Users’ comments on Cop 28 videos published in international media channels on YouTube: an analytical study using network analysis and sentiment analysis tools

Document Type : Original Article

Authors

1 Lecturer in the Department of Journalism, Faculty of Mass Communication, Cairo University.

2 Assistant Professor of Journalism at the Faculty of Mass Communication, Suez University

Abstract

The study aimed to analyze users' comments on foreign media channels’ YouTube videos during the COP28 climate summit. This analysis was applied to a sample of the most interactive and commented-upon videos from prominent global foreign news channels, newspapers, and news agencies. These channels included The Guardian, BBC News, NBC News, The Associated Press, and AFP News Agency. The sample consisted of 14 videos with a total of 6,888 comments.
The study utilized two analytical tools: Social Network Analysis and Sentiment Analysis. Here are the key findings:

Network Variation:
The shape of comment networks in the video sample varied.
Most networks exhibited medium sizeand average interaction.
However, two networks associated with BBC Newsstood out due to their larger size (approximately a thousand nodes and links).
Network Metrics:
The network metrics were also elevated for comment networks within videos from the same BBC News
These metrics indicate the robustness and connectivity of the comment networks.
Sentiment Analysis:
Despite only 6%of English comments being explicitly positive according to the VADER library, most comments in English conveyed positive sentiments toward the video content.
In contrast, 6%of French and 71.4% of German comments expressed positive sentiments.
Interestingly, the German language did not include any comments with positive sentiments.

In summary, the study sheds light on the dynamics of user engagement and sentiment across different foreign media channels during the COP28 summit on YouTube. The findings highlight the impact of channel popularity and language preferences on comment interactions and sentiment expression.                              
 
 
 
 

Keywords

Files

Share

How to cite

Statistics