scholarly journals DİJİTAL PLATFORM NETFLİX’İN LA CASA DE PAPEL DİZİSİNDE ÇAPRAZ MEDYA STRATEJİSİNİN İNŞASI THE CONSTRUCTION OF THE CROSS-MEDIA STRATEGY OF THE DIGITAL PLATFORM NETFLIX IN LA CASA DE PAPEL SERIES

2021 ◽  
Vol 7 (3) ◽  
pp. 503-521
Author(s):  
Olcay Holat
Keyword(s):  
Digital Platform ◽  
Cross Media ◽  
The Cross

scholarly journals Nikkei as a complete cross-media system

2020 ◽  
pp. 56-60
Author(s):  
B. Pashchenko
Keyword(s):  
Scientific Paper ◽  
Global Market ◽  
Media Theory ◽  
Information Networks ◽  
Cross Media ◽  
Daily Press ◽  
Media System ◽  
Media Platform ◽  
The Cross ◽  
The Relationship

The scientific paper is devoted to the cross-media system which is built around Japanese economic newspaper Nikkei. The work considers the phenomenon of cross-media, the preconditions of its establishment in Japan, and its functioning with complete Nikkei cross-media platform as an example. Research shows how traditional Japanese daily press evolves into cross-media. The academic work considers the peculiarities of the most influential economic newspaper Nikkei, its history, topics and different channels through which the audience consumes information within the cross-media system. In addition, the author analyzes the circulation of various editions of the newspaper, tracing its changes from 2012 to 2019. The article analyzes how the newspaper builds a cross-media platform around print media, online publications, television, radio, information networks, participation in educational projects and exhibitions, and the introduction of augmented reality elements. The research compares cross-media categories by Gary Hayes with Nikkei cross-media elements, illustrating each category. The author also considers how Nikkei enters the global market, analyzes the processes of globalization and digitization of Japanese media model. The author defines the relationship between the development of online cross-media elements and the steady decline of the print circulations. The results of the work can be used for the further studies of Japanese media theory in domestic and foreign scientific discourses.

scholarly journals КРОС-МЕДІЙНІ ІНСТРУМЕНТИ МОНЕТИЗАЦІЇ ТЕЛЕВІЗІЙНОГО Й ІНТЕРНЕТ-КОНТЕНТУ

2019 ◽  
Vol 2 (1(31)) ◽  
pp. 8-16
Author(s):  
Черемних І. В.
Keyword(s):  
Online Content ◽  
Cross Media ◽  
Media Consolidation ◽  
Internet Tv ◽  
Cross Platform ◽  
The Media ◽  
Pay Tv ◽  
The Cross ◽  
Media Market

The article is devoted to the problems of finding new forms of interaction between various media market players and new tools for converting TV and Internet content into profit. Changing the paradigm of consumption of TV and online content creates new conditions for the functioning of media business in Ukraine. Media can effectively monetize content through cross-platform processes such as co-branding, sampling, media baying, PayWall, b2b, b2c partnership, Transmedia Storytteling and others. First of all, it concerns the co-operation of traditional and Internet TV, PAY-TV, IPTV / OTT, digital, cable and satellite penetration, TV and Internet content producers, operators, providers. Through the cross-media consolidation of resources, the combination and distribution of content, players of the media market have the opportunity to successfully finance their budgets and receive greater dividends from the integration of efforts.

The Cross-media Problem

1982 ◽  
pp. 3-9
Author(s):  
JULIAN LOWE ◽  
DAVID LEWIS ◽  
MARTIN ATKINS
Keyword(s):  
Cross Media ◽  
The Cross

Cross-Media Retrieval Based on Query Modality and Semi-Supervised Regularization

2017 ◽  
Vol 21 (7) ◽  
pp. 1211-1220
Author(s):  
Yihe Liu ◽  
◽  
Huaxiang Zhang ◽  
Li Liu ◽  
Lili Meng ◽  
...  
Keyword(s):  
Semantic Information ◽  
Structural Information ◽  
Unlabeled Data ◽  
Experimental Results ◽  
Retrieval Method ◽  
Cross Media ◽  
Feature Spaces ◽  
Media Objects ◽  
The Cross ◽  
Original Feature

Existing cross-media retrieval methods usually learn one same latent subspace for different retrieval tasks, which can only achieve a suboptimal retrieval. In this paper, we propose a novel cross-media retrieval method based on Query Modality and Semi-supervised Regularization (QMSR). Taking the cross-media retrieval between images and texts for example, QMSR learns two couples of mappings for different retrieval tasks (i.e. using images to search texts (Im2Te) or using texts to search images (Te2Im)) instead of learning one couple of mappings. QMSR learns two couples of projections by optimizing the correlation between images and texts and the semantic information of query modality (image or text), and integrates together the semi-supervised regularization, the structural information among both labeled and unlabeled data of query modality to transform different media objects from original feature spaces into two different isomorphic subspaces (Im2Te common subspace and Te2Im common subspace). Experimental results show the effectiveness of the proposed method.

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