Classifying User Generated Content
User Generated Content (UGС) is a very popular theme nowaday. All related aspects are very interesting: SEO - UGС, Social Marketing - UGС, but question is - what methods for classifying User Generated Content we can use.
- 1. Volume/Scale
- 2. Publicness/Privacy
- 3. Frequency
How regularly is the content created?
- 4. Reach
Defines the size of the audience impacted by the UGC.
- 5. Purpose
a) Commercial - with the eventual objective of generating interest in selling a product or service;
b) Social - intended to connect to other users for the purposes of establishing or fulfilling a relationship with them;
c) Transformational - containing information or ideas intended to educate, inform or influence the readership.
- 6. Validity
a) The credibility of the content generator established through reputation, tone, qualifications, or depth of research
b) The quality and accuracy of the content
c) The appropriateness of the content to the audience that receives it, does it answer their needs?
- 7. Medium
- 8. Message
How user generated message correlates to auditory from the point of Sociology. The Purpose is pragmatics. Message is semantics.
- 9. Tone - negative, neutral, positive
- 10. Cites - adopted quotations, references to the extraneous resources
As SEO Freelancer I look forward to find anything promising of UGС metrics.
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