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Opinions on Homeopathy for COVID-19 on Twitter. Twitter 上对 COVID-19 顺势疗法的看法。
Pub Date : 2022-06-01 Epub Date: 2022-06-26 DOI: 10.1145/3501247.3531575
Jeevith Bopaiah, Kiran Garimella, Ramakanth Kavuluru

Homeopathy is a medical system originating in Germany more than 200 years ago. Based on prior investigations, mainstream health agencies and medical research communities indicate that there is little evidence that homeopathy can be an effective treatment for any specific health condition. However, it continues to be practiced as a popular form of alternative medicine in many countries, even during the ongoing COVID-19 pandemic. In this paper, we mine opinions on homeopathy for COVID-19 expressed in Twitter data. Our experiments are conducted with a dataset of nearly 60K tweets collected during a seven month period ending in July 2020. We first built text classifiers (linear and neural models) to mine opinions on homeopathy (positive, negative, neutral) from tweets using a dataset of 2400 hand-labeled tweets obtaining an average macro F-score of 81.5% for the positive and negative classes. We applied this model to identify opinions from the full dataset. Our results show that the number of unique positive tweets is twice that of the number of unique negative tweets; but when including retweets, there are 23% more negative tweets overall indicating that negative tweets are getting more retweets and better traction on Twitter. Using a word shift graph analysis on the Twitter bios of authors of positive and negative tweets, we observe that opinions on homeopathy appear to be correlated with political/religious ideologies of the authors (e.g., liberal vs nationalist, atheist vs Hindu). To our knowledge, this is the first study to analyze public opinions on homeopathy on any social media platform. Our results surface a tricky landscape for public health agencies as they promote evidence-based therapies and preventative measures for COVID-19.

顺势疗法是 200 多年前起源于德国的一种医疗体系。根据先前的调查,主流卫生机构和医学研究界指出,几乎没有证据表明顺势疗法可以有效治疗任何特定的健康问题。然而,即使在 COVID-19 大流行期间,顺势疗法作为一种流行的替代医学形式在许多国家仍在继续使用。在本文中,我们挖掘了 Twitter 数据中有关 COVID-19 顺势疗法的观点。我们使用截至 2020 年 7 月的 7 个月期间收集的近 6 万条推文数据集进行了实验。我们首先建立了文本分类器(线性模型和神经模型),利用 2400 个手工标记的推文数据集挖掘推文中关于顺势疗法的观点(正面、负面、中立),结果发现正面和负面类别的平均宏观 F 分数为 81.5%。我们将该模型用于识别全部数据集中的观点。我们的结果显示,独特的正面推文数量是独特的负面推文数量的两倍;但如果将转发计算在内,负面推文的总体数量要多出 23%,这表明负面推文在 Twitter 上获得了更多的转发和更好的关注度。通过对正面推文和负面推文作者的推特简历进行词移图分析,我们发现,对顺势疗法的看法似乎与作者的政治/宗教意识形态(如自由主义与民族主义、无神论者与印度教)相关。据我们所知,这是第一项分析公众在任何社交媒体平台上对顺势疗法的看法的研究。我们的研究结果表明,公共卫生机构在推广循证疗法和 COVID-19 预防措施时面临着棘手的问题。
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引用次数: 0
WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26 - 29, 2022 第14届ACM网络科学会议2022,西班牙巴塞罗那,2022年6月26日至29日
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引用次数: 0
An Initial Study of Depression Detection on Mandarin Textual through BERT Model 基于BERT模型的汉语语篇抑郁检测初探
Pub Date : 2022-01-01 DOI: 10.1145/3501247.3539015
Yung Teck Kiong
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引用次数: 0
WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021 WebSci '21:第13届ACM网络科学会议2021,虚拟事件,英国,2021年6月21日至25日
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引用次数: 0
Algorithmic ecologies of justice: Using computational social science methods to co-design tools of resistance, resilience and care with communities 正义的算法生态:使用计算社会科学方法与社区共同设计抵抗、恢复和关怀工具
Pub Date : 2021-01-01 DOI: 10.1145/3462741.3466674
Yadira Sanchez Benitez
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引用次数: 0
In conversation with Martha Lane Fox and Wendy Hall on the Future of the Internet 在与玛莎·莱恩·福克斯和温迪·霍尔关于互联网未来的谈话中
Pub Date : 2021-01-01 DOI: 10.1145/3447535.3466175
M. Fox
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引用次数: 0
WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, 21-25 June, 2021, Companion Publication WebSci '21:第13届ACM网络科学会议2021,虚拟事件,英国,2021年6月21日至25日,同伴出版
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引用次数: 0
2nd Data Literacy Workshop 第二届数据素养工作坊
Pub Date : 2021-01-01 DOI: 10.1145/3462741.3466659
Manuel León Urrutia, J. Walker
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引用次数: 0
ICTs, Social Media and Tendencies of Radicalization in the Sahel: [Keynote Web Science Workshop DigDivDigHum-20] 信息通信技术、社会媒体与萨赫勒地区激进化趋势:[网络科学研讨会主题DigDivDigHum-20]
Pub Date : 2020-07-06 DOI: 10.1145/3394332.3402820
M. D. Bruijn
The African Sahel has become a stage for increasing violent conflict since 2009. It is probably no co-incidence that the upsurge of these conflicts went together with the increase in digital connectivity in the region. In this paper I explore the relationship between radicalization, conflict and access to ICTs and social media in the Sahel. First I sketch how the social landscape has changed due to the advancement of the ‘digital highway’. We will see how the socalled hybrid organization, the democratization forces of the digital have influenced the formation of trans-national communities and through these influenced conflict dynamics. The second part of the paper explores the increase in violence and the potential role of the digital networks in the upsurge of this violence. Radicalization in different forms (ethnic, religious, national) is an important effect of the information flows that travel the digital networks and that seems to influence the increasing (ugly) violence.
自2009年以来,非洲萨赫勒地区已成为暴力冲突不断增加的舞台。这些冲突的激增与该地区数字连接的增加同时发生,这可能不是巧合。在本文中,我探讨了萨赫勒地区激进化、冲突与信息通信技术和社交媒体使用之间的关系。首先,我概述了由于“数字高速公路”的发展,社会景观发生了怎样的变化。我们将看到所谓的混合组织,数字化的民主化力量如何影响跨国社区的形成,并通过这些影响冲突的动态。论文的第二部分探讨了暴力的增加和数字网络在这种暴力高涨中的潜在作用。不同形式(种族、宗教、民族)的激进化是数字网络信息流的重要影响,似乎影响了日益增加的(丑恶的)暴力。
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引用次数: 1
Power Inequities: Observations on the Development of Information and Communication Technologies, from an African Place 权力不平等:从非洲地方对信息和通信技术发展的观察
Pub Date : 2020-07-06 DOI: 10.1145/3394332.3402830
G. Stam
Using power to achieve political goals is not a new strategy. This paper unpacks observations about the use of power in the development of information and communication technologies (ICTs) in Africa. This analysis shows the use of unequal powers by non-African academics, development actors and technical experts (including the power to set the agenda, fund and build), embedded deeply in the current structures of ICT development for Africa. It also looks at how benefits accrue to non-local development actors and outlines some of the unmitigated risks for Africa.
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引用次数: 7
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Proceedings of the ... ACM Web Science Conference. ACM Web Science Conference
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