DOI: 10.21227/pd3n-yt06
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 229,011 tweets— Coverage : Global— Language : English (EN)— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Keywords and hashtags (keywords.tsv) : "corona", "#corona", "coronavirus", "#coronavirus", "covid", "#covid", "covid19", "#covid19", "covid-19", "#covid-19", "sarscov2", "#sarscov2", "sars cov2", "sars cov 2", "covid_19", "#covid_19", "#ncov", "ncov", "#ncov2019", "ncov2019", "2019-ncov", "#2019-ncov", "pandemic", "#pandemic" "#2019ncov", "2019ncov", "quarantine", "#quarantine", "flatten the curve", "flattening the curve", "#flatteningthecurve", "#flattenthecurve", "hand sanitizer", "#handsanitizer", "#lockdown", "lockdown", "social distancing", "#socialdistancing", "work from home", "#workfromhome", "working from home", "#workingfromhome", "ppe", "n95", "#ppe", "#n95", "#covidiots", "covidiots", "herd immunity", "#herdimmunity", "pneumonia", "#pneumonia", "chinese virus", "#chinesevirus", "wuhan virus", "#wuhanvirus", "kung flu", "#kungflu", "wearamask", "#wearamask", "wear a mask", "vaccine", "vaccines", "#vaccine", "#vaccines", "corona vaccine", "corona vaccines", "#coronavaccine", "#coronavaccines", "face shield", "#faceshield", "face shields", "#faceshields", "health worker", "#health worker", "health workers", "#healthworkers", "#stayhomestaysafe", "#coronaupdate", "#frontlineheroes", "#coronawarriors", "#homeschool", "#homeschooling", "#hometasking", "#masks4all", "#wfh", "wash ur hands", "wash your hands", "#washurhands", "#washyourhands", "#stayathome", "#stayhome", "#selfisolating", "self isolating"— Dataset updates : Everyday— Usage policy : As per Twitter's Developer PolicyDataset Files (the local time mentioned below is GMT+5:45)march20_march21.csv: March 20, 2020 01:37 AM - March 21, 2020 09:25 AMmarch21_march22.csv: March 21, 2020 09:27 AM - March 22, 2020 07:46 AMmarch22_march23.csv: March 22, 2020 07:50 AM - March 23, 2020 09:08 AMmarch23_march24.csv: March 23, 2020 09:11 AM - March 24, 2020 11:35 AMmarch24_march25.csv: March 24, 2020 11:42 AM - March 25, 2020 11:43 AMmarch25_march26.csv: March 25, 2020 11:47 AM - March 26, 2020 12:46 PM march26_march27.csv: March 26, 2020 12:51 PM - March 27, 2020 11:53 AM march27_march28.csv: March 27, 2020 11:56 AM - March 28, 2020 01:59 PMmarch28_march29.csv: March 28, 2020 02:03 PM - March 29, 2020 04:01 PMMarch 29, 2020 04:02 PM - March 30, 2020 02:00 PM: NOT AVAILABLEmarch30_march31.csv: March 30, 2020 02:01 PM - March 31, 2020 10:16 AMmarch31_april1.csv: March 31, 2020 10:20 AM - April 01, 2020 10:59 AMapril1_april2.csv: April 01, 2020 11:02 AM - April 02, 2020 12:19 PMapril2_april3.csv: April 02, 2020 12:21 PM - April 03, 2020 02:38 PMapril3_april4.csv: April 03, 2020 02:40 PM - April 04, 2020 11:54 AMapril4_april5.csv: April 04, 2020 11:56 AM - 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September 17, 2020 10:10 AMseptember17_september18.csv: September 17, 2020 10:10 AM - September 18, 2020 10:10 AMseptember18_september19.csv: September 18, 2020 10:10 AM - September 19, 2020 10:10 AMseptember19_september20.csv: September 19, 2020 10:10 AM - September 20, 2020 10:10 AMseptember20_september21.csv: September 20, 2020 10:10 AM - September 21, 2020 10:10 AMWhy are only tweet IDs being shared?Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.