热词传播过程研究——以网民情绪与热词搜索量的关系为中心

Fei Wang, H. Yokoi
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引用次数: 0

摘要

互联网的普及时代预示着信息的大爆炸。各种热词频繁出现在网络上,引起了公众的关注。本研究的目的是澄清网民情绪与热词搜索量之间的联系,探索热词的传播过程。我们随机抽取了国内著名期刊和事件发布的10个热词,并对这些词在2021年1月1日至4月30日期间的动态进行了研究。我们从数据共享平台“百度指数”获取热词的搜索量数据,并将搜索趋势类型分为“分段”、“稳定”和“爆发”。我们从网络社交平台“微博”上收集网民提交的与这10个词相关的文本信息进行情绪分析,并将情绪占比与热词搜索量进行对比,分析相关性。本研究发现,网民情绪与热词搜索量之间存在联系,在波动明显的搜索趋势中更容易发现突出的情绪。这一结果有助于我们掌握热词的传播过程,同时了解民意,有助于稳定社会发展。
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Research on the Dissemination Process of Hot Words — Focus on the Connection between Netizens’ Emotions and the Search Volume of Hot Words
The era of the popularization of the Internet has heralded an explosion of information. Various hot words appear frequently online, arousing public attention. The purpose of this study is to clarify the connection between netizens’ emotions and the search volume of hot words to explore their dissemination process. We randomly selected 10 hot words that were released by famous journals and events in China, and examined the dynamics of these words from January 1 to April 30, 2021. We obtained the search volume data of hot words from the data-sharing platform “Baidu Index,” and classified the search trend types into “segmented,” “steady,” and “bursty.” We collected the text information submitted by netizens related to these 10 words from the online social platform “Weibo” for emotion analysis, and compared the proportion of emotions with the search volume of hot words to analyze the correlation. This study concludes that there is a connection between netizens’ emotions and the search volume of hot words, and it is easier to detect prominent emotions in search trends with obvious fluctuations. This result helps us grasp the dissemination process of hot words, and simultaneously understand public opinion, which will help stabilize social development.
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