Fight against the mandatory Covid-19 immunity passport on Twitter: a natural language processing study

mandatory vaccination public policy public health measures COVID-19 vaccine social media analysis Twitter natural language processing deep learning social media public health vaccination immunity social distancing neural network effectiveness

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Communicable diseases--Vaccination Preventive inoculation Inoculation Preventive inoculation Diseases--Vaccination

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Jessica S. M. Gable et al., « Fight against the mandatory Covid-19 immunity passport on Twitter: a natural language processing study », HAL-SHS : sociologie, ID : 10.2196/49435

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Background: To contain and curb the spread of COVID-19, the governments of countries around the world have used different strategies (lockdown, mandatory vaccination, immunity passports, voluntary social distancing, etc).Objective: This study aims to examine the reactions produced by the public announcement of a binding political decision presented by the president of the French Republic, Emmanuel Macron, on July 12, 2021, which imposed vaccination on caregivers and an immunity passport on all French people to access restaurants, cinemas, bars, and so forth.Methods: To measure these announcement reactions, 901,908 unique tweets posted on Twitter (Twitter Inc) between July 12 and August 11, 2021, were extracted. A neural network was constructed to examine the arguments of the tweets and to identify the types of arguments used by Twitter users.Results: This study shows that in the debate about mandatory vaccination and immunity passports, mostly “con” arguments (399,803/847,725, 47%; χ26=952.8; P

Fight against the mandatory Covid-19 immunity passport on Twitter: a natural language processing study

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