@ARTICLE{jiang2020political,
  author =       {Julie Jiang and Emily Chen and Shen Yan and Kristina Lerman and
Emilio Ferrara},
  title =        {Political polarization drives online conversations about
COVID-19 in the United States},
  journal =      {Human Behavior and Emerging Technology},
  year =         {2020},
  volume =       {2},
  number =       {},
  pages =        {200-211},
  month =        {jul},
  note =         {},
  abstract =     {Since the outbreak in China in late 2019, the novel coronavirus (COVID-19) has spread around the world and has come to dominate online conversations. By linking
2.3 million Twitter users to locations within the United States, we study in aggregate how political characteristics of the locations affect the evolution of online discussions
about COVID-19. We show that COVID-19 chatter in the United States is largely shaped by political polarization. Partisanship correlates with sentiment toward government measures and the tendency to share health and prevention messaging. Crossideological interactions are modulated by user segregation and polarized network
structure. We also observe a correlation between user engagement with topics related to public health and the varying impact of the disease outbreak in different U.S. states.
These findings may help inform policies both online and offline. Decision-makers may calibrate their use of online platforms to measure the effectiveness of public health
campaigns, and to monitor the reception of national and state-level policies, by tracking in real-time discussions in a highly polarized social media ecosystem},
  keywords =     {covid19},
  doi =          {10.1002/hbe2.202},
}

{"_id":"abJp3qe2hGdvPJKQ3","bibbaseid":"jiang-chen-yan-lerman-ferrara-politicalpolarizationdrivesonlineconversationsaboutcovid19intheunitedstates-2020","author_short":["Jiang, J.","Chen, E.","Yan, S.","Lerman, K.","Ferrara, E."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Julie"],"propositions":[],"lastnames":["Jiang"],"suffixes":[]},{"firstnames":["Emily"],"propositions":[],"lastnames":["Chen"],"suffixes":[]},{"firstnames":["Shen"],"propositions":[],"lastnames":["Yan"],"suffixes":[]},{"firstnames":["Kristina"],"propositions":[],"lastnames":["Lerman"],"suffixes":[]},{"firstnames":["Emilio"],"propositions":[],"lastnames":["Ferrara"],"suffixes":[]}],"title":"Political polarization drives online conversations about COVID-19 in the United States","journal":"Human Behavior and Emerging Technology","year":"2020","volume":"2","number":"","pages":"200-211","month":"jul","note":"","abstract":"Since the outbreak in China in late 2019, the novel coronavirus (COVID-19) has spread around the world and has come to dominate online conversations. By linking 2.3 million Twitter users to locations within the United States, we study in aggregate how political characteristics of the locations affect the evolution of online discussions about COVID-19. We show that COVID-19 chatter in the United States is largely shaped by political polarization. Partisanship correlates with sentiment toward government measures and the tendency to share health and prevention messaging. Crossideological interactions are modulated by user segregation and polarized network structure. We also observe a correlation between user engagement with topics related to public health and the varying impact of the disease outbreak in different U.S. states. These findings may help inform policies both online and offline. Decision-makers may calibrate their use of online platforms to measure the effectiveness of public health campaigns, and to monitor the reception of national and state-level policies, by tracking in real-time discussions in a highly polarized social media ecosystem","keywords":"covid19","doi":"10.1002/hbe2.202","bibtex":"@ARTICLE{jiang2020political,\n author = {Julie Jiang and Emily Chen and Shen Yan and Kristina Lerman and\nEmilio Ferrara},\n title = {Political polarization drives online conversations about\nCOVID-19 in the United States},\n journal = {Human Behavior and Emerging Technology},\n year = {2020},\n volume = {2},\n number = {},\n pages = {200-211},\n month = {jul},\n note = {},\n abstract = {Since the outbreak in China in late 2019, the novel coronavirus (COVID-19) has spread around the world and has come to dominate online conversations. By linking\n2.3 million Twitter users to locations within the United States, we study in aggregate how political characteristics of the locations affect the evolution of online discussions\nabout COVID-19. We show that COVID-19 chatter in the United States is largely shaped by political polarization. Partisanship correlates with sentiment toward government measures and the tendency to share health and prevention messaging. Crossideological interactions are modulated by user segregation and polarized network\nstructure. We also observe a correlation between user engagement with topics related to public health and the varying impact of the disease outbreak in different U.S. states.\nThese findings may help inform policies both online and offline. Decision-makers may calibrate their use of online platforms to measure the effectiveness of public health\ncampaigns, and to monitor the reception of national and state-level policies, by tracking in real-time discussions in a highly polarized social media ecosystem},\n keywords = {covid19},\n doi = {10.1002/hbe2.202},\n}\n","author_short":["Jiang, J.","Chen, E.","Yan, S.","Lerman, K.","Ferrara, E."],"key":"jiang2020political","id":"jiang2020political","bibbaseid":"jiang-chen-yan-lerman-ferrara-politicalpolarizationdrivesonlineconversationsaboutcovid19intheunitedstates-2020","role":"author","urls":{},"keyword":["covid19"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://bibbase.org/network/files/iNQKC4NCiGYaef6D9","dataSources":["s6gd5K68AyhpXexMs","z7QqF2A8ou3hfi75J","6cGkqwunjdA9N7xco","2RX7MNkKAsdgHwq9X","W9wiZPEd3CMo9Zvyj","hzhtTNPmfXQ9gwTGK","6h4p3KcA7HgFLQpDk"],"keywords":["covid19"],"search_terms":["political","polarization","drives","online","conversations","covid","united","states","jiang","chen","yan","lerman","ferrara"],"title":"Political polarization drives online conversations about COVID-19 in the United States","year":2020}