从全球公民的角度成功实施数字接触者追踪以遏制COVID-19的挑战:一项文本分析研究

S. Praveen, Rajesh Ittamalla, Dhilip Subramanian
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引用次数: 10

摘要

目的“数字接触追踪”一词经常会遇到不同的反应:热烈支持的反应,既不支持也不反对的反应,以及强烈反对的反应。那些支持数字接触者追踪概念的人保证其有效性,以及如何通过实施数字接触者追踪来简化复杂的过程,而那些反对它的人经常批评它所具有的迫在眉睫的威胁。然而,如果没有得到广大民众的支持,任何政府都很难完美地实施数字接触追踪。本文的目的是利用机器学习分析不同大陆对使用数字接触者追踪作为遏制COVID-19措施的不同看法。设计/方法/方法对于分析,数据是从Twitter上收集的。包含标签和“数字接触追踪”一词的推文使用Python库Tweepy进行抓取。从2020年3月到2020年8月,收集了四大洲国家的推文。这项研究总共使用了70,212条推文。使用机器学习算法,作者检测了属于每个大洲的所有推文的情绪。结构主题模型用于理解全球公民在分享他们对数字接触追踪的意见时所提出的总体重大问题。本研究分为两部分进行。一项研究结果显示,北美和欧洲公民对“数字接触追踪”持更多负面看法。亚洲和南美大陆的公民对数字追踪接触者的态度大多持中立态度。总的来说,只有33%的推文与接触者追踪呈正相关,而52%的推文是中立的。研究二的结果表明,担心政府使用接触者追踪来监视其人民,不安全的感觉以及接触者追踪被用来推动议程等因素是与整体公众有关的三大问题。独创性/价值尽管关于如何有效地实施接触追踪进行了大量研究,但探索实施接触追踪的可能性和挑战的研究却很少。这项研究填补了这一空白。
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Challenges in successful implementation of Digital contact tracing to curb COVID-19 from global citizen's perspective: a text analysis study
Purpose The word “digital contact tracing” is often met with different reactions: the reaction that passionately supports it, the reaction that neither supports nor oppose and the one that vehemently opposes it. Those who support the notion of digital contact tracing vouch for its effectiveness and how the complicated process can be made simpler by implementing digital contact tracing, and those who oppose it often criticize the imminent threats it possesses. However, without earning the support of a large population, it would be difficult for any government to implement digital contact tracing to perfection. The purpose of this paper is to analyze, using machine learning, how different continents have different sentiments over digital contact tracing being used as a measure to curb COVID-19. Design/methodology/approach For the analysis, data were collected from Twitter. Tweets that contain the hashtag and the word “digital contact tracing” were crawled using Python library Tweepy. Tweets across countries of four continents were collected from March 2020 to August 2020. In total, 70,212 tweets were used for this study. Using the machine learning algorithm, the authors detected the sentiment of all the tweets belonging to each continent. Structural topic modeling was used to understand the overall significant issues people voice out by global citizens while sharing their opinions on digital contact tracing. Findings This study was conducted in two parts. Study one results show that North American and European citizens share more negative sentiments toward “digital contact tracing.” The citizens of the Asian and South American continent mostly share neutral sentiments regarding the digital contact tracing. Overall, only 33% of total tweets were positively related to contact tracing, whereas 52% of the total tweets were neutral. Study two results show that factors such as fear of government using contact tracing to spy on its people, the feeling of being unsafe and contact tracing being used to promote an agenda were the three major issues concerning the overall general public. Originality/value Despite numerous studies being conducted about how to implement the contact tracing efficiently, minimal studies were done to explore the possibility and challenges in implementing it. This study fills the gap.
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