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Do User Reveal the Needs That Motivate Them to Watch Gaming Videos? : = A Computational Analysis of Gaming Video User Comments on YouTube.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Do User Reveal the Needs That Motivate Them to Watch Gaming Videos? :/
其他題名:	A Computational Analysis of Gaming Video User Comments on YouTube.
作者:	Kim, Ji Ye.
面頁冊數:	1 online resource (93 pages)
附註:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
標題:	Communication. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30318649click for full text (PQDT)
ISBN:	9798379555054

Do User Reveal the Needs That Motivate Them to Watch Gaming Videos? : = A Computational Analysis of Gaming Video User Comments on YouTube.
Kim, Ji Ye.

Do User Reveal the Needs That Motivate Them to Watch Gaming Videos? :A Computational Analysis of Gaming Video User Comments on YouTube. - 1 online resource (93 pages)

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.A.)--The University of North Carolina at Chapel Hill, 2023.

Includes bibliographical references

The current study explored how viewers of YouTube videos of video game walkthroughs revealed the needs that motivated them to watch these videos through the public comments they left on the video pages. Informed by a synthesis of Self-Determination Theory, Acquired Needs Motivation Theory, and Uses and Gratifications Theory (UGT), comments were examined for evidence of affective needs, cognitive improvement needs, social interaction needs, sense of power needs, and tension release needs. Data included all public user comments from the most viewed gaming videos on YouTube with more than 2M views, based on a search of gameplay walkthroughs without commentary, gaming videos with commentary, and the compilation of the gameplay walkthrough samples and the gaming videos with commentary samples. Topic modeling using LDA2Vec, which is a combination of Latent Dirichlet Allocation (LDA) and Word2Vec models, was applied to the comments to identify major themes within the comments. Gaming videos with commentary only showed the valid, interpretable topic modeling result, having five topics. The comments included evidence of sense of power needs and social interaction needs accompanied with sense of power needs. Sense of power needs was the most dominant motivating needs among the users. However, affective needs, cognitive improvement needs and tension release were not found. I also identified examples of the motivating needs in gaming videos with commentary samples from analyzing the most representative documents in the gameplay walkthrough samples and the compilation of gaming videos with commentary and the gameplay walkthrough samples. Findings of the current study can be used to understand the most salient motives people have for engaging with this popular form of media, beyond merely identifying their sentiments in the comments. This study can therefore inform entertainment and marketing research about video games and gaming videos and show to what extent topic modeling can be used to evaluate audiences on YouTube. This study can also provide a meaningful way of understanding the mixed media system of YouTube, which combines video viewing with communication between users through commenting.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379555054Subjects--Topical Terms:

524709
Communication.
Subjects--Index Terms:

Computational methodIndex Terms--Genre/Form:

542853
Electronic books.

Do User Reveal the Needs That Motivate Them to Watch Gaming Videos? : = A Computational Analysis of Gaming Video User Comments on YouTube.
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