联系我们

论文查询结果	返回搜索

论文编号：	13072
作者编号：	2120192989
上传时间：	2022/6/5 23:27:34
中文题目：	社交媒体中环保信息传播效果的影响因素研究——以新浪微博为例
英文题目：	Influencing Factors of the Effect of Environmental Information Dissemination in Social Media ——Taking Sina Weibo as an example
指导老师：	徐曼
中文关键字：	社交媒体；环保信息；传播效果；影响因素；新浪微博
英文关键字：	Social Media; Environmental Information; Dissemination Effects; Influencing Factors; Sina Weibo
中文摘要：	为遏制全球气候进一步变暖，世界各国都致力于减少碳排放。中国政府于 2020 年 9 月 22 日首次提出了碳中和目标，并指出推进“绿色低碳全民行动” 是实现碳中和的重点任务。要在全社会营造环保氛围，呼吁公众积极践行绿色 低碳的生活方式，环保信息的传播显然至关重要。社交媒体凭借着便捷性、互 动性、即时性等优势成为了信息传播的主要平台，在环保信息传播中也扮演着 重要角色，但目前社交媒体中环保信息的传播效果并不尽如人意。因此，挖掘 社交媒体中环保信息传播效果的影响因素，对于增强环保信息的传播效果具有 重要意义。 本研究以新浪微博为例，基于 ELM 模型，以转发数作为环保信息传播效果 的衡量指标，从信息内容特征、信源特征两个维度出发，构建了环保信息传播 效果的影响因素模型。以“低碳生活”为关键词，利用网络爬虫技术采集相关 研究数据，并基于情感词典判断文本的情感倾向，利用 LDA 主题模型对文本 进行主题挖掘。对处理后的数据进行描述性分析，总结当前环保信息的传播现 状，利用 SPSS 22.0 软件进行多元线性回归分析，验证各因素对环保信息传播 效果的影响。 研究发现@其他用户、话题标签、互动引导、呈现方式为图片、主题为环 保科普知识和线上公益活动，以及信源的粉丝数、明星效应对环保信息的传播 效果产生正向影响；信息的文本长度对环保信息的传播效果产生负向影响。最 后根据研究结论，提出增强社交媒体中环保信息传播效果的对策建议。
英文摘要：	To curb further global warming, countries around the world are committed to reducing carbon emissions. The Chinese government first proposed the goal of carbon neutrality on September 22, 2020, and pointed out that promoting "green and low- carbon actions for all" is a key task to achieve carbon neutrality. In order to create an environment for environmental protection in the whole society and call on the public to actively practice a green and low-carbon lifestyle, the dissemination of environmental information is obviously crucial. Social media has become a major platform for information dissemination with its advantages of convenience, interactivity and immediacy, and plays an important role in the dissemination of environmental information, but the current effect of environmental information dissemination in social media is not satisfactory. Therefore, it is important to explore the factors influencing the effectiveness of environmental information dissemination in social media in order to enhance the effectiveness of environmental information dissemination. This study takes Sina Weibo as an example, takes ELM model as the theoretical basis, uses the number of retweets as a measure of the effect of environmental information dissemination, and constructs a model of factors influencing the effect of environmental information dissemination from two dimensions: information content characteristics and source characteristics. Using "low-carbon life" as the keyword, we used web crawler technology to collect relevant research data, and judged the emotional tendency of the text based on the emotional dictionary, and used the LDA topic model to theme mining the text. The data were analyzed descriptively to summarize the current situation of environmental information dissemination, and multiple linear regression analysis was conducted using SPSS 22.0 software to verify the influence of various factors on the effectiveness of environmental information dissemination. It was found that @otherusers, hashtag, interactive guidance, images, topics of environmental knowledge and online public welfare activities, the number of fans of the source, and the celebrity effect had a positive effect on the dissemination effect of environmental information; the text length of the information had a negative effect on the dissemination effect of environmental information. Finally, according to the research findings, we propose targeted countermeasures to enhance the effect of environmental information dissemination in social media.
查看全文：	预览  下载(下载需要进行登录)