论文标题
中国社交媒体上的关注动态在19次大流行期间
Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic
论文作者
论文摘要
了解大流行期间社交媒体上的注意力动态可以帮助政府最大程度地减少影响。我们重点介绍了Covid-19如何影响最大的中国微博网站Sina Weibo的注意力动态。我们研究实时热门搜索列表（HSL），该搜索列表（HSL）根据SINA Weibo搜索的数量提供了最受欢迎的50个主题标签的排名。我们展示了流行病期间的特定事件，措施和发展如何影响不同种类的主题标签的出现以及HSL上的排名。在2020年1月20日左右宣布了人类之间的疾病传播时，HSL的相关标签显着增加了相关的主题标签。然后，很快到达了与共同相关的主题标签占HSL的30-70％的情况，但内容变化。我们分析了主题标题主题在研究的时间范围内如何变化，并得出结论，到2月12日和3月12日分隔了三个时期。在第1期中，我们看到了强烈的主题相关性和主题标签的聚类；在周期2中，相关性被削弱，没有聚类模式。在周期3中，我们看到了聚类的潜力，而不如周期1中的强度。我们通过测量列表上的排名动力学和寿命进一步探索HSL的动力学。这样，我们可以获取有关注意力衰减的信息，这对于关于政府措施的时间安排以实现永久意识的决定至关重要。此外，我们的观察结果表明，由于COVID-19相关的主题标签，HSL的前15名排名中的排名差异异常更高，这揭示了平台提供商算法干预的可能性。
Understanding attention dynamics on social media during pandemics could help governments minimize the effects. We focus on how COVID-19 has influenced the attention dynamics on the biggest Chinese microblogging website Sina Weibo during the first four months of the pandemic. We study the real-time Hot Search List (HSL), which provides the ranking of the most popular 50 hashtags based on the amount of Sina Weibo searches. We show how the specific events, measures and developments during the epidemic affected the emergence of different kinds of hashtags and the ranking on the HSL. A significant increase of COVID-19 related hashtags started to occur on HSL around January 20, 2020, when the transmission of the disease between humans was announced. Then very rapidly a situation was reached where COVID-related hashtags occupied 30-70% of the HSL, however, with changing content. We give an analysis of how the hashtag topics changed during the investigated time span and conclude that there are three periods separated by February 12 and March 12. In period 1, we see strong topical correlations and clustering of hashtags; in period 2, the correlations are weakened, without clustering pattern; in period 3, we see a potential of clustering while not as strong as in period 1. We further explore the dynamics of HSL by measuring the ranking dynamics and the lifetimes of hashtags on the list. This way we can obtain information about the decay of attention, which is important for decisions about the temporal placement of governmental measures to achieve permanent awareness. Furthermore, our observations indicate abnormally higher rank diversity in the top 15 ranks on HSL due to the COVID-19 related hashtags, revealing the possibility of algorithmic intervention from the platform provider.
