This study covers the influence of positive and negative titles of YouTube videos on user behavior regarding views, likes, dislikes and comments. For this purpose, daily records of the top trending YouTube videos in Germany were analyzed. It was found that positive terms have positive influence on liking and viewing trend videos. Negative terms have influence on disliking and commenting. Furthermore, it was examined which words were used most frequently in successful and not so successful trend videos. This study shows that YouTube is being utilized for the consumption of entertainment series, music videos and sports content. In addition, videos with Turkish titles make up a significant part of the best placed YouTube videos in Germany. These results were obtained via chi-squared tests and word clouds.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Literature review
- Methodology
- Identifying successful topics
- Data sets
- Data preparation
- Results
- Chi-squared tests
- Word clouds
- Discussion
- Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This study investigates the impact of positive and negative titles of YouTube videos on user engagement, specifically looking at views, likes, dislikes, and comments. It aims to identify terms that contribute to a video's success in the YouTube trending list.
- Influence of title polarity (positive/negative) on user behavior
- Frequency of words in successful and unsuccessful trending videos
- Analysis of popular video content categories on YouTube
- Correlation between specific terms and video success
- Application of sentiment analysis to understand YouTube user engagement
Zusammenfassung der Kapitel (Chapter Summaries)
- Introduction: Introduces the topic of YouTube trends, its significance, and the research question: Are there specific terms that lead to a video's success in the trends?
- Literature review: Examines existing research on sentiment analysis and popularity prediction on YouTube, highlighting the lack of focus on the influence of title terms on trending videos.
- Methodology: Describes the methods used, including chi-squared tests to assess the correlation between title polarity and success, and word clouds to visualize the most common terms in successful and unsuccessful videos.
- Results: Presents the results of the chi-squared tests, showing statistically significant correlations between title polarity and user engagement metrics (views, likes, dislikes, comments). Also, introduces the word cloud analysis, comparing frequent terms in videos with high and low view counts.
Schlüsselwörter (Keywords)
This study explores YouTube trends, sentiment analysis, video title polarity, user engagement, chi-squared tests, word clouds, successful videos, trending videos, and video marketing.
- Quote paper
- Robert Komorowsky (Author), Thomas Blanck (Author), 2018, Analysis of Terms Which Contribute to the Success of YouTube Trend Videos, Munich, GRIN Verlag, https://www.grin.com/document/437786
