short-paper

Who is Spreading Rumours about Vaccines?: Influential User Impact Modelling in Social Networks

Authors:

Patty Kostkova,

Heidi J. Larson,

William S. SchulzAuthors Info & Claims

DH '17: Proceedings of the 2017 International Conference on Digital Health

Pages 48 - 52

https://doi.org/10.1145/3079452.3079505

Published: 02 July 2017 Publication History

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.

References

[1]

P. Kostkova. Public Health. Chapter in Y Mejova, I Weber, MW Macy (Eds): "Twitter: Digital Socioscope", Cambridge University Press, UCA, 2015, pp.111--130.

[2]

P Kostkova, D. Fowler, S Wiseman, J Weinberg. "Major infection events over 5 years -- how is media coverage influencing online information needs of healthcare professionals and the public"? Journal of Medical Internet Research (JMIR), 2013, 15(7):e107.

[3]

P Kostkova, S Garbin, J Moser, W Pan. Integration and visualization public health dashboard: the medi+board pilot project. In Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web companion (WWW Companion '14). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 657--662.

Digital Library

[4]

M Szomszor, P Kostkova, C St Louis. Twitter Informatics: Tracking and Understanding Public Reaction during the 2009 Swine Flu Pandemics. IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology 2011, WI-IAT, Vol. 1, pp.320--323.

Digital Library

[5]

P. Kostkova, M Szomszor, C St Louis. #swineflu: The Use of Twitter as an Early Warning Tool and for Risk Communication in the 2009 Swine Flu Pandemic. ACM Transactions on Management Information systems (ACM TMIS), SI on Informatics for Smart Health and Wellbeing, Vol 5, No 2, Article 8, July 2014.

Digital Library

[6]

Centers for Disease Control and Prevention. Ten great public health achievements -- United States. 1900--1999, MMWR Morbidity Mortality Weekly Report 48:241--243, 99.

[7]

C Ash. Summun bonum. Science Translational Medicine 2:61ed8, 2010.

[8]

VAA Jansen et al. Measles outbreaks in a population with declining vaccine uptake. Science 301:804, 2003.

[9]

M Salathe et al. The effect of opinion clustering on disease outbreaks. Journal R Soc Interface 5:1505--1508, 2008.

[10]

M Salathe, S Khandelwal. Assessing Vaccination Sentiments with online Social Media: Implications for Infectious Disease dynamics and Control. PLOS Computational Biology, October 2011, Vol 7, Issue 10, e1002199.

[11]

S Aral et al. Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. PNAS USA, 106:21544--21549.

[12]

CR Shalizi, AC Thomas. Homophily and contagion are generically confounded in observational social network studies. Sociology Methods Research 40:211--239.

[13]

M Salathe, QV Duy, K Shashank, DR Hunter. The dynamics of health behaviour sentiments on a large online social network. EPJ Data Science 2013, 2:4.

[14]

Larson et al. Tracking the global spread of vaccine sentiments: the global response to Japan's suspension of its HPV vaccine recommendation. Hum Vaccin Immunother, 10(9), pp. 2543--50 2014.

[15]

Larson et al. Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyze public concerns about vaccines. Lancet Infect Dis 13(7), pp. 606--13 2015.

[16]

P Kostkova, V Mano, HJ Larson, WS Schulz. VAC Medi+Board: Analysing Vaccine Rumours in News and Social Media. Proc of the 6th International Conference on Digital Health, pp. 163--164, Montreal, Canada, 2016.

Digital Library

[17]

Y Yang, J Lescovec. Modeling Information Diffusion in Implicit Networks. Stanford online library: http://ilpubs.stanford.edu:8090/989/1/paper-influence.pdf (accessed October 20th 2016).

[18]

P. Kostkova. Medi+board: The Public Health Dashboard. Oral Presentation and Abstract in the Proceedings of the Medicine 2.0 2014, Malaga October 9--10th, 2014.

[19]

H Larson. The world must accept that the HPV vaccine is safe. Nature, Volume 528, Issue 5780, December 1 2015, http://www.nature.com/news/the-world-must-accept-that-the-hpv-vaccine-is-safe-1.18918

[20]

Varadkar, L. National Sexual Health Strategy 2015 - 2020 And Action Plan 2015--2016. Ireland {online}. Available at: http://health.gov.ie/wp-content/uploads/2015/10/National-Sexual-Health-Strategy.pdf {Accessed 19 Apr. 2016}.

[21]

Pratt, S. The Short Half-Life of Your Social Recruiting Posts. Social Talent {online}. Available at: http://www.socialtalent.co/blog/the-short-half-life-of-your-social-media-posts {Accessed 19 Apr. 2016}.

[22]

Kostkova P, et al. Who Owns the Data? Open Data for Healthcare. Front. Public Health 4:7.

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https://doi.org/10.1371/journal.pone.0296444
Li LWood CKostkova P(2024)Co-creating a WeChat Decision Support Intervention to Increase Influenza Vaccine Uptake for Chinese University Students in the UK2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH)10.1109/SeGAH61285.2024.10639586(1-8)Online publication date: 7-Aug-2024
https://doi.org/10.1109/SeGAH61285.2024.10639586
Naqvi MLi LWoodrow MYadav PKostkova P(2022)Understanding COVID-19 Vaccine Hesitancy in Ethnic Minorities Groups in the UKFrontiers in Public Health10.3389/fpubh.2022.91724210Online publication date: 1-Jul-2022
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Index Terms

Who is Spreading Rumours about Vaccines?: Influential User Impact Modelling in Social Networks
1. Applied computing
  1. Life and medical sciences

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cover image ACM Other conferences

DH '17: Proceedings of the 2017 International Conference on Digital Health

July 2017

256 pages

ISBN:9781450352499

DOI:10.1145/3079452

General Chair:
Patty Kostkova
University College London
,
Program Chairs:
Floriana Grasso
University of Liverpool
,
Carlos Castillo
Eurecat
,
Yelena Mejova
QCRI
,
Arnold Bosman
Transmissible

Copyright © 2017 ACM.

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Published: 02 July 2017

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DH '17: International Conference on Digital Health

July 2 - 5, 2017

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Cited By

Hobbs AAldosery AKostkova P(2024)Low credibility URL sharing on Twitter during reporting linking rare blood clots with the Oxford/AstraZeneca COVID-19 vaccinePLOS ONE10.1371/journal.pone.029644419:1(e0296444)Online publication date: 19-Jan-2024
https://doi.org/10.1371/journal.pone.0296444
Li LWood CKostkova P(2024)Co-creating a WeChat Decision Support Intervention to Increase Influenza Vaccine Uptake for Chinese University Students in the UK2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH)10.1109/SeGAH61285.2024.10639586(1-8)Online publication date: 7-Aug-2024
https://doi.org/10.1109/SeGAH61285.2024.10639586
Naqvi MLi LWoodrow MYadav PKostkova P(2022)Understanding COVID-19 Vaccine Hesitancy in Ethnic Minorities Groups in the UKFrontiers in Public Health10.3389/fpubh.2022.91724210Online publication date: 1-Jul-2022
https://doi.org/10.3389/fpubh.2022.917242
Li LAldosery AVitiugin FNathan NNovillo-Ortiz DCastillo CKostkova P(2021)The Response of Governments and Public Health Agencies to COVID-19 Pandemics on Social Media: A Multi-Country Analysis of Twitter DiscourseFrontiers in Public Health10.3389/fpubh.2021.7163339Online publication date: 28-Sep-2021
https://doi.org/10.3389/fpubh.2021.716333
Li LNovillo-Ortiz DAzzopardi-Muscat NKostkova P(2021)Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic ReviewsFrontiers in Public Health10.3389/fpubh.2021.6452609Online publication date: 5-May-2021
https://doi.org/10.3389/fpubh.2021.645260
Zhang WYang J(2021)DeepINN: Identifying Influential Nodes Based on Deep Learning MethodProceedings of the 11th International Conference on Computer Engineering and Networks10.1007/978-981-16-6554-7_14(128-137)Online publication date: 12-Nov-2021
https://doi.org/10.1007/978-981-16-6554-7_14
Kelman IHarris M(2020)Linking Disaster Risk Reduction and Healthcare in Locations with Limited Accessibility: Challenges and Opportunities of Participatory ResearchInternational Journal of Environmental Research and Public Health10.3390/ijerph1801024818:1(248)Online publication date: 31-Dec-2020
https://doi.org/10.3390/ijerph18010248
De Cruz H(2020)Believing to Belong: Addressing the Novice-Expert Problem in Polarized Scientific CommunicationSocial Epistemology10.1080/02691728.2020.173977834:5(440-452)Online publication date: 20-Mar-2020
https://doi.org/10.1080/02691728.2020.1739778
Koukaras PRousidis DTjortjis C(2020)Forecasting and Prevention Mechanisms Using Social Media in Health CareAdvanced Computational Intelligence in Healthcare-710.1007/978-3-662-61114-2_8(121-137)Online publication date: 24-Mar-2020
https://doi.org/10.1007/978-3-662-61114-2_8
Almaliki M(2019)Online Misinformation SpreadProceedings of the 2019 3rd International Conference on Information System and Data Mining10.1145/3325917.3325938(171-178)Online publication date: 6-Apr-2019
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