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Who is spreading rumours about vaccines? Influential user impact modelling in social networks

Kostkova, P; Mano, V; Larson, HJ; Schulz, WS; (2017) Who is spreading rumours about vaccines? Influential user impact modelling in social networks. In: Proceeding DH '17 Proceedings of the 2017 International Conference on Digital Health. (pp. pp. 48-52). ACM: New York, NY, USA. Green open access

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Abstract

Vaccine hesitancy, traditionally linked to issues of trust, misinformation and prior beliefs, has been increasingly fuelled by influential groups on social media (SM) and the Internet. Analysis of news media and social networks (SN) accessible in real-time provides a new opportunity for detecting changes in public confidence in vaccines. However, different concerns are important in different regions, and reasons for hesitancy and the role of opinion leaders vary between sub-controversies in the broader vaccination debates. It is therefore important for public health professionals to gain an overview of the emerging debates in cyberspace, identify influential users and rumours, and assess their impact in order to know how to respond. The VAC Medi+Board project aims to visualise the diffusion of rumours through SN and assess the impact of key individuals. We include, as a case study, discussions during winter 2015-16 pertaining to the alleged side-effects of the HPV vaccine.

Type: Proceedings paper
Title: Who is spreading rumours about vaccines? Influential user impact modelling in social networks
Event: DH '17 Proceedings of the 2017 International Conference on Digital Health
ISBN-13: 9781450352499
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3079452.3079505
Publisher version: https://doi.org/10.1145/3079452.3079505
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Vaccination, social networks, social media, integrated interactive dashboard
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/1570714
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