An Analysis of Chinese Web Series Development and Strategy Go Princess Go

2021 ◽  
Author(s):  
Yiyi Yin
Keyword(s):  
Web Series ◽  
Series Development

EXPLORING WHAT MOTIVATIONS MAKE YOUNG GENERATION PREFER WEB SERIES

2018 ◽  
Vol 2018 ◽  
pp. 1593-1593
Author(s):  
Huanzhang Wang ◽  
◽  
Honglei Liu ◽  
Kyung Hoon Kim
Keyword(s):  
Young Generation ◽  
Web Series

scholarly journals The platformisation of public service broadcasting in Germany: The network ‘funk’ and the case of Druck/Skam Germany

2021 ◽  
Vol 16 (2) ◽  
pp. 126-144
Author(s):  
Sven Stollfuß
Keyword(s):  
Social Media ◽  
Public Service ◽  
Third Party ◽  
Mobile Media ◽  
Media Environment ◽  
The Public ◽  
Public Service Broadcasting ◽  
Web Series ◽  
Production And Distribution ◽  
German Adaptation

This article investigates how platformisation changes the practices of content production and distribution through the case of the web series, Druck (tr. Pressure (2018–), for the public service content network ‘funk’ (ARD and ZDF). An analysis of the German adaptation of the Norwegian television and web series Skam (tr. Shame) (NRK3, 2015–2017) shows how public service broadcasting (PSB) in Germany is changing due to the influence of social media. To reach a younger audience, PSB has to meet them on third-party platforms. Consequently, PSB must provide content that fits the mobile media environment of social media.

Speech Emotion Recognition on Indonesian YouTube Web Series Using Deep Learning Approach

2020 ◽  
Author(s):  
Hanina Nuralifa Zahra ◽  
Muhammad Okky Ibrohim ◽  
Junaedi Fahmi ◽  
Rike Adelia ◽  
Fandy Akhmad Nur Febryanto ◽  
...  
Keyword(s):  
Deep Learning ◽  
Emotion Recognition ◽  
Speech Emotion Recognition ◽  
Learning Approach ◽  
Web Series

scholarly journals Brand placement in Web Series: Assessing consumer attitudes in India

2021 ◽  
Vol 17 (2) ◽  
pp. 33-44
Author(s):  
Kavitha Venkatasubramany Iyer ◽  
Anupam Siddhartha
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Self Report ◽  
Perceived Ease Of Use ◽  
Brand Placement ◽  
Communication Plan ◽  
Web Series ◽  
Positive Attitudes ◽  
Acceptance Model

Reports indicate that 49% of adults in India spend at least 2-3 hours consuming OTT media, rather than watching conventional television. With such changes in the way the general population is exposed to content, brands have also been adapting to the new patterns that this study investigates. This study was conducted to assess consumers’ attitudes and acceptance towards brand placement in the novel media format of web series based on the Technology Acceptance Model (TAM). This study, based on a survey of 278 individuals from Urban India settings, was conducted using a self-report questionnaire adapted from F Davis’s Perceived Usefulness, Perceived Ease of Use and User Acceptance of TAM questionnaire (1989). The study supports TAM and recognizes that the frequency of viewing Web Series directly relates to brand recall (R = 0.57, p < .001). Product/brand placement yields brand awareness for unknown or unpopular brands and provide evidence for higher engagement with the placement when the audiences have pre-existing positive attitudes towards the brand (t (277) = 27.11, p = .01). This study also confirms that TAM as a relevant model can be applied to understand how regularity and duration of viewing affect attitudes towards brands and their placement in Web Series. Brand placement in Web Series is perceived as useful and largely determines brand name recall. Thus, marketers should strategically consider using brand placement in Web Series as a part of their marketing communication plan, especially as this media with other related forms of advertisement are important for brands to keep up with the industry’s communication challenges.

scholarly journals Symbol alphabets from tensor diagrams

2021 ◽  
Vol 2021 (12) ◽  
Author(s):  
Lecheng Ren ◽  
Marcus Spradlin ◽  
Anastasia Volovich
Keyword(s):  
Yang Mills ◽  
Square Roots ◽  
Web Series

Abstract We propose to use tensor diagrams and the Fomin-Pylyavskyy conjectures to explore the connection between symbol alphabets of n-particle amplitudes in planar $$ \mathcal{N} $$ N = 4 Yang-Mills theory and certain polytopes associated to the Grassmannian Gr(4, n). We show how to assign a web (a planar tensor diagram) to each facet of these polytopes. Webs with no inner loops are associated to cluster variables (rational symbol letters). For webs with a single inner loop we propose and explicitly evaluate an associated web series that contains information about algebraic symbol letters. In this manner we reproduce the results of previous analyses of n ≤ 8, and find that the polytope $$ {\mathcal{C}}^{\dagger}\left(4,9\right) $$ C † 4 9 encodes all rational letters, and all square roots of the algebraic letters, of known nine-particle amplitudes.

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