Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter
- URL: http://arxiv.org/abs/2003.11906v1
- Date: Thu, 26 Mar 2020 13:55:50 GMT
- Title: Falling into the Echo Chamber: the Italian Vaccination Debate on Twitter
- Authors: Alessandro Cossard, Gianmarco De Francisci Morales, Kyriaki Kalimeri,
Yelena Mejova, Daniela Paolotti, Michele Starnini
- Abstract summary: We examine the extent to which the vaccination debate on Twitter is conductive to potential outreach to the vaccination hesitant.
We discover that the vaccination skeptics, as well as the advocates, reside in their own distinct "echo chambers"
At the center of these echo chambers we find the ardent supporters, for which we build highly accurate network- and content-based classifiers.
- Score: 65.7192861893042
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The reappearance of measles in the US and Europe, a disease considered
eliminated in early 2000s, has been accompanied by a growing debate on the
merits of vaccination on social media. In this study we examine the extent to
which the vaccination debate on Twitter is conductive to potential outreach to
the vaccination hesitant. We focus on Italy, one of the countries most affected
by the latest measles outbreaks. We discover that the vaccination skeptics, as
well as the advocates, reside in their own distinct "echo chambers". The
structure of these communities differs as well, with skeptics arranged in a
tightly connected cluster, and advocates organizing themselves around few
authoritative hubs. At the center of these echo chambers we find the ardent
supporters, for which we build highly accurate network- and content-based
classifiers (attaining 95% cross-validated accuracy). Insights of this study
provide several avenues for potential future interventions, including
network-guided targeting, accounting for the political context, and monitoring
of alternative sources of information.
Related papers
- Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies [3.203095675418499]
With the rollout of vaccination campaigns, German-speaking regions exhibited much lower vaccination uptake than other European regions.
We show that skepticism regarding the severity of the COVID-19 virus and towards efficacy and safety of vaccines were among the prevalent topics in the discourse on Twitter.
During later phases of the pandemic, when implemented policies restricted the freedom of unvaccinated citizens, increased vaccination uptake could be observed.
arXiv Detail & Related papers (2024-05-07T15:31:13Z) - Doctors vs. Nurses: Understanding the Great Divide in Vaccine Hesitancy
among Healthcare Workers [64.1526243118151]
We find that doctors are overall more positive toward the COVID-19 vaccines.
Doctors are more concerned with the effectiveness of the vaccines over newer variants.
Nurses pay more attention to the potential side effects on children.
arXiv Detail & Related papers (2022-09-11T14:22:16Z) - Dynamics and triggers of misinformation on vaccines [0.552480439325792]
We analyze 6 years of Italian vaccine debate across diverse social media platforms (Facebook, Instagram, Twitter, YouTube)
We first use the symbolic transfer entropy analysis of news production time-series to determine which category of sources, questionable or reliable, causally drives the agenda on vaccines.
We then leverage deep learning models capable to accurately classify vaccine-related content based on the conveyed stance and discussed topic.
arXiv Detail & Related papers (2022-07-25T15:35:48Z) - "COVID-19 was a FIFA conspiracy #curropt": An Investigation into the
Viral Spread of COVID-19 Misinformation [60.268682953952506]
We estimate the extent to which misinformation has influenced the course of the COVID-19 pandemic using natural language processing models.
We provide a strategy to combat social media posts that are likely to cause widespread harm.
arXiv Detail & Related papers (2022-06-12T19:41:01Z) - Echoes through Time: Evolution of the Italian COVID-19 Vaccination
Debate [3.9758527669515518]
We use a Twitter dataset spanning September 2019 - November 2021 to examine the state of polarization around vaccination.
We find the stark division between supporters and hesitant individuals to continue throughout the vaccination campaign.
However, we find an increasing commonality in the topical focus of the vaccine supporters and vaccine hesitant, pointing to a possible common set of facts the two sides may agree on.
arXiv Detail & Related papers (2022-04-27T13:50:19Z) - Assessing the influence of French vaccine critics during the two first
years of the COVID-19 pandemic [0.0]
We look at the capacity of vaccine-critical activists to influence a wider public on social media during the COVID-19 epidemic.
We analyze the evolution of debates over the COVID-19 vaccine on the French Twittosphere, during two first years of the pandemic.
While debates over vaccines experienced a surge during this period, the share of vaccine-critical contents in these debates remains stable except for a limited number of short periods associated with specific events.
arXiv Detail & Related papers (2022-02-22T14:47:41Z) - Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment [90.12602012910465]
We train on Italy's early COVID-19 outbreak through Twitter and transfer to several other countries.
Our experiments show strong results with up to 0.85 Spearman correlation in cross-country predictions.
arXiv Detail & Related papers (2020-06-05T02:04:25Z) - Echo Chambers on Social Media: A comparative analysis [64.2256216637683]
We introduce an operational definition of echo chambers and perform a massive comparative analysis on 1B pieces of contents produced by 1M users on four social media platforms.
We infer the leaning of users about controversial topics and reconstruct their interaction networks by analyzing different features.
We find support for the hypothesis that platforms implementing news feed algorithms like Facebook may elicit the emergence of echo-chambers.
arXiv Detail & Related papers (2020-04-20T20:00:27Z) - Digital Ariadne: Citizen Empowerment for Epidemic Control [55.41644538483948]
The COVID-19 crisis represents the most dangerous threat to public health since the H1N1 pandemic of 1918.
Technology-assisted location and contact tracing, if broadly adopted, may help limit the spread of infectious diseases.
We present a tool, called 'diAry' or 'digital Ariadne', based on voluntary location and Bluetooth tracking on personal devices.
arXiv Detail & Related papers (2020-04-16T15:53:42Z) - Evidence of disorientation towards immunization on online social media
after contrasting political communication on vaccines. Results from an
analysis of Twitter data in Italy [0.0]
In Italy, vaccination coverage for key immunizations as MMR has been declining to worryingly low levels.
In 2017, the Italian Gov't expanded the number of mandatory immunizations introducing penalties to unvaccinated children's families.
During the 2018 general elections campaign, immunization policy entered the political debate with the Gov't in charge blaming oppositions for fuelling vaccine scepticism.
arXiv Detail & Related papers (2019-12-31T11:03:18Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.