The Internet has significantly affected the increase of social media users. Nowadays, informative content is presented along with entertainment on the web. Highlighting environmental issues on social networks is crucial, given their significance as major global problems. This study examines the popularity determinants for short environmental videos on social media, focusing on the comparative influence of raw video features and viewer engagement metrics. We collected a dataset of videos along with associated popularity metrics such as likes, views, shares, and comments per day. We also extracted video characteristics, including duration, text post length, emotional and sentiment analysis using the VADER and text2emotion models, and color palette brightness. Our analysis consisted of two main experiments: one evaluating the correlation between raw video features and popularity metrics and another assessing the impact of viewer comments and their sentiments and emotions on video popularity. We employed a ridge regression classifier with standard scaling to predict the popularity, categorizing videos as popular or not based on the median views and likes per day. The findings reveal that viewer comments and reactions (accuracy of 0.8) have a more substantial influence on video popularity compared to raw video features (accuracy of 0.67). Significant correlations include a positive relationship between the emotion of sadness in posts and the number of likes and negative correlations between sentiment scores, and both likes and shares. This research highlights the complex relationship between content features and public perception in shaping the popularity of environmental messages on social media.

翻译：互联网显著促进了社交媒体用户的增长。如今，网络内容在提供娱乐的同时也承载着信息传播功能。鉴于环境问题作为全球性重大议题的重要性，在社交网络中突出环境议题至关重要。本研究探讨了社交媒体中环境类短视频流行度的决定因素，重点比较了原始视频特征与观众参与度指标的影响。我们收集了包含每日点赞量、观看量、分享量和评论量等流行度指标的视频数据集，同时提取了视频特征，包括时长、文本帖长度、使用VADER和text2emotion模型进行的情感与情绪分析，以及调色板亮度。我们的分析包含两个主要实验：一是评估原始视频特征与流行度指标的相关性，二是考察观众评论及其情感倾向对视频流行度的影响。我们采用标准缩放的岭回归分类器预测流行度，依据每日观看量和点赞量的中位数将视频划分为流行与非流行两类。研究结果表明，相较于原始视频特征（准确率0.67），观众评论与互动反应（准确率0.8）对视频流行度的影响更为显著。其中显著相关性包括：帖子中悲伤情绪与点赞量呈正相关，情感倾向得分与点赞量及分享量均呈负相关。本研究揭示了内容特征与公众认知在塑造社交媒体环境信息传播效果方面存在的复杂关联。