Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 29, 19 April 2024
Open
Access | Article
The Influence of Titles on YouTube Trending Videos
* Author to whom correspondence should be addressed.
Abstract
The global video platform market has been growing in a remarkable way in recent years. As a part of a video, title can compel people to view. However, few scholars have studied the relationship between video trendiness and title at present. This work studies the influence of sentiment polarity of videos using Valence Aware Dictionary Sentiment Reasoner (VADER) and investigated the feasibility of the application of video titles text on YouTube trending videos research using Doc2Vec. It is found that the text in YouTube trend video titles possesses predictive value for video trendiness, but it requires advanced techniques such as deep learning for full exploitation. The sentiment polawrity in titles impacts the video views and this impact varies across video categories.
Keywords
YouTube, Trending Video, Sentiment Analysis, Text Vectorization, Logistic Regression
References
1. iiMedia, “2023 China Short Video Industry Market Operation Monitoring Report,” report.iimedia.cn, 2023. https://report.iimedia.cn/repo13-0/43328.html
2. L. Ou, F. Zhang, and P. Chen, “Operation strategies of short video platforms of scientific journals from the perspective of communication studies: Taking Tik Tok, Bilibili, and WeChat Channel as examples,” Chinese Journal of Scientific and Technical Periodicals, vol. 33, no. 58–66, Jul. 2021, doi: https://doi.org/10.11946/cjstp.202107050536.
3. Insider Intelligence, “Most Trusted Social Media Platforms for Finding and Purchasing Products According to US Consumers, May 2022 (% of respondents),” Insider Intelligence, 2022. https://www.insiderintelligence.com/chart/257803/most-trusted-social-media-platforms-finding-purchasing-products-according-us-consumers-may-2022-of-respondents
4. YouTube Help, “Trending on YouTube - YouTube Help,” Google.com, 2019. https://support.google.com/youtube/answer/7239739?hl=en
5. The YouTube Team, “An update to dislikes on YouTube,” blog.youtube, Nov. 10, 2021. https://blog.youtube/news-and-events/update-to-youtube/
6. C. Hutto and E. Gilbert, “VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text,” Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, no. 1, pp. 216–225, May 2014, doi: https://doi.org/10.1609/icwsm.v8i1.14550.
7. S. Elbagir and J. Yang, “Twitter sentiment analysis using natural language toolkit and VADER sentiment,” in Proceedings of the International MultiConference of Engineers and Computer Scientists 2019, 2019, p. 16.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the International Conference on Global Politics and Socio-Humanities
- ISBN (Print)
- 978-1-83558-365-4
- ISBN (Online)
- 978-1-83558-366-1
- Published Date
- 19 April 2024
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/29/20230835
- Copyright
- 19 April 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited