论文标题
表征和比较跨语言,国家和平台之间的COVID-19错误信息
Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
论文作者
论文摘要
关于Covid-19的错误信息/虚假信息在世界各地的社交媒体上一直猖ramp。在这项研究中,我们在社交媒体上以多种语言(波斯语(波斯语),中文和英语对社交媒体上的COVID -19的错误信息/虚假信息进行了多个国家 - 伊朗,中国和美国(美国),以及Twitter,Twitter,Facebook,Instagram,Weibo和Whatsapp等多个平台上。错误的信息,尤其是关于全球大流行的错误,是一个全球问题,但在社交媒体上的Covid-19错误信息的研究很常见,将重点放在单一语言上,例如英语,一个国家,例如美国或一个平台,例如Twitter。我们利用机会主义抽样来编译200个特定的病毒病毒,但在1月1日至8月31日之间出现了这些语言,国家和平台上的错误信息。然后,我们根据错误信息的主题和该错误信息的根本根源分类了该系列。我们的多元文化和多语言团队观察到,社交媒体上的Covid-19错误信息的性质因不同语言/国家/地区的实质性而异,具体取决于文化,信仰/宗教,社交媒体的普及,平台类型,言论自由和人与政府的力量。我们观察到政治是该数据集中所有三种语言中大多数收集的错误信息的根源。我们进一步观察了政府对平台和平台限制对伊朗,中国和美国内容的限制的影响,及其对我们年龄关键问题的影响:我们如何控制错误信息而不使我们需要使政府负责的声音沉默?
Misinformation/disinformation about COVID-19 has been rampant on social media around the world. In this study, we investigate COVID-19 misinformation/ disinformation on social media in multiple languages - Farsi (Persian), Chinese, and English, about multiple countries - Iran, China, and the United States (US), and on multiple platforms such as Twitter, Facebook, Instagram, Weibo, and WhatsApp. Misinformation, especially about a global pandemic, is a global problem yet it is common for studies of COVID-19 misinformation on social media to focus on a single language, like English, a single country, like the US, or a single platform, like Twitter. We utilized opportunistic sampling to compile 200 specific items of viral and yet debunked misinformation across these languages, countries and platforms emerged between January 1 and August 31. We then categorized this collection based both on the topics of the misinformation and the underlying roots of that misinformation. Our multi-cultural and multilingual team observed that the nature of COVID-19 misinformation on social media varied in substantial ways across different languages/countries depending on the cultures, beliefs/religions, popularity of social media, types of platforms, freedom of speech and the power of people versus governments. We observe that politics is at the root of most of the collected misinformation across all three languages in this dataset. We further observe the different impact of government restrictions on platforms and platform restrictions on content in Iran, China, and the US and their impact on a key question of our age: how do we control misinformation without silencing the voices we need to hold governments accountable?