Misinformation and other elements in HPV vaccine tweets: an experimental comparison
Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017–2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subj...
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Published in | Journal of behavioral medicine Vol. 44; no. 3; pp. 310 - 319 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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New York
Springer US
01.06.2021
Springer Springer Nature B.V |
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Abstract | Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017–2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both
p
< .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. |
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AbstractList | Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017-2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017–2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017–2018, we randomly assigned a national sample of 1,206 U.S. parents of adolescents to view one tweet using a 2×2×2×2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR=6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR=2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR=2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p <.01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017-2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 x 2 x 2 x 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017-2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination.Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017-2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination. |
Audience | Academic |
Author | Dyer, Anne-Marie Calo, William A. Shah, Parth D. Margolis, Marjorie A. Gilkey, Melissa B. Brewer, Noel T. Dailey, Susan Alton |
AuthorAffiliation | 5 The Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA 3 Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA 4 Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA 2 Penn State Cancer Institute, Hershey, PA, USA 1 Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA |
AuthorAffiliation_xml | – name: 1 Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA – name: 4 Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA – name: 2 Penn State Cancer Institute, Hershey, PA, USA – name: 3 Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA – name: 5 The Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA, USA |
Author_xml | – sequence: 1 givenname: William A. orcidid: 0000-0001-8452-5063 surname: Calo fullname: Calo, William A. email: wcalo@phs.psu.edu organization: Department of Public Health Sciences, Penn State College of Medicine, Penn State Cancer Institute – sequence: 2 givenname: Melissa B. surname: Gilkey fullname: Gilkey, Melissa B. organization: Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Lineberger Comprehensive Cancer Center, University of North Carolina – sequence: 3 givenname: Parth D. surname: Shah fullname: Shah, Parth D. organization: The Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center – sequence: 4 givenname: Anne-Marie surname: Dyer fullname: Dyer, Anne-Marie organization: Department of Public Health Sciences, Penn State College of Medicine – sequence: 5 givenname: Marjorie A. surname: Margolis fullname: Margolis, Marjorie A. organization: Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina – sequence: 6 givenname: Susan Alton surname: Dailey fullname: Dailey, Susan Alton organization: Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina – sequence: 7 givenname: Noel T. surname: Brewer fullname: Brewer, Noel T. organization: Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Lineberger Comprehensive Cancer Center, University of North Carolina |
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Morbidity and Mortality Weekly Report202068718723 KangGJEwing-NelsonSRMackeyLSemantic network analysis of vaccine sentiment in online social mediaVaccine2017353621363810.1016/j.vaccine.2017.05.052 SenkomagoVHenleySJThomasCCMixJMMarkowitzLESaraiyaMHuman papillomavirus: Attributable cancers—United States, 2012–2016Morbidity and Mortality Weekly Report20196872472810.15585/mmwr.mm6833a3 SalmonDADudleyMZGlanzJMOmerSBVaccine hesitancy: Causes, consequences, and a call to actionVaccine201533D66D7110.1016/j.vaccine.2015.09.035 HansonKEKochBBonnerKMcReeALBastaNENational trends in parental human papillomavirus vaccination intentions and reasons for hesitancy, 2010–2015Clinical Infectious Diseases2018671018102610.1093/cid/ciy232 NewmanPALogieCHLacombe-DuncanAParents' uptake of human papillomavirus vaccines for their children: A systematic review and meta-analysis of observational studiesBritish Medical Journal Open20188e019206 Bruine de BruinWWallinAParkerAMStroughJHanmerJEffects of anti- versus pro-vaccine narratives on responses by recipients varying in numeracy: A cross-sectional survey-based experimentMedical Decision Making20173786010.1177/0272989X17704858 MeitesEKempeAMarkowitzLEUse of a 2-dose schedule for human papillomavirus vaccination: Updated recommendations of the advisory committee on immunization practicesMorbidity and Mortality Weekly Report2016651405140810.15585/mmwr.mm6549a5 ShahPDCaloWAGilkeyMBQuestions and Concerns about HPV vaccine: A communication experimentPediatrics2019143e2018187210.1542/peds.2018-1872 NoarSMBellTKelleyDBarkerJYzerMPerceived message effectiveness measures in tobacco education campaigns: A systematic reviewCommunication Methods and Measures20181229531310.1080/19312458.2018.1483017 NanXMaddenKHPV vaccine information in the blogosphere: How positive and negative blogs influence vaccine-related risk perceptions, attitudes, and behavioral intentionsHealth Communication20122782983610.1080/10410236.2012.661348 FaasseKChatmanCJMartinLRA comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook postVaccine2016345808581410.1016/j.vaccine.2016.09.029 CartmellKBMzikCRSundstromBLLuqueJSWhiteAYoung-PierceJHPV vaccination communication messages, messengers, and messaging strategiesJournal of Cancer Education2019341014102310.1007/s13187-018-1405-x Gallup. 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References_xml | – reference: Pew Research Center. (2019b). 5 key findings about public trust in scientists in the U.S. Available from: https://www.pewresearch.org/fact-tank/2019/08/05/5-key-findings-about-public-trust-in-scientists-in-the-u-s/ Accessed January 14, 2020. – reference: MeitesEKempeAMarkowitzLEUse of a 2-dose schedule for human papillomavirus vaccination: Updated recommendations of the advisory committee on immunization practicesMorbidity and Mortality Weekly Report2016651405140810.15585/mmwr.mm6549a5 – reference: AAPORThe American Association for Public Opinion Research standard definitions: Final dispositions of case codes and outcome rates for surveys2015Oakbrook Terrace, ILAAPOR – reference: DunnAGSurianDLeaskJDeyAMandlKDCoieraEMapping information exposure on social media to explain differences in HPV vaccine coverage in the United StatesVaccine2017353033304010.1016/j.vaccine.2017.04.060 – reference: NoarSMBellTKelleyDBarkerJYzerMPerceived message effectiveness measures in tobacco education campaigns: A systematic reviewCommunication Methods and Measures20181229531310.1080/19312458.2018.1483017 – reference: TeohDThe power of social media for HPV vaccination-not fake news!American Society of Clinical Oncology Educational Book201939757810.1200/EDBK_239363 – reference: NewmanPALogieCHLacombe-DuncanAParents' uptake of human papillomavirus vaccines for their children: A systematic review and meta-analysis of observational studiesBritish Medical Journal Open20188e019206 – reference: EkramSDebiecKEPumperMAMorenoMAContent and commentary: HPV vaccine and YouTubeJournal of Pediatric and Adolescent Gynecology20193215315710.1016/j.jpag.2018.11.001 – reference: Elam-EvansLDYankeyDSingletonJANational, regional, state, and selected local area vaccination coverage among adolescents aged 13–17 years—United States, 2019MMWR. Morbidity and Mortality Weekly Report202068718723 – reference: Healthy People 2020. 2020 topics and objectives: Immunization and infectious diseases: IID-11 Increase routine vaccination coverage levels for adolescents. Available from: http://www.healthypeople.gov/2020/topicsobjectives2020/objectiveslist.aspx?topicId=23 Accessed October 21, 2019. – reference: GetmanRHelmiMRobertsHYansaneACutlerDSeymourBVaccine hesitancy and online information: The influence of digital networksHealth Education & Behavior20184559960610.1177/1090198117739673 – reference: Keim-MalpassJMitchellEMSunEKennedyCUsing Twitter to understand public perceptions regarding the #HPV vaccine: Opportunities for Public Health Nurses to Engage in Social MarketingPublic Health Nursing20173431632310.1111/phn.12318 – reference: GidengilCChenCParkerAMNowakSMatthewsLBeliefs around childhood vaccines in the United States: A systematic reviewVaccine2019376793680210.1016/j.vaccine.2019.08.068 – reference: ChouWSOhAKleinWMPAddressing health-related misinformation on social mediaJAMA20183202417241810.1001/jama.2018.16865 – reference: GilkeyMBCaloWAMarciniakMWBrewerNTParents who refuse or delay HPV vaccine: Differences in vaccination behavior, beliefs, and clinical communication preferencesHuman Vaccines & Immunotherapeutics20171368068610.1080/21645515.2016.1247134 – reference: MargolisMABrewerNTShahPDCaloWAGilkeyMBStories about HPV vaccine in social media, traditional media, and conversationsPreventive Medicine201911825125610.1016/j.ypmed.2018.11.005 – reference: The New York Times. How Anti-Vaccine Sentiment Took Hold in the United States. Available from: https://www.nytimes.com/2019/09/23/health/anti-vaccination-movement-us.html Accessed January 14, 2020. – reference: SouthwellBGNiederdeppeJCappellaJNMisinformation as a misunderstood challenge to public healthAmerican Journal of Preventive Medicine20195728228510.1016/j.amepre.2019.03.009 – reference: HansonKEKochBBonnerKMcReeALBastaNENational trends in parental human papillomavirus vaccination intentions and reasons for hesitancy, 2010–2015Clinical Infectious Diseases2018671018102610.1093/cid/ciy232 – reference: NanXMaddenKHPV vaccine information in the blogosphere: How positive and negative blogs influence vaccine-related risk perceptions, attitudes, and behavioral intentionsHealth Communication20122782983610.1080/10410236.2012.661348 – reference: Pew Research Center. (2019a). Social Media Fact Sheet. Available from: https://www.pewresearch.org/internet/fact-sheet/social-media/ Accessed December 19, 2019. – reference: CartmellKBMzikCRSundstromBLLuqueJSWhiteAYoung-PierceJHPV vaccination communication messages, messengers, and messaging strategiesJournal of Cancer Education2019341014102310.1007/s13187-018-1405-x – reference: MasseyPMLeaderAYom-TovEBudenzAFisherKKlassenACApplying multiple data collection tools to quantify human papillomavirus vaccine communication on TwitterJournal of Medical Internet Research201618e31810.2196/jmir.6670 – reference: SalmonDADudleyMZGlanzJMOmerSBVaccine hesitancy: Causes, consequences, and a call to actionVaccine201533D66D7110.1016/j.vaccine.2015.09.035 – reference: SenkomagoVHenleySJThomasCCMixJMMarkowitzLESaraiyaMHuman papillomavirus: Attributable cancers—United States, 2012–2016Morbidity and Mortality Weekly Report20196872472810.15585/mmwr.mm6833a3 – reference: Bruine de BruinWWallinAParkerAMStroughJHanmerJEffects of anti- versus pro-vaccine narratives on responses by recipients varying in numeracy: A cross-sectional survey-based experimentMedical Decision Making20173786010.1177/0272989X17704858 – reference: BetschCRenkewitzFBetschTUlshöferCThe influence of vaccine-critical websites on perceiving vaccination risksJournal of Health Psychology20101544645510.1177/1359105309353647 – reference: ShahPDCaloWAGilkeyMBQuestions and Concerns about HPV vaccine: A communication experimentPediatrics2019143e2018187210.1542/peds.2018-1872 – reference: BroniatowskiDAJamisonAMQiSWeaponized health communication: Twitter bots and Russian trolls amplify the vaccine debateAmerican Journal of Public Health20181081378138410.2105/AJPH.2018.304567 – reference: Jones, A.M., Omer, S.B., Bednarczyk, R.A., Halsey, N.A., Moulton, L.H., & Salmon, D.A. (2012).s. Adv Prev Med, 2012. – reference: KangGJEwing-NelsonSRMackeyLSemantic network analysis of vaccine sentiment in online social mediaVaccine2017353621363810.1016/j.vaccine.2017.05.052 – reference: FaasseKChatmanCJMartinLRA comparison of language use in pro- and anti-vaccination comments in response to a high profile Facebook postVaccine2016345808581410.1016/j.vaccine.2016.09.029 – reference: LamaYHuDJamisonAQuinnSCBroniatowskiDACharacterizing trends in human papillomavirus vaccine discourse on reddit (2007–2015): An observational studyJMIR Public Health Surveill20195e1248010.2196/12480 – reference: Gallup. (2019). U.S. confidence in organized religion remains low. Available from: https://news.gallup.com/poll/259964/confidence-organized-religion-remains-low.aspx Accessed January 14, 2020. – reference: GuidryJPCarlyleKMessnerMJinYOn pins and needles: How vaccines are portrayed on PinterestVaccine2015335051505610.1016/j.vaccine.2015.08.064 – volume-title: The American Association for Public Opinion Research standard definitions: Final dispositions of case codes and outcome rates for surveys year: 2015 ident: 203_CR1 – volume: 39 start-page: 75 year: 2019 ident: 203_CR35 publication-title: American Society of Clinical Oncology Educational Book doi: 10.1200/EDBK_239363 – volume: 34 start-page: 1014 year: 2019 ident: 203_CR5 publication-title: Journal of Cancer Education doi: 10.1007/s13187-018-1405-x – volume: 68 start-page: 724 year: 2019 ident: 203_CR32 publication-title: Morbidity and Mortality Weekly Report doi: 10.15585/mmwr.mm6833a3 – volume: 37 start-page: 6793 year: 2019 ident: 203_CR13 publication-title: Vaccine doi: 10.1016/j.vaccine.2019.08.068 – volume: 18 start-page: e318 year: 2016 ident: 203_CR23 publication-title: Journal of Medical Internet Research doi: 10.2196/jmir.6670 – volume: 34 start-page: 5808 year: 2016 ident: 203_CR10 publication-title: Vaccine doi: 10.1016/j.vaccine.2016.09.029 – ident: 203_CR17 – volume: 35 start-page: 3621 year: 2017 ident: 203_CR19 publication-title: Vaccine doi: 10.1016/j.vaccine.2017.05.052 – ident: 203_CR11 – volume: 34 start-page: 316 year: 2017 ident: 203_CR20 publication-title: Public Health Nursing doi: 10.1111/phn.12318 – volume: 33 start-page: 5051 year: 2015 ident: 203_CR15 publication-title: Vaccine doi: 10.1016/j.vaccine.2015.08.064 – volume: 5 start-page: e12480 year: 2019 ident: 203_CR21 publication-title: JMIR Public Health Surveill doi: 10.2196/12480 – volume: 143 start-page: e20181872 year: 2019 ident: 203_CR33 publication-title: Pediatrics doi: 10.1542/peds.2018-1872 – ident: 203_CR30 – volume: 67 start-page: 1018 year: 2018 ident: 203_CR16 publication-title: Clinical Infectious Diseases doi: 10.1093/cid/ciy232 – ident: 203_CR27 – ident: 203_CR29 – volume: 35 start-page: 3033 year: 2017 ident: 203_CR7 publication-title: Vaccine doi: 10.1016/j.vaccine.2017.04.060 – volume: 8 start-page: e019206 year: 2018 ident: 203_CR26 publication-title: British Medical Journal Open – volume: 68 start-page: 718 year: 2020 ident: 203_CR9 publication-title: MMWR. 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SubjectTerms | Adolescent Adolescents Between-subjects design Communication Factorial experiments False information Family Medicine General Practice Health aspects Health behavior Health Psychology Human papillomavirus Humans Immunization Medicine Medicine & Public Health Microblogs Misinformation Motivation Papillomavirus Infections - prevention & control Papillomavirus Vaccines Psychological aspects Risk perception Social aspects Social Media Social networks Storytelling Vaccination Vaccines |
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Title | Misinformation and other elements in HPV vaccine tweets: an experimental comparison |
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