This document discusses common misconceptions about automated content generation and provides clarification. It notes that properly spun content takes time to produce, not just 5 minutes, and involves human input like editing. Legitimate uses of automated content include varying descriptions across sites and generating ideas for expressing information differently. While early automated content was low quality, the approach can now produce stories indistinguishable from human-authored ones if used appropriately. The document aims to dispel the notion that automated content is inherently low-quality or forbidden after Google's Panda update.
10. Automated Content Misconceptions
o Spun content = low quality and unreadable
o Spun content = fast
o No legitimate applications
o Automated content is dead after Panda
13. Automated Content Misconceptions
Spun content = low quality and unreadable
o Spun content = fast
o No legitimate applications
o Automated content is dead after Panda
15. The Time It Takes
Google’s example: Properly spun content:
• About 5 minutes • Up to a week
• No human • Several people
intervention working on a project
• No editing or (writers and editors)
proofreading before • Proofread before the
spinning software run
16. Automated Content Misconceptions
Spun content = low quality and unreadable
Spun content = fast
o No legitimate applications
o Automated content is dead after Panda
17. Legitimate Applications
• Varied descriptions in
directories, social profiles,
bookmarking sites
• Ideas on how to say the
same thing in different
ways
• Varying your anchor texts
• Varying your social
mentions
22. Automated Content Misconceptions
Spun content = low quality and unreadable
Spun content = fast
No legitimate applications
o Automated content is dead after Panda
23. Automated Content: The New Journalism?
“…transform data into
stories that are
indistinguishable from
those authored by
people”
27. Automated Content by Any Other Name
• Mashups
• RSS feeds syndication
• Tickers
• Real-time data updates
• Content curation
28. Automated Content Misconceptions
Spun content = low quality and unreadable
Spun content = fast
No legitimate applications
Automated content is dead after Panda
29. Additional Reading
o NYTimes on automated storywriting:
http://www.nytimes.com/2011/09/11/business/computer-generated-
articles-are-gaining-traction.html
o Autogenerated papers that passed human review:
http://pdos.csail.mit.edu/scigen/#examples
o Content curation for education:
http://www.mindomo.com/mindmap/content-curation-for-education-
and-learning-robin-good-emerge2012-
98ccaad217074a07b9bff8b76effab8e
o Blackhat ways to scale content creation
http://www.irishwonder.syndk8.co.uk/2012/11/03/ways-to-scale-
content-creation/
31. Questions?
Feel free to get in touch!
Me:
SEO consultant at irishwonder.com, CMO
of ContentMango
• info@irishwonder.com
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http://www.facebook.com/irishwonder
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