Wright, A. (2009). “Mining the Web for Feelings, Not Facts.” The New York Times. Retrieved on 30 June, 2010. http://www.nytimes.com/2009/08/24/technology/internet/24emotion.html Online presence is a valuable commodity in today’s digital market. As companies seek to track exactly how their brand is discussed via the web and where these discussions appear, it becomes apparent that even a team of employees devoted to such research cannot tackle the shear size of the medium. Thus, algorithms are being employed by marketing research firms as well as companies themselves to handle not only the amount of information present on the Internet, but also in what context it amasses. These algorithmic tools are applied all over the web, but are concentrated on social networking sites like Facebook and Twitter, as well as sites that allow large amounts of user-generated content. Theoretically, in this way a computer can track not only when a company is mentioned but also in what connotative context it appears. Differing from previous brand tracking, these new programs seek to determine subjective opinion as well as objective knowledge. By programming computers to scan the Internet for words that hold certain connotative meanings, marketers and brands can preemptively address user satisfaction issues as well as…
Tag Archive for Twitter
Conceptual Design, Contributor, Cultural Differences, Interaction Design, Interface Design, Users
On “Who’s Driving Twitter’s Popularity? Not Teens”
by Joseph •
Article | Miller, C. (2009). “Who’s Driving Twitter’s Popularity? Not Teens.” The New York Times. Retrieved 22 Octover, 2009. http://www.nytimes.com/2009/08/26/technology/internet/26twitter.html Summary | Traditional early-adopter models assume that the youth – teens, tweens, and children – are core to the success of new technologies. However, recent products (e.g., iPhone, GPS devices, Kindle) have proven this to be largely myth. The notable example chosen by Claire Cain Miller is the exponential growth of Twitter over the last couple years. While many factors have contributed to the success of twitter among adults, core among them are the nature of the different groups’ social structures/interactions, existing application ecosystem, and (not discussed) Twitter’s design. Whereas a child’s (and even young adults’) main interactions occur within their core social group, an adult’s interactions often include a much wider and more loosely defined sphere of individuals. Twitter, with its “one-to many network”, is much more suited to this collective experience. Additionally, the nature of their online social interactions is not dictated by “the music [they] listen to and the quizzes [they] take”, but participation in an ongoing social dialogue. Twitter’s ability to facilitate diverse conversation on many topics with an audience far beyond one’s social circle differentiates…