User-Generated Content (UGC)

AKA: Consumer Generated Media.
Context:
- It can (typically) express an Opinion.
- ...
- It can range from being a Short UGC to being a Long UGC, depending on content complexity and depth.
- It can range from being a Professional UGC to being a Casual UGC, depending on the user's intent and skill level.
- It can range from being a Structured UGC to being an Unstructured UGC, depending on platform design.
- It can range from being a Public UGC to being a Private UGC, depending on privacy settings.
- ...
- It can be evaluated by some other User (see Peer-Reviewed Content).
- ...
Example(s):
- Blog Posts, such as personal opinion pieces or tutorials.
- Customer Product Reviews, such as ratings and text reviews on e-commerce platforms.
- Social Media Posts, including tweets, Facebook statuses, and Instagram photos.
- User-Generated Articles, such as LinkedIn articles and Medium articles.
- YouTube Videos, where users upload content ranging from vlogs to tutorials.
- …
Counter-Example(s):
- a Professional Product Review.
- a Corporate Website Page.
- a Newswire Item.
- a Peer-Reviewed Publication.
See: Online Comment, User Generated Data, Wikipedia Page.

References

(Wikipedia, 2011) ⇒ http://en.wikipedia.org/wiki/User-generated_content
- QUOTE: User generated content (UGC) covers a range of media content available in a range of modern communications technologies. It entered mainstream usage during 2005 having arisen in web publishing and new media content production circles. Its use for a wide range of applications, including problem processing, news, gossip and research, reflects the expansion of media production through new technologies that are accessible and affordable to the general public. All digital media technologies are included, such as question-answer databases, digital video, blogging, podcasting, forums, review-sites, social networking, david building and discovery. Sometimes UGC can constitute only a portion of a website. For example on Amazon.com the majority of content is prepared by administrators, but numerous user reviews of the products being sold are submitted by regular users of the site.
  Often UGC is partially or totally monitored by website administrators to avoid offensive content or language, copyright infringement issues, or simply to determine if the content posted is relevant to the site's general theme. However, there has often been little or no charge for uploading user generated content. As a result, the world's data centers are now replete with exabytes of UGC that, in addition to creating a corporate asset, may also contain data that can be regarded as a liability.^[1]^[2]

(Jijkoun et al., 2008) ⇒ Valentin Jijkoun, Mahboob Alam Khalid, Maarten Marx, and Maarten de Rijke\n. (2008). “Named Entity Normalization in User Generated Content.” In: Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data (AND 2008). doi:10.1145/1390749.1390755
- QUOTE: We consider the NEN (named entity normalization) task within the setting of user generated content (UGC), such as blogs, discussion forums, or comments left behind by readers of online documents. For this type of textual data, the NEN task is particularly important within the settings of media and reputation analysis (which motivated the work reported here) and of intelligence gathering.