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Title: Financial news content publishing on Youtube.com
Authors: Sykora, Martin D.
Panek, Marek
Issue Date: 2009
Publisher: © IEEE
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.
Abstract: 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.
Description: 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.
Version: Published
DOI: 10.1109/SOFA.2009.5254871
URI: https://dspace.lboro.ac.uk/2134/6420
ISBN: 9781424450565
Appears in Collections:Conference Papers and Presentations (Computer Science)

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