Cited by 126Misinformation and Its ImpactsComplex Network Analysis TechniquesVaccine Coverage and Hesitancy

Falling into the Echo Chamber: The Italian Vaccination Debate on Twitter

Open access
Cossard, Alessandro, De Francisci Morales, Gianmarco, Kalimeri, Kyriaki, Mejova, Yelena, Paolotti, Daniela, Starnini, Michele·2020·Proceedings of the International AAAI Conference on Web and Social Media

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1609/icwsm.v14i1.7285

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Chen, W.-C., and Milojevic, S. 2018. Interaction or segre- gation: Vaccination and information sharing on twitter. In Companion of the 2018 ACM Conference on Computer Sup- ported Cooperative Work and Social Computing, 301-304.
  2. Kalimeri, K.; G. Beiró, M.; Urbinati, A.; Bonanomi, A.; Rosina, A.; and Cattuto, C. 2019. Human values and atti- tudes towards vaccination in social media. In Companion Proceedings of The 2019 World Wide Web Conference, 248- 254.

Cited by

Sorted by citations

Authors
Cossard, A., De Francisci Morales, G., Kalimeri, K., Mejova, Y., Paolotti, D., & Starnini, M.
Affiliations
Institute for Scientific Interchange (IT)
Venue
Proceedings of the International AAAI Conference on Web and Social Media
Published
2020-05-26
Volume
14
Pages
130-140
ISSN
  • 2162-3449 (ISSN-L)
  • 2334-0770
OpenAlex
W3012967881
Cited by
126
References
44
Citations by year
2026: 6 · 2025: 8 · 2024: 18 · 2023: 20 · 2022: 41 · 2021: 26 · 2020: 6
FWCI
49.35
Type
conference paper
Language
en
Open access
Locations
Proceedings of the International AAAI Conference on Web and Social Media (publishedVersion)
Funders
  • Fondazione CRT
  • Institute for Scientific Interchange
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Health › Vaccine Coverage and Hesitancy
Keywords
vaccination debate, measles outbreak, echo chambers, Twitter, vaccine hesitancy, online communities, network structure, content-based classification, Italy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review