key: cord-1032013-6ffgg005 authors: Anderson, Mackenzie; Karami, Amir; Bozorgi, Parisa title: Social media and COVID‐19: Can social distancing be quantified without measuring human movements? date: 2020-10-22 journal: Proc Assoc Inf Sci Technol DOI: 10.1002/pra2.378 sha: f6918baf9e9e1b56ebad6c960c36fde53f81cace doc_id: 1032013 cord_uid: 6ffgg005 The COVID‐19 outbreak has posed significant threats to international health and the economy. In the absence of treatment for this virus, public health officials asked the public to practice social distancing to reduce the number of physical contacts. However, quantifying social distancing is a challenging task and current methods are based on human movements. We propose a time and cost‐effective approach to measure how people practice social distancing. This study proposes a new method based on utilizing the frequency of hashtags supporting and encouraging social distancing for measuring social distancing. We have identified 18 related hashtags and tracked their trends between Jan and May 2020. Our evaluation results show that there is a strong correlation (p < .05) between our findings and the Google social distancing report. cost-effective approach to measure how people practice social distancing. This study proposes a new method based on utilizing the frequency of hashtags supporting and encouraging social distancing for measuring social distancing. We have identified 18 related hashtags and tracked their trends between Jan and May 2020. Our evaluation results show that there is a strong correlation (p < .05) between our findings and the Google social distancing report. COVID-19, social media, social distancing, twitter The World Health Organization (WHO) announced the outbreak of COVID-19 to be a public Health Emergency in January 2020 (WHO, n.d.) . As of May 30, 2020, the number of positive cases was more than 6 million globally, with over 369,000 deaths. 1 The outbreak has posed significant threats to international health and the economy. In the absence of treatment for this virus, public health officials asked the public to practice social distancing to reduce the amount of physical contact. In addition, social distancing helps to flatten the curve of positive COVID-19 cases. However, people have a desire for social interactions (Cohen, 2004) . While all US states instituted social distancing measures, measuring social distancing is a challenging task. In addition, developing traditional methods (e.g., survey) is costly and time-consuming. Some companies and institutes such as Google have proposed methods to quantify social distancing based on measuring distances and movements. Social media has become a mainstream channel of communication where users share and exchange information (Sha, Hasan, Mohler, & Brantingham, 2020) . In 2019, 72% of U.S. adults use at least one social media site. 2 In the last decade, social media platforms have grown in popularity, and now Facebook, Twitter, and Instagram are readily available on mobile devices, continuously connecting users to a stream of information (Karami, Lundy, Webb, & Dwivedi, 2020) . In public health surveillance, social media can provide communication in real time and at relatively low cost, monitor public response to health issues, track disease outbreak and infectious disease. Public health experts have investigated social media for different health issues such as diet, diabetes, obesity, exercise (Karami, Dahl, Turner- LGBT health (Karami, Webb, & Kitzie, 2018) . Social distancing was measured by calculating movements shared on social media during the COVID-19 epidemic (Xu, Dredze, & Broniatowski, 2020) . While the current methods are based on measuring human movements, this study proposes a new method based on utilizing the frequency of tweets supporting and encouraging social distancing for measuring social distancing. This research proposed a simple method without measuring human movements. The method is based on the idea of measuring the frequency of tweets supporting and encouraging social distancing. The hashtags were identified based on qualitatively searching hashtags in Twitter, Google, and websites (e.g., https://www. digitaltrends.com/social-media/all-the-hashtags-you-needto-know-about-social-distancing/). We selected the hashtags that had a higher chance to be supportive and encouraging tweets. This process provided a list of 18 hashtags such as #StayHome utilized to support or encourage social distancing (Table 1) . For example, an American actor, Morgan Freeman, posted a tweet containing #StayHome (Figure 1) . We have collected the frequency of the hashtags in US from Jan, 2020 to May 26, 2020 (Figure 2) . We used Brandwatch, a third-party social media data provider, to obtain the data. The data will be available on the web site of the first author (Figures 1 and 2) . provides insights into what has changed in response to policies aimed at combating COVID-19. This report shows movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential. We used the correlation function in R to investigate the correlation between the number of hashtags and the recorded movement by Google in different places. Our findings show that the number of hashtags had an increasing trend in March and then a decreasing trend in April and May. Figure 3 shows the total frequency of hashtags with the highest and lowest frequency for #StayHome and #Quaranthriving, respectively. Our evaluation analysis shows a meaningful correlation (p < .05) between the total frequency of the 18 hashtags and the Google movement trends (Figure 4 ). This evaluation shows that there is a positive correlation (R > 0) between the frequency of hashtags and residential movements and a negative correlation (R < 0) between the frequency of tweets and non-residential movements. Our findings show that US people used more supportive and encouraging hashtags for social distancing when they were at residential places and practiced social distancing and utilized less supportive and encouraging hashtags for social distancing when they were not at residential places. So, the frequency of hashtags can be used for quantifying social distancing during the COVID-19 pandemic. This study proposed a cost and time effective approach to measure social distancing during the COVID-19 pandemic. Our findings show a strong correlation between the frequency of hashtags supporting and encouraging social distancing and the Google social distancing report. This research offers a new dimension for social distancing analysis during a pandemic and assessing social distancing policies. While this paper provided a new insight on measuring social distancing, it has some limitations. First, we did not collect non-English tweets posted in US. Second, the evaluation process was limited to a national level analysis. Third, we selected one source for comparison. Future work could utilize non-English tweets, extend the evaluation process to state and county levels, and use other social distancing calculations. This work is partially supported by the College of Information and Communication Internal Collaboration Grant and the Big Data Health Science Center (BDHSC) at the University of South Carolina. ENDNOTES 1 https://www.worldometers.info/coronavirus/ 2 https://www.pewresearch.org/internet/fact-sheet/social-media/ 3 https://www.google.com/covid19/mobility/ Social relationships and health Characterizing diabetes, diet, exercise, and obesity comments on twitter Twitter and research: A systematic literature review through text mining An exploratory study of (#) exercise in the Twittersphere Characterizing transgender health issues in twitter Dynamic topic modeling of the COVID-19 Twitter narrative among US governors and cabinet executives Computational content analysis of negative tweets for obesity, diet, diabetes, and exercise. Proceedings of the Association for Information Science and Technology Dietary pattern recognition on Twitter: A case example of before, during, and after four natural disasters. Natural Hazards Rolling updates on coronavirus disease (COVID-19 Social media and COVID-19: Can social distancing be quantified without measuring human movements?