Polarization of the Vaccination Debate on Facebook
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Abstract (arXiv)
Vaccine hesitancy has been recognized as a major global health threat. Having access to any type of information in social media has been suggested as a potential powerful influence factor to hesitancy. Recent studies in other fields than vaccination show that access to a wide amount of content through the Internet without intermediaries resolved into major segregation of the users in polarized groups. Users select the information adhering to theirs system of beliefs and tend to ignore dissenting information. In this paper we assess whether there is polarization in Social Media use in the field of vaccination. We perform a thorough quantitative analysis on Facebook analyzing 2.6M users interacting with 298.018 posts over a time span of seven years and 5 months. We used community detection algorithms to automatically detect the emergent communities from the users activity and to quantify the cohesiveness over time of the communities. Our findings show that content consumption about vaccines is dominated by the echo-chamber effect and that polarization increased over years. Communities emerge from the users consumption habits, i.e. the majority of users only consumes information in favor or against vaccines, not both. The existence of echo-chambers may explain why social-media campaigns providing accurate information may have limited reach, may be effective only in sub-groups and might even foment further polarization of opinions. The introduction of dissenting information into a sub-group is disregarded and can have a backfire effect, further reinforcing the existing opinions within the sub-group.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Jan 2018.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 0; 2025: 1.
10 papers.
- 2021A Survey on Echo Chambers on Social Media: Description, Detection and Mitigationcited by 12
- 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twittercited by 7
- 2021Learning Ideological Embeddings from Information Cascadescited by 6
- 2022A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twittercited by 5
- 2021Detecting Anti-Vaccine Users on Twittercited by 2
- 2025Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Mediacited by 1
- 2022Dynamics and triggers of misinformation on vaccinescited by 0
- 2022Demystifying the COVID-19 vaccine discourse on Twittercited by 0
- 2023Proposing a conceptual framework: social media listening for public health behaviorcited by 0
- 2023All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Mediacited by 0
- 2025Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media4 Feb 2025
- 2023All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media7 Dec 2023
- 2023Proposing a conceptual framework: social media listening for public health behavior30 Jul 2023
- 2022Demystifying the COVID-19 vaccine discourse on Twitter29 Aug 2022
- 2022Dynamics and triggers of misinformation on vaccines25 Jul 2022
- 2022A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter27 Jun 2022
- 2021A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation9 Dec 2021
- 2021Detecting Anti-Vaccine Users on Twitter21 Oct 2021
- 2021Learning Ideological Embeddings from Information Cascades28 Sep 2021
- 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter11 Mar 2021