2 research outputs found
Media sharing websites and the US financial markets
Recently, one of the main issues of concern within the world wide web is the understanding of web 2.0 mass
collaboration systems. These systems have emerged in recent years and gained enormous popularity. It must, however, be
pointed out, that the potential and practical application of web 2.0 are still not well understood and deserve academic
attention. In this paper we investigate the online media sharing collaborative community and its applications for uses in
stock market analysis and prediction. Specifically, we look at Youtube.com, one of the most popular social media sharing
websites. The association with stock market behaviour and usage patterns are investigated. This work became of more
interest and significance with the recent credit crunch crisis. The data under investigation is novel, and to our knowledge,
this paper reports the first investigation of its kind to the use of collaborative media sharing website for stock market
analysis. We find significant association between video meta-data and textual data using a content driven sentiment text
mining approach. The results are very encouraging and importantly highlight efficient information transfer to online
media sharing communities as there seems to be predictive value in youtube data
Financial news content publishing on youtube.com
Recently a number of academic publications have
investigated various properties and dynamics of author's
contributors on online Web 2.0 communities. The most
intensively examined communities have until now been
discussion boards and blogs. In this paper we look at, and
identify revealing patterns of content publishers on YouTube.
This is the most popular community based service on the world
wide web as ranked by the frequency of visited webpages. The
research is motivated in terms of gaining better understanding
of content publishing habits within financial news topic
specifically and we investigate the potential for trend detection
in financial markets area. A number of side issues, such as
publisher bias and various video properties are also examined. It
turns out, the number of video submissions by professional
authors has increased considerably in recent months. There is
significant quantity to allow statistical analysis of events. As we
show, the potential value of the data on YouTube cannot be
ignored any longer. We present recent results and work on a
project that investigated a completely new dataset, not really
considered in previous literature