Artificial Intelligence and the Future of Content Creation
I wanted to share this article because it struck me as an interesting addition to the prosumer culture of Web 2.0. The article touches on the ever-automating web and improving algorithms of artificial intelligence as it affects content on social media platforms.
The article is written with a focus on digital marketing and brand content creation, but affects all of us as we are the consumers of that info. The author writes that with the creation of software and AI that recognizes nuances in content creation, brands will be able to write one draft of an ad or an article or whatever content they are creating and have computer software translate that piece of content so that it best fits the layouts and content stipulations of any and all social media platforms. This takes the labor-intensive nature of digital marketing out of the equation (though it obviously also removes much of the human factor).
The computer software continually learns with each new piece of content published and eventually forms a cookie cutter mold for each desired social media platform. I'm interested to see how this affects the prosumer culture, as it could become more difficult to have genuine and meaningful interactions and exchanges over the internet if the other party is a computer program. I also wonder where the human element would come into play, if companies would still have employees respond to Tweet replies for instance or if all replies would be handled by the software with a few programmed canned responses.
The article is written with a focus on digital marketing and brand content creation, but affects all of us as we are the consumers of that info. The author writes that with the creation of software and AI that recognizes nuances in content creation, brands will be able to write one draft of an ad or an article or whatever content they are creating and have computer software translate that piece of content so that it best fits the layouts and content stipulations of any and all social media platforms. This takes the labor-intensive nature of digital marketing out of the equation (though it obviously also removes much of the human factor).
The computer software continually learns with each new piece of content published and eventually forms a cookie cutter mold for each desired social media platform. I'm interested to see how this affects the prosumer culture, as it could become more difficult to have genuine and meaningful interactions and exchanges over the internet if the other party is a computer program. I also wonder where the human element would come into play, if companies would still have employees respond to Tweet replies for instance or if all replies would be handled by the software with a few programmed canned responses.
Great Article!
ReplyDeleteThe machines are coming. Oh no, it’s AI. Haha. I’m totally for this. Let the machines to the work. They can learn and remember all the patterns they want. It’s great for content creation and content consumption. I find it so much easier to create when I have done my homework. But it’s definitely a job that the computers can do. It’s a lot of work going out there finding good sources. AI offers better sources mined through the hard-working computers out there creeping and crawling through all the data. Something no one has time for.
In a somewhat simple process of writing a news article let’s say first one must go out and get the resources. Now machines can do it for me. They can follow all my favorite leads and alert me to any trending conversation. Once I’ve got my material next, I would have to arrange the content to make it original. This is the part where it gets tricky for AI. They can re-arrange but they have a hard time creating. Will that change? Perhaps. I love those twitter bots that create content from other content. And of course, the random generators create some funny posts. But meaningful content is created by the community. This will never be fully replaced with AI. Right?
I thought the article had some progressive insertions for machine learning and automation in the case of presenting and allocating content. Thinking of the “work-flow” involved with witting and creating the process is often already known. Once patterns of creation are established automating them becomes easier. And the Huffpost is right, machines will be awesomely helpful at chunking content so it can be parsed to various media outlets. Great example of this is what NPR does on their site. News articles are set up to be ported into a verity of containers. They can do this because their process creates variations of content. For example, creating three sub titles instead of one. One long, medium, and short. Let the device or app choose which one the user wants. Is this data being displayed on a watch or a movie screen?
Great Post!
Hi Alexis,
ReplyDeleteI really enjoyed this article and I think it is amazing what machine learning is doing these days. The fact is that it is only going to become more powerful and ubiquitous as time moves forward. It is especially neat to read about automating content curation, and I believe that this will be a wonderful technique for educational resources. It will be interesting to see how advertisers use this machine learning for targeting consumers – I can see it happening already. Facebook has already granted us the ability to offer different advertisements to different demographic populations and now we can even use personalized data to get a narrower target.
I think that machine learning will soon be able to do much more than what this article divulges. I feel like the shape cutter application for different social media sites is old news, and they already more have more power than they are revealing. I personally think that machine learning will replace the need for advertising agencies altogether. They will soon be able to match creative media content up with user preferences and ideologies and present advertising content in a perfectly individualized context. They will be able to easily predict exactly what we need and when we need it. As I am typing this, they are composing complex algorithms to determine what I want or what I may need. If they can use machine learning to present advertising content at the perfect time for a user, then things could really get interesting.
It is scary to think that technology may be able to know more about us and get more effective reactions out of us than people, but alas, this is the way of the future! The data is all out there, and we are generating more and more every day, with every click – it is only a matter of time before they optimize this technology to be able to make decisions on its own. Great share!