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Why is there no analytic jobs related to Internet news / newsfeed optimization?
You can find plenty of jobs related to Internet search, social network, email, shopping, advertising optimization, blogs -- but none about news analytics / optimization, despite the fact that reading news is the #2 most popular activity on the web (after search).
Is news monetization (or lack of) and its business model (Press Releases), the reason why there's no jobs? Could the business model change in the next few years, and move to paid news: news articles paid by the click or by impression (or featured blog posts or tweets) rather than a flat, small fee paid to PR agencies regardless of performance? This would definitely create analytic jobs, and improve a number of metrics, including news relevancy. Publishers and companies releasing paid news would both benefit from this. You could add a [$] on the title line, for each paid news, to tell the user it's a paid news.
But even today, most news are already paid news (PR agencies get the money from advertisers and possibly from some publishers), it's just that the business model is not flexible enough, and could be significantly improved.
Is news monetization (or lack of) and its business model (Press Releases), the reason why there's no jobs? Could the business model change in the next few years, and move to paid news: news articles paid by the click or by impression (or featured blog posts or tweets) rather than a flat, small fee paid to PR agencies regardless of performance? This would definitely create analytic jobs, and improve a number of metrics, including news relevancy. Publishers and companies releasing paid news would both benefit from this. You could add a [$] on the title line, for each paid news, to tell the user it's a paid news.
But even today, most news are already paid news (PR agencies get the money from advertisers and possibly from some publishers), it's just that the business model is not flexible enough, and could be significantly improved.
Replies to This Discussion
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Permalink Reply by Vincent Granville on -
There's at least lot's of optimization in newsletter optimization, involving text mining techniques, to identify what are the best title keywords in terms of opening rate, best time to publish news, etc.
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Permalink Reply by Theodore Omtzigt on -
We (Stillwater Supercomputing) are mining news looking for trends that could affect supply chain and customer categories. Another company Radian6 tracks social networks to characterize trends around brands.
But I do agree that the business model is tough given the maturity of the news industry. I like what is happening in the mashup between news and social networks, and personally that got me back as a New York Times customer. HuffPost is similar in the sense that you are notified of the news that your collective is reading automatically. That is the web 2.0 automation of the old coffee shop where you were reading your newspaper and would share the stories you would find interesting with the guy next to you. In this mashup, there is a lot of analytics that can be put to bear.
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Permalink Reply by Blas Lomibao on -
I would like to ask that question too because I am trying to make some blogs more efficient and really I love the idea of paid news. It will be another money making opportunity for bloggers who produce lots of contents for free. Just like this one http://moneymakingonlinetip.blogspot.com/
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