Towards Multiculturalism in Turkish Public Service Broadcasting

The announcement of Turkey as a European Union (EU) candidate country in the Helsinki Summit (10, 11 December 1999) marked a distinct change of identity policy and attitudes towards its citizens. A result in the shift of mindset has been the launch of the first public service broadcasting TV channel for Kurdish people on the 1st of January 2009. TRT 6 (Şeş) broadcasting in unofficial Kurdish language is run by Turkish Radio and Television Corporation (TRT). The thesis attempts to elaborate on the discussions surrounding the launch of TRT 6, Turkey’s first public service broadcasting TV channel for its Kurdish citizens. The research aims at finding the discourses of multiculturalism and public service broadcasting through the mainstream Turkish newspapers, Cumhuriyet, Hurriyet, Sabah, Taraf and Zaman. The method used for the research is Critical Discourse Analysis (CDA) and the representative newspapers of the Turkish print media are under the question: How has the launch of TRT 6, as the first public service broadcasting channel of Turkey in Kurdish language, been discussed by Turkish daily newspapers in terms of multiculturalism and minority media? The most significant results of the research is that the concerning newspapers have mostly discussed the launch of TRT 6 in the same line with their political affiliation. Thus it is comprehensively concluded that the selected newspapers proved holding a high level of political parallelism, and low professionalism. However, it should be noted that Taraf differs itself from others while challenging the hegemonic discourses embedded in the articles of the other newspapers. Moreover, the study detected three types of discourses: Pro-multiculturalism discourse, Unification discourse, and Assimilation discourse. It can be concluded that in Turkey, media owners and even individual journalists have incentives to form ideological alliances with political parties, and media appears to be an instrument of power struggle. Today, Turkey seems to restore Kurdish identity in its identity policy and aims to proceed with the negotiation for membership of the European Union (EU). The country still strives to transform from the traditional nation-state to a multiethnic democratic state, with multiculturalism as a policy discussed throughout the two terms that the AKP government has been in power. However, this transformation is not an easy process because of the deep-rooted traditions of the nation-state structure that has also polarized the Turkish press.

Verkkoradio, musiikki ja radio - katsaus verkkoradioihin osana suomalaisten musiikin kuuntelua

This thesis examines Internet-radios and other web-based music services, and different ways these services are used in music listening in Finland. The research material was gathered in eight interviews that took place between spring 2005 and spring 2006 in southern Finland. The analysis distinguishes between five main types of Internet-radios: a) simulcasting, b) webcasting, c) podcasting, d) web-based sound archives, e) interactive music services. As a medium for music listening these combine aspects of computers and traditional radio. The role of Internet-radios in everyday life as well as different types of listening motivation are examined in the light of earlier research on taste, music listening and radio listening.

Semi-supervised learning of WLAN radio maps

In this thesis a manifold learning method is applied to the problem of WLAN positioning and automatic radio map creation. Due to the nature of WLAN signal strength measurements, a signal map created from raw measurements results in non-linear distance relations between measurement points. These signal strength vectors reside in a high-dimensioned coordinate system. With the help of the so called Isomap-algorithm the dimensionality of this map can be reduced, and thus more easily processed. By embedding position-labeled strategic key points, we can automatically adjust the mapping to match the surveyed environment. The environment is thus learned in a semi-supervised way; gathering training points and embedding them in a two-dimensional manifold gives us a rough mapping of the measured environment. After a calibration phase, where the labeled key points in the training data are used to associate coordinates in the manifold representation with geographical locations, we can perform positioning using the adjusted map. This can be achieved through a traditional supervised learning process, which in our case is a simple nearest neighbors matching of a sampled signal strength vector. We deployed this system in two locations in the Kumpula campus in Helsinki, Finland. Results indicate that positioning based on the learned radio map can achieve good accuracy, especially in hallways or other areas in the environment where the WLAN signal is constrained by obstacles such as walls.