Digg Service
A Digg Service is a News Aggregator that ...
- See: LinkedIn, Jay Adelson, Kevin Rose, New York City, New York, United States, Python (Programming Language), English Language, Alexa Internet, Betaworks, US$, News Aggregator.
References
2016
- (Wikipedia, 2016) ⇒ https://en.wikipedia.org/wiki/Digg Retrieved:2016-8-27.
- Digg is a news aggregator with a curated front page, aiming to select stories specifically for the Internet audience such as science, trending political issues, and viral Internet issues. It was launched in its current form on July 31, 2012, with support for sharing content to other social platforms such as Twitter and Facebook.
It formerly had been a very popular social news website, allowing people to vote web content up or down, called digging and burying, respectively. Quantcast had estimated Digg's monthly U.S. unique visits at 3.8 million. Digg's popularity prompted the creation of similar social networking sites with story submission and voting systems such as Reddit. In July 2008, the former company took part in advanced acquisition talks with Google for a reported $200 million price tag, but the deal ultimately fell through. After a controversial 2010 redesign and the departure of co-founders Jay Adelson and Kevin Rose, in July 2012 Digg was sold in three parts: the Digg brand, website and technology were sold to the current owner, Betaworks, for an estimated $500,000; 15 staff were transferred to the Washington Posts "SocialCode" for a reported $12 million; and a suite of patents was sold to LinkedIn for about $4 million.
- Digg is a news aggregator with a curated front page, aiming to select stories specifically for the Internet audience such as science, trending political issues, and viral Internet issues. It was launched in its current form on July 31, 2012, with support for sharing content to other social platforms such as Twitter and Facebook.
2010
- (Szabo & Huberman, 2010) ⇒ Gabor Szabo, and Bernardo A. Huberman. (2010). “Predicting the Popularity of Online Content.” In: Communications of the ACM Journal, 53(8). doi:10.1145/1787234.1787254
- QUOTE: We solve this problem here, illustrating our approach with data collected from the portals Digg (http://digg.com) and YouTube (http://youtube.com), two well-known examples of popular content-sharing-and-filtering services.