their climate coverage with new editorial franchises, special issues and dedicated hubs. Even more encouraging is that concerns about greenwashing are already front-of-mind, with many partners looking to genuinely support change.


More from Media Voices

Practical AI – Lessons from local media

Practical AI Podcast Special: Lessons from local media

How local media organisations have got started with AI projects, the benefits they’re seeing, the challenges they’ve faced and more.

 

Our special Practical AI podcast documentary explores how local media organisations have got started with AI projects, the benefits they’re seeing, the challenges they’ve faced and what advice they would give to other publishers looking to get into AI. This episode and our corresponding report have been made possible with the support of United Robots.

Download Practical AI for Local Media for free

Report: Practical AI for Local Media

Find out how AI can help publishers take care of work that humans can’t so they can use the time saved to creating valuable commentary and analysis.

 

Our Practical AI report sidesteps the myths and misconceptions surrounding AI to find out what practical applications there really are for publishers. It spotlights use cases from publishers using AI to turn massive structured datasets into local news reports, updates on local sports teams and the insights inside property listings.

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