论文标题
在线社交媒体上分析Covid-19：趋势，情感和情感
Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions
论文作者
论文摘要
在撰写本文时，冠状病毒病的持续大流行（Covid-19）对社会，经济和人们的日常生活造成了严重影响。人们不断在社交媒体上对大流行的各个方面发表意见，使用户生成的内容成为理解公众情绪和关注的重要来源。在本文中，我们根据Twitter和Weibo帖子在2020年1月20日至2020年5月11日之间根据Twitter和Weibo帖子对美国人民和中国人的情感轨迹进行全面分析。具体来说，通过识别人们的情感，情感，即愤怒，愤怒，厌恶，恐惧，幸福，幸福，令人惊讶）和情感上的触发（例如，曾经是一种激怒的人，都会遇到的动作，以至于遇到了痛苦的范围。 Covid-19的时间。通过将两个截然不同的国家（中国和联合国家）形成鲜明对比，我们揭示了人们对不同文化中Covid-19的观点的巨大差异。我们的研究提供了一种计算方法，可以实时揭示公众对大流行的情绪和关注，这有可能帮助决策者更好地了解人们的需求，从而实现最佳政策。
At the time of writing, the ongoing pandemic of coronavirus disease (COVID-19) has caused severe impacts on society, economy and people's daily lives. People constantly express their opinions on various aspects of the pandemic on social media, making user-generated content an important source for understanding public emotions and concerns. In this paper, we perform a comprehensive analysis on the affective trajectories of the American people and the Chinese people based on Twitter and Weibo posts between January 20th, 2020 and May 11th 2020. Specifically, by identifying people's sentiments, emotions (i.e., anger, disgust, fear, happiness, sadness, surprise) and the emotional triggers (e.g., what a user is angry/sad about) we are able to depict the dynamics of public affect in the time of COVID-19. By contrasting two very different countries, China and the Unites States, we reveal sharp differences in people's views on COVID-19 in different cultures. Our study provides a computational approach to unveiling public emotions and concerns on the pandemic in real-time, which would potentially help policy-makers better understand people's need and thus make optimal policy.
