Remove aggregator internet
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AI copyright could lead to new Marketing opportunities

Kevin Indig

Aggregators like Google would lose power since content platforms could train models on their data and provide superior AI experiences. Of the 45 terabytes of text GPT-3 was trained on, 60% came from Common Crawl*, 22% from WebText 2 (which is trained on outgoing links from Reddit), 8% on books and 3% on Wikipedia.

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Smart Tags – Content Tagging Made Easy

Parse.ly

High-level Smart Tags are aggregated into broad categories (Sports, Health & Fitness, etc). They’re roughly analogous to sections and are based on the Internet Advertising Bureau’s content taxonomy. Their taxonomy is built on Wikipedia entries. You define what they are and how they’re structured.

Tagging 52
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Smart Tags – Content Tagging Made Easy

Parse.ly

High-level Smart Tags are aggregated into broad categories (Sports, Health & Fitness, etc). They’re roughly analogous to sections and are based on the Internet Advertising Bureau’s content taxonomy. Their taxonomy is built on Wikipedia entries. You define what they are and how they’re structured.

Tagging 52
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Content Aggregation and Curation Debated

Biznology

Image via Wikipedia. Check out the first in the podcast series, on Content Creation vs. Content Aggregation. Tags: Internet Marketing contentmanagement podcast.

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Wearables, sensors and other things to watch in 2014

Biznology

(Photo credit: Wikipedia). Though the sensors were put into your devices for your convenience, when the information is aggregated it can be useful to society at large (or companies in particular, as you can imagine). In 2014 and beyond, look for ways that aggregated sensor data morphs into new products or apps.

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Fill in your entire social media timeline backlog

Biznology

Most of my clients and friends have made exactly the same mistake: their social media life effectively began on the day they started blogging, tweeting, and Facebooking and it has never and will never occur to them that the Internet isn’t a book printed once onto paper — that it is infinitely editable, hackable, revisable, and adaptable.

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What’s next? Social Media and the Information Life Cycle

Biznology

Image via Wikipedia. Radio, cinema, TV, and the Internet of the 1990s did more of the same for a broader set of records of human knowledge. Imagine how much more knowledge could be created if we had better ways to share and aggregate atomic pieces of information. Back in the days when “Web 2.0″ Distributing.