Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate

Crupi, Giuseppe; Mejova, Yelena; Tizzani, Michele; Paolotti, Daniela; Panisson, André

doi:10.48550/arxiv.2204.12943

Cited by 1 publication

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“…Xue et al 2020;Jiang et al 2021;Muric, Wu, and Ferrara 2021;Mønsted and Lehmann 2022). Of particular relevance, Crupi et al (2022) used similar methods to those studied here and found that the Italian vaccine debate on Twitter remained highly polarized between pro-vaccine and anti-vaccine/hesitant groups throughout the COVID-19 pandemic. Their work and others highlight the multifaceted nature of Twitter discussions regarding COVID-19, emphasizing the crucial role of polit-ical ideologies in shaping public sentiment and perceptions about the virus and its vaccine.…”

Section: Related Workmentioning

confidence: 61%

Curated and Asymmetric Exposure: A Case Study of Partisan Talk during COVID on Twitter

An,

Breuhaus,

Niu

et al. 2024

ICWSM

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Social media has been at the center of discussions about political polarization in the United States. However, scholars are actively debating both the scale of political polarization online, and how important online polarization is to the offline world. One question at the center of this debate is what interactions across parties look like online, and in particular 1) whether increasing the number of such interactions is likely to increase or reduce polarization, and 2) what technological affordances may make it more likely that these cross-party interactions benefit, rather than detract from, existing political challenges. The present work aims to provide insights into the latter; that is, we focus on providing a better understanding of how a set of 400,000 partisan users on a particular social media platform, Twitter, used the platform's affordances to interact within and across parties in a large dataset of tweets about COVID in 2021. Our findings suggest that Republican use of cross-party interaction were both more potent and potentially more strategic during COVID, that cross-party interaction was driven heavily by a small set of users and conversations, and that there exist non-obvious indirect pathways to cross-party exposure when different modes of interaction are chained together (especially retweets of quotes). These findings have implications beyond Twitter, we believe, in understanding how affordances of platforms can help to shape partisan exposure and interaction.

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