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Human Values and Attitudes towards Vaccination in Social Media

Published: 13 May 2019 Publication History

Abstract

Psychological, political, cultural, and even societal factors are entangled in the reasoning and decision-making process towards vaccination, rendering vaccine hesitancy a complex issue. Here, administering a series of surveys via a Facebook-hosted application, we study the worldviews of people that “Liked” supportive or vaccine resilient Facebook Pages. In particular, we assess differences in political viewpoints, moral values, personality traits, and general interests, finding that those sceptical about vaccination, appear to trust less the government, are less agreeable, while they are emphasising more on anti-authoritarian values. Exploring the differences in moral narratives as expressed in the linguistic descriptions of the Facebook Pages, we see that pages that defend vaccines prioritise the value of the family while the vaccine hesitancy pages are focusing on the value of freedom. Finally, creating embeddings based on the health-related likes on Facebook Pages, we explore common, latent interests of vaccine-hesitant people, showing a strong preference for natural cures. This exploratory analysis aims at exploring the potentials of a social media platform to act as a sensing tool, providing researchers and policymakers with insights drawn from the digital traces, that can help design communication campaigns that build confidence, based on the values that also appeal to the socio-moral criteria of people.

References

[1]
Avnika B. Amin, Robert A. Bednarczyk, Cara E. Ray, Kala J. Melchiori, Jesse Graham, Jeffrey R. Huntsinger, and Saad B. Omer. 2017. Association of moral values with vaccine hesitancy. Nature Human Behaviour 1(2017), 873–880. Issue 12.
[2]
Katie Attwell, Mark C Navin, Pier Luigi Lopalco, Christine Jestin, Sabine Reiter, and Saad B Omer. 2018. Recent vaccine mandates in the United States, Europe and Australia: a comparative study. Vaccine 36, 48 (2018), 7377–7384.
[3]
Marina F Barnea and Shalom H Schwartz. 1998. Values and voting. Political psychology 19, 1 (1998), 17–40.
[4]
Sandra J Bean. 2011. Emerging and continuing trends in vaccine opposition website content. Vaccine 29, 10 (2011), 1874–1880.
[5]
Cornelia Betsch, Noel T Brewer, Pauline Brocard, Patrick Davies, Wolfgang Gaissmaier, Niels Haase, Julie Leask, Frank Renkewitz, Britta Renner, Valerie F Reyna, 2012. Opportunities and challenges of Web 2.0 for vaccination decisions. Vaccine 30, 25 (2012), 3727–3733.
[6]
Andrea Bonanomi, Alessandro Rosina, Ciro Cattuto, and Kyriaki Kalimeri. 2017. Understanding Youth Unemployment in Italy via Social Media Data.
[7]
Matthew Browne, Patricia Thomson, Matthew Justus Rockloff, and Gordon Pennycook. 2015. Going against the herd: psychological and cultural factors underlying the “vaccination confidence gap”. PLoS One 10, 9 (2015), e0132562.
[8]
Gabriela Capurro, Josh Greenberg, Eve Dubé, and Michelle Driedger. 2018. Measles, Moral Regulation and the Social Construction of Risk: Media Narratives of “Anti-Vaxxers” and the 2015 Disneyland Outbreak. Canadian Journal of Sociology 43, 1 (2018), 25–48.
[9]
JA Cassell, M Leach, MS Poltorak, CH Mercer, A Iversen, and JR Fairhead. 2006. Is the cultural context of MMR rejection a key to an effective public health discourse?Public health 120, 9 (2006), 783–794.
[10]
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara, and Aram Galstyan. 2016. Latent space model for multi-modal social data. In Proceedings of the 25th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 447–458.
[11]
Paul T Costa Jr and Robert R McCrae. 1992. The five-factor model of personality and its relevance to personality disorders. Journal of Personality Disorders 6, 4 (1992), 343.
[12]
Gretchen J Domek, Sean T O’Leary, Sheana Bull, Michael Bronsert, Ingrid L Contreras-Roldan, Guillermo Antonio Bolaños Ventura, Allison Kempe, and Edwin J Asturias. 2018. Measuring vaccine hesitancy: Field testing the WHO SAGE Working Group on Vaccine Hesitancy survey tool in Guatemala. Vaccine 36, 35 (2018), 5273–5281.
[13]
Eve Dubé, Dominique Gagnon, Noni E MacDonald, 2015. Strategies intended to address vaccine hesitancy: Review of published reviews. Vaccine 33, 34 (2015), 4191–4203.
[14]
Eve Dubé, Maryline Vivion, Chantal Sauvageau, Arnaud Gagneur, Raymonde Gagnon, and Maryse Guay. 2016. “Nature Does Things Well, Why Should We Interfere?” Vaccine Hesitancy Among Mothers. Qualitative Health Research 26, 3 (2016), 411–425.
[15]
Melissa B Gilkey, Annie-Laurie McRee, and Noel T Brewer. 2013. Forgone vaccination during childhood and adolescence: findings of a statewide survey of parents. Preventive medicine 56, 3-4 (2013), 202–206.
[16]
Samuel D Gosling, Peter J Rentfrow, and William B Swann. 2003. A very brief measure of the Big-Five personality domains. Journal of Research in personality 37, 6 (2003), 504–528.
[17]
Palash Goyal and Emilio Ferrara. 2018. Graph embedding techniques, applications, and performance: A survey. Knowledge-Based Systems 151 (2018), 78–94.
[18]
Jesse Graham, Jonathan Haidt, and Brian A Nosek. 2009. Liberals and conservatives rely on different sets of moral foundations.Journal of personality and social psychology 96, 5(2009), 1029.
[19]
Joshua Greenberg, Eve Dubé, and Michelle Driedger. 2017. Vaccine hesitancy: in search of the risk communication comfort zone. PLoS currents 9(2017).
[20]
Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 855–864.
[21]
Jonathan Haidt and Jesse Graham. 2007. When morality opposes justice: Conservatives have moral intuitions that liberals may not recognize. Social Justice Research 20, 1 (2007), 98–116.
[22]
Jonathan Haidt and Craig Joseph. 2004. Intuitive ethics: How innately prepared intuitions generate culturally variable virtues. Daedalus 133, 4 (2004), 55–66.
[23]
EKOS Research Associates Inc.2018. Survey for the Development of the Childhood Vaccination Campaign. Vaccine (2018).
[24]
Ravi Iyer, Spassena Koleva, Jesse Graham, Peter Ditto, and Jonathan Haidt. 2012. Understanding libertarian morality: The psychological dispositions of self-identified libertarians. PloS one 7, 8 (2012), e42366.
[25]
Daniel Jolley and Karen M Douglas. 2014. The effects of anti-vaccine conspiracy theories on vaccination intentions. PloS one 9, 2 (2014), e89177.
[26]
Kyriaki Kalimeri, Mariano G Beiró, Andrea Bonanomi, Alessandro Rosina, and Ciro Cattuto. 2019. Evaluation of Biases in Self-reported Demographic and Psychometric Information: Traditional versus Facebook-based Surveys. arXiv preprint arXiv:1901.07876(2019).
[27]
Kyriaki Kalimeri, Mariano G Beiró, Matteo Delfino, Robert Raleigh, and Ciro Cattuto. 2019. Predicting demographics, moral foundations, and human values from digital behaviours. Computers in Human Behavior 92 (2019), 428–445.
[28]
Anna Kata. 2010. A postmodern Pandora’s box: anti-vaccination misinformation on the Internet. Vaccine 28, 7 (2010), 1709–1716.
[29]
Allison Kennedy, Katherine LaVail, Glen Nowak, Michelle Basket, and Sarah Landry. 2011. Confidence about vaccines in the United States: understanding parents’ perceptions. Health affairs 30, 6 (2011), 1151–1159.
[30]
Heidi J Larson, Louis Z Cooper, Juhani Eskola, Samuel L Katz, and Scott Ratzan. 2011. Addressing the vaccine confidence gap. The Lancet 378, 9790 (2011), 526–535.
[31]
Carol HJ Lee, Isabelle M Duck, and Chris G Sibley. 2017. Personality and demographic correlates of New Zealanders’ confidence in the safety of childhood vaccinations. Vaccine 35, 45 (2017), 6089–6095.
[32]
Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, Nov (2008), 2579–2605.
[33]
Henry B Mann and Donald R Whitney. 1947. On a test of whether one of two random variables is stochastically larger than the other. The annals of mathematical statistics(1947), 50–60.
[34]
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014. Deepwalk: Online Learning of Social Representations. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 701–710.
[35]
Bryan Perozzi and Steven Skiena. 2015. Exact Age Prediction in Social Networks. In Proceedings of the 24th International Conference on World Wide Web(WWW ’15 Companion). ACM, New York, NY, USA, 91–92.
[36]
Daniele Quercia, Michal Kosinski, David Stillwell, and Jon Crowcroft. 2011. Our twitter profiles, our selves: Predicting personality with twitter. In Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on. IEEE, 180–185.
[37]
Leonardo FR Ribeiro, Pedro HP Saverese, and Daniel R Figueiredo. 2017. struc2vec: Learning node representations from structural identity. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 385–394.
[38]
Daniel A Salmon, Matthew Z Dudley, Jason M Glanz, and Saad B Omer. 2015. Vaccine hesitancy: causes, consequences, and a call to action. Vaccine 33(2015), D66–D71.
[39]
Philipp Schmid, Dorothee Rauber, Cornelia Betsch, Gianni Lidolt, and Marie-Luisa Denker. 2017. Barriers of influenza vaccination intention and behavior–a systematic review of influenza vaccine hesitancy, 2005–2016. PloS one 12, 1 (2017), e0170550.
[40]
Ana Lucía Schmidt, Fabiana Zollo, Antonio Scala, Cornelia Betsch, and Walter Quattrociocchi. 2018. Polarization of the vaccination debate on Facebook. Vaccine 36, 25 (2018), 3606–3612.
[41]
David P Schmitt, Jüri Allik, Robert R McCrae, and Verónica Benet-Martínez. 2007. The geographic distribution of Big Five personality traits patterns and profiles of human self-description across 56 nations. Journal of cross-cultural psychology 38, 2 (2007), 173–212.
[42]
Shalom H Schwartz. 1992. Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In Advances in experimental social psychology. Vol. 25. Elsevier, 1–65.
[43]
Gilla K Shapiro, Ovidiu Tatar, Eve Dube, Rhonda Amsel, Barbel Knauper, Anila Naz, Samara Perez, and Zeev Rosberger. 2018. The vaccine hesitancy scale: Psychometric properties and validation. Vaccine 36, 5 (2018), 660–667.
[44]
Philip J Smith, Sharon G Humiston, Edgar K Marcuse, Zhen Zhao, Christina G Dorell, Cynthia Howes, and Beth Hibbs. 2011. Parental delay or refusal of vaccine doses, childhood vaccination coverage at 24 months of age, and the Health Belief Model. Public health reports 126, 2_suppl (2011), 135–146.
[45]
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, and Qiaozhu Mei. 2015. Line: Large-scale information network embedding. In Proceedings of the 24th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 1067–1077.
[46]
Daixin Wang, Peng Cui, and Wenwu Zhu. 2016. Structural deep network embedding. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 1225–1234.
[47]
Przemyslaw M Waszak, Wioleta Kasprzycka-Waszak, and Alicja Kubanek. 2018. The spread of medical fake news in social media–The pilot quantitative study. Health Policy and Technology(2018).
[48]
Runhua Xu, Remo M. Frey, Elgar Fleisch, and Alexander Ilic. 2016. Understanding the Impact of Personality Traits on Mobile App Adoption – Insights from a Large-Scale Field Study”. Computers in Human Behavior 62 (sep 2016), 244–256.
[49]
Ohid Yaqub, Sophie Castle-Clarke, Nick Sevdalis, and Joanna Chataway. 2014. Attitudes to vaccination: a critical review. Social science & medicine 112 (2014), 1–11.
[50]
Wu Youyou, Michal Kosinski, and David Stillwell. 2015. Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences 112, 4 (2015), 1036–1040.
[51]
Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. 2016. Homophily, structure, and content augmented network representation learning. In 2016 IEEE 16th International Conference on Data Mining (ICDM). IEEE, 609–618.

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          cover image ACM Other conferences
          WWW '19: Companion Proceedings of The 2019 World Wide Web Conference
          May 2019
          1331 pages
          ISBN:9781450366755
          DOI:10.1145/3308560
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Published: 13 May 2019

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          Author Tags

          1. communication campaigns
          2. facebook
          3. moral foundations
          4. network embeddings
          5. personality traits
          6. political views
          7. social media
          8. vaccine hesitancy

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          WWW '19
          WWW '19: The Web Conference
          May 13 - 17, 2019
          San Francisco, USA

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          Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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          Cited By

          View all
          • (2024)MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social DiscussionsProceedings of the 2024 International Conference on Information Technology for Social Good10.1145/3677525.3678694(433-442)Online publication date: 4-Sep-2024
          • (2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
          • (2024)Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networksEPJ Data Science10.1140/epjds/s13688-024-00469-y13:1Online publication date: 4-Apr-2024
          • (2024)Political context of the European vaccine debate on TwitterScientific Reports10.1038/s41598-024-54863-714:1Online publication date: 22-Feb-2024
          • (2024)A supervised contrastive learning-based model for image emotion classificationWorld Wide Web10.1007/s11280-024-01260-927:3Online publication date: 24-Apr-2024
          • (2024)Content Analysis of Selective WHO-Affiliated Member Countries’ COVID-19 Vaccination Messages on Twitter Targeting Young AdultsSocial Media, Youth, and the Global South10.1007/978-3-031-41869-3_2(23-42)Online publication date: 2-Mar-2024
          • (2023)A MOOC on Promoting Vaccination for Healthcare Professionals in Higher EducationNew Perspectives in Teaching and Learning With ICTs in Global Higher Education Systems10.4018/978-1-6684-8861-4.ch005(73-98)Online publication date: 30-Jun-2023
          • (2023)Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter StudyJMIR Infodemiology10.2196/447143(e44714)Online publication date: 24-May-2023
          • (2023)Soundscapes of morality: Linking music preferences and moral values through lyrics and audioPLOS ONE10.1371/journal.pone.029440218:11(e0294402)Online publication date: 29-Nov-2023
          • (2023)Moral Framing of Mental Health Discourse and Its Relationship to Stigma: A Comparison of Social Media and NewsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580834(1-19)Online publication date: 19-Apr-2023
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