Analysis on Students’ Online Video Content Preference

2018 ◽  
Vol 24 (1) ◽  
pp. 524-526 ◽  
Author(s):  
Hendy Kasim ◽  
Asnan Furinto ◽  
Ronnie Resdianto Masman
Keyword(s):  
Author(s):  
Zeyang Yang ◽  
Mark Griffiths ◽  
Zhihao Yan ◽  
Wenting Xu

Watching online videos (including short-form videos) has become the most popular leisure activity in China. However, a few studies have reported the potential negative effects of online video watching behaviors (including the potential for ‘addiction’) among a minority of individuals. The present study investigated online video watching behaviors, motivational factors for watching online videos, and potentially addictive indicators of watching online videos. Semi-structured interviews were conducted among 20 young Chinese adults. Qualitative data were analyzed using thematic analysis. Eight themes were identified comprising: (i) content is key; (ii) types of online video watching; (iii) platform function hooks; (iv) personal interests; (v) watching becoming habitual; (vi) social interaction needs; (vii) reassurance needs; and (viii) addiction-like symptoms. Specific video content (e.g., mukbang, pornography), platform-driven continuous watching, and short-form videos were perceived by some participants as being potentially addictive. Specific features or content on Chinese online video platforms (e.g., ‘Danmu’ scrolling comments) need further investigation. Future studies should explore users’ addictive-like behaviors in relation to specific types of online video content and their social interaction on these platforms.


First Monday ◽  
2015 ◽  
Author(s):  
Tatiana Pontes ◽  
Elizeu Santos-Neto ◽  
Jussara Almeida ◽  
Matei Ripeanu

Multimedia content is central to our experience on the Web. Specifically, users frequently search and watch videos online. The textual features that accompany such content (e.g., title, description, and tags) can generally be optimized to attract more search traffic and ultimately to increase the advertisement-generated revenue.This study investigates whether automating tag selection for online video content with the goal of increasing viewership is feasible. In summary, it shows that content producers can lower their operational costs for tag selection using a hybrid approach that combines dedicated personnel (often known as ‘channel managers’), crowdsourcing, and automatic tag suggestions. More concretely, this work provides the following insights: first, it offers evidence that existing tags for a sample of YouTube videos can be improved; second, this study shows that an automated tag recommendation process can be efficient in practice; and, finally it explores the impact of using information mined from various data sources associated with content items on the quality of the resulting tags.


2019 ◽  
Vol 119 (5) ◽  
pp. 1128-1146
Author(s):  
Woonkian Chong ◽  
Simon Rudkin ◽  
Junhui Zhang

Purpose Exponential growth in online video content makes viewing choice and video promotion increasingly challenging. While explicit recommendation systems have value, they inherently distract the user from normal behaviour and are open to numerous biases. To enhance user interest evaluation accuracy, the purpose of this paper is to comprehensively examine the relationship between implicit feedback and online video content, and reviews gender differentials in the interest indicated by a comprehensive set of viewer responses. Design/methodology/approach This paper includes 200 useable observations based on an experiment of user interaction with the Youku platform (one of the largest video-hosting websites in China). Logistic regression was employed for its simple interpretation to test the proposed hypotheses. Findings The findings demonstrate gender differentials in cursor movement behaviour, explainable via well-studied splits in personality, biological factors, primitive behaviour and emotion management. This work offers a solution to the sparsity of work on implicit feedback, contributing to the literature that combines explicit and implicit feedback. Practical implications This study offers a launch point for further work on human–computer interaction, and highlights the importance of looking beyond individual metrics to embrace wider human traits in video site design and implementation. Originality/value This paper links implicit feedback to online video content for the first time, and demonstrates its value as an interest capturing tool. By reviewing gender differentials in the interest indicated by a comprehensive set of viewer responses, this paper indicates how user characteristics remain critical. Consequently, this work signposts highly fruitful directions for both practitioners and researchers.


2019 ◽  
Vol 41 (7) ◽  
pp. 995-1010 ◽  
Author(s):  
Anthony YH Fung

In this article, I explain a new media ecology for online television in which the online audience or fans and their participation play a stronger role in swaying the online video content or production. I call it fandomization of online television. Dependent on the number of online users and the viewership, online television platforms have to produce programs that align with the fans’ discourse and emotions to maximize their viewership. This results in a fan-discourse-led production, as in the case of China’s huge online video or television market. Based on my study of the top online television production company, Tencent Video, and its top television program, as well as ethnographic observations of their productions, I illustrate how Tencent Video manages fans by establishing a fan-based platform that works in tandem with its television platform. The dual television and fan-based platform of the television industry forms an interlocking web of the network of fans, their idols, and social media, with the consequences that social and political public discourse are highly synchronized in China’s extremely controlled Internet.


2019 ◽  
Vol 80 (9) ◽  
pp. 498 ◽  
Author(s):  
Andrea Rodgers

A recent survey found that 51% of Internet users in the United States watch online video content every day. In 2018, adults aged 18 to 34 spent a weekly average of 105 minutes watching video content on their smartphones. For better or worse, streaming video is here to stay and so is the expectation for access to it. Despite shrinking budgets, academic libraries are spending valuable funds on streaming video resources to meet these new demands.


10.28945/2259 ◽  
2015 ◽  
Vol 12 ◽  
pp. 083-093 ◽  
Author(s):  
Ruti Gafni ◽  
Nitza Geri

This study examines diverse information media in order to identify those formats that are most suitable for consumption via handheld mobile devices, namely, smartphones and tablets. The preferences of the users are measured objectively by analyzing actual data of their relative use of handheld mobile devices and personal computing (PC) desktop devices, including laptops and notebooks, for consumption of information presented in various formats. Our findings are based on Google Analytics pageview data of five course Websites during a period of three semesters, by 11,557 undergraduate students. M-learning contexts were chosen, since in a learning environment the interests of information providers (i.e., the instructors) are in accord with those of the information consumers (i.e., the students), whereas in commercial settings there may be conflicts of interests. Our findings demonstrate that although about 90% of the pageviews were via PC devices, the rate of smartphone use for consuming learning content in diverse information media is gradually increasing as time goes by, whereas the rate of tablet use for these purposes is stagnant. The most promising direction for smartphone development, emanating from the findings, is online video content.


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