Financial News Content Publishing on Youtube.com.pdf (306.3 kB)
Download fileFinancial news content publishing on Youtube.com
conference contribution
posted on 2010-06-29, 15:36 authored by Martin SykoraMartin Sykora, Marek PanekRecently 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.
History
School
- Science
Department
- Computer Science
Citation
SYKORA, M.D. and PANEK, M., 2009. Financial news content publishing on Youtube.com. IN: SOFA 2009, 3rd International Workshop on Soft Computing Applications, Proceedings, 29 July–1 August, Szeged (Hungary) – Arad (Romania), pp. 99-104.Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2009Notes
This is a conference paper [© IEEE]. It is also available from: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
9781424450565Language
- en