中文摘要：

[目的／意义]新媒体环境下的微博舆情传播态势模型研究对促进网络舆情理论研究向纵深发展具有重要理论意义、对加强网络舆情监管具有较强的实践意义。[方法／过程]从信息生态视角出发，提出了新媒体环境下微博舆情传播影响因素并构建了微博舆情传播态势模型，以新浪微博“埃博拉”热点话题数据为样本，采取编程及网络爬虫方式获取数据，采用SPSS工具对数据进行统计分析及模型验证。[结果／结论]通过相关分析得出新媒体环境下的微博真情信息环境热度、信息偏好、信息技术偏好、信息人影响力会正向影响新媒体微博舆情传播态势；图片信息会正向影响新媒体信息偏好，语音信息、视频信息、表情信息同新媒体信息偏好呈负相关关系；新媒体信息偏好会正向影响新媒体信息技术偏好；新媒体信息偏好会正向影响新媒体信息环境热度；粉丝数、关注数会正向影响新媒体信息人影响力等研究结论。

英文摘要：

[ Purpose/Significance ] Research on model of microblog public opinion dissemination trend under the new media environment is of great theoretical significance for further development of network public opinion theory and of practical significance for strengthening the supervision of the network public opinion. [ Method/Process] This paper advances the influencing factors of the Micro-blog public o- pinion dissemination under the new media environment, and constructs the model of Micro-blog public opinion dissemination trend. Based on the theory of information ecology, the article takes Sina Weibo hot topic ＂Ebola＂ for example, uses programming and web crawler to obtain data, and uses SPSS tools to conduct statistical data analysis and validate the model. [ Result/Conclusion] Correlation analysis shows that new media information environment heat, new media information preference, new media information technology preference, and new media information people influence have a positive influence on the trend of new media microblog public opinion dissemination. Picture information has a positive influence on new media information preference. Audio information, video information, facial expressioninformation are negatively correlated to the new media information preference. New media information preference has a positive influence on new media information technology preference. New media information preference has a positive influence on new media information en- vironment heat. Followers a~ld friends have a positive, influence on new media information people influence.