Project AI media
First of all I’ve ventured into AI journalism with PetaCrunch project (PetaPR for PR releases; and before that I wrote about Synthetic Content, the primary step into this direction). The goal with PetaCrunch was to ascertain what are real bottlenecks in journalists’ workflow like: sending emails, receiving materials, posting stories. My thesis was that 99.9% of non-investigative journalism are often automated — that’s , gathering data is that the hardest part. And after 6 months of being engaged with PetaCrunch I can basically confirm this thesis.
PetaCrunch and PetaPR became semi-automated media concerned with news and interviews. Worth noting is that PetaCrunch is posting only original content, that’s interviews done over email with business executives and startup founders. Automation in email handling allowed to contact tens of thousands of companies . We’ve targeted those which secured a funding to ask them about their plans and conduct a brief interview. We’ve conducted over 1,000 interviews with companies from round the world. All that was done within 3 months. This showed me what’s missing when it involves full automation and gave rise to Contentyze.
PetaCrunch remains doing fine and you’ll see it for yourself if you follow the link. However it had been just a step into a more universal direction: content creation at scale.
AI Content Marketing
Content is vital for any news outlet. you ought to be ready to publish relevant news regularly if you would like to possess visitors and monetise it. If you think that about the spectrum of written content, it varies from low-level reporting of local weather news, sport news, business deals to high-level investigative journalism and involved opinion pieces (think New Yorker).
You still can’t automate the latter, however you alright can start automating lower levels. There are already tools which permit you to post fully automated news about football matches right after they were played, or news about traffic or new businesses in town. likelihood is that you were reading automated news already without realising it. And to be honest this is often great for journalists who can specialise in more creative tasks.
How does it work? Any news may be a matter of connecting a knowledge source to a template algorithm. a knowledge source provides you a stream of knowledge a few particular niche, and a template algorithm gives you a text supported this data (‘prompt’ using machine learning terminology). Template algorithms vary from purely software engineered to deep learning language generation models.
The deeper you get into technology, the upper level content you’ll automate.
Future of Journalism
Having understood that AGI and text generation are related, my goal is to automate the maximum amount of content creation as possible. i would like to form it into a bigger platform and that’s how Contentyze came to be. I envision a universal platform which provides you texts supported data sources you provide. Hence the role of a journalist are going to be purely associated with crunching data and selecting sources to pursue. Less or none writing.
With Contentyze I decide to build a universal set of tools for media agencies, news outlets and marketing companies. We’re still not yet there, but we’re coming closer. In 2–3 years journalism are going to be ripe for disruption at unprecedented level. The last year was a wild ride and that i can only see immediately how far I’ve gone with these ideas: from synthetic content, through PetaCrunch to Contentyze and beyond (this a part of the story has got to remain untold for now).
On the ultimate note, content generation is vastly associated with journalism, but it’s much bigger than that. within the end we tell our stories through content: be that news, business documents or our daily communication. That’s why language understanding is that the core functionality of any longer involved AI system striving for completion.
- This little text will serve a task within the future.
- There’s no real end to the present story, because it only unfolds immediately .
- Stay tuned.
How to use AI in Journalism
For the longer term reference — mostly for myself, but if you’ll use it, then that’s even better — I wanted to notice a number of the texts, materials, books I found useful or want to read soon.
First of all there’s a blog Robot Writers AI, travel by a tech journalist who notes recent use cases of how AI was applied by various organisations. Worth reading especially for more references and interesting commentary.
Then there are two recent books treating how AI is changing journalism:
1. Newsmakers: AI and therefore the way forward for Journalism
2. Automating the News: How Algorithms Are Rewriting the Media
Both of those books are written by academics and surveys applications: from social media bots, to automating news writing and analytics utilized in investigations.
There’s also a report done by LSE and Google News Initiative on AI in journalism, which you’ll find here