Published on 22.11.16 in Vol 2, No 2 (2016): Jul-Dec
Works citing "“Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites"
According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6586):
(note that this is only a small subset of citations)
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Loyal J, Weiss TR, Cheng JH, Kair LR, Colson E. Refusal of Vitamin K by Parents of Newborns: A Qualitative Study. Academic Pediatrics 2019;19(7):793
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Solondaev V, Koneva E, Lyasnikova L. Recognition of One’s Own Mental State by Parents of Children-patients. Clinical Psychology and Special Education 2017;6(2):64
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. “We are fierce, independent thinkers and intelligent”: Social capital and stigma management among mothers who refuse vaccines. Social Science & Medicine 2020;257:112015
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Amith M, Cohen T, Cunningham R, Savas LS, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1):107327481989144
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. Vaccine Rejection and Hesitancy: A Review and Call to Action. Open Forum Infectious Diseases 2017;4(3)
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Luceri L, Braun T, Giordano S. Analyzing and inferring human real-life behavior through online social networks with social influence deep learning. Applied Network Science 2019;4(1)
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Guidry JP, Coman IA, Vraga EK, O'Donnell NH, Sreepada N. (S)pin the flu vaccine: Recipes for concern. Vaccine 2020;38(34):5498
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Teague SJ, Shatte AB. Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning. JMIR Pediatrics and Parenting 2018;1(2):e12371
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Gwynette MF, Sidhu SS, Ceranoglu TA. Electronic Screen Media Use in Youth With Autism Spectrum Disorder. Child and Adolescent Psychiatric Clinics of North America 2018;27(2):203
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Ashfield S, Donelle L. Parental Online Information Access and Childhood Vaccination Decisions in North America: Scoping Review. Journal of Medical Internet Research 2020;22(10):e20002
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. Teaching women to question and control: public pedagogies of birth and vaccine refusal. BioSocieties 2020;15(4):580
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Robila M, Robila SA. Applications of Artificial Intelligence Methodologies to Behavioral and Social Sciences. Journal of Child and Family Studies 2020;29(10):2954
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. Contagion Dynamics of Extremist Propaganda in Social Networks. SSRN Electronic Journal 2017;
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Brooker P, Barnett J, Vines J, Lawson S, Feltwell T, Long K, Wood G. Researching with Twitter timeline data: A demonstration via “everyday” socio-political talk around welfare provision. Big Data & Society 2018;5(1):205395171876662
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Peng W, Huang Q. An Examination of Surprise and Emotions in the Processing of Anecdotal Evidence. Health Communication 2020;35(6):766
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Bandari R, Zhou Z, Qian H, Tangherlini TR, Roychowdhury VP. A Resistant Strain: Revealing the Online Grassroots Rise of the Antivaccination Movement. Computer 2017;50(11):60
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. Toward a Generative Model of Legend: Pizzas, Bridges, Vaccines, and Witches. Humanities 2017;7(1):1
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Stephens AB, Wynn CS, Stockwell MS. Understanding the use of digital technology to promote human papillomavirus vaccination – A RE-AIM framework approach. Human Vaccines & Immunotherapeutics 2019;15(7-8):1549
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Huang X, Smith MC, Jamison AM, Broniatowski DA, Dredze M, Quinn SC, Cai J, Paul MJ. Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013–2017. BMJ Open 2019;9(1):e024018
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Tangherlini TR, Shahsavari S, Shahbazi B, Ebrahimzadeh E, Roychowdhury V, Lin Y. An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web. PLOS ONE 2020;15(6):e0233879
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Meleo-Erwin Z, Basch C, MacLean SA, Scheibner C, Cadorett V. “To each his own”: Discussions of vaccine decision-making in top parenting blogs. Human Vaccines & Immunotherapeutics 2017;13(8):1895
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Kunneman F, Lambooij M, Wong A, Bosch AVD, Mollema L. Monitoring stance towards vaccination in twitter messages. BMC Medical Informatics and Decision Making 2020;20(1)
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Park S, Kim Y. Survey and challenges of story generation models - A multimodal perspective with five steps: Data embedding, topic modeling, storyline generation, draft story generation, and story evaluation. Information Fusion 2021;67:41
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Karafillakis E, Martin S, Simas C, Olsson K, Takacs J, Dada S, Larson HJ. Methods for Social Media Monitoring Related to Vaccination: Systematic Scoping Review. JMIR Public Health and Surveillance 2021;7(2):e17149
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. In the Wake of a Pandemic: Revisiting School Approaches to Nonmedical Exemptions to Mandatory Vaccination in the US. The Journal of Pediatrics 2021;231:17
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Shahsavari S, Holur P, Wang T, Tangherlini TR, Roychowdhury V. Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news. Journal of Computational Social Science 2020;3(2):279
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Atkinson KM, Mithani SS, Bell C, Rubens-Augustson T, Wilson K. The digital immunization system of the future: imagining a patient-centric, interoperable immunization information system. Therapeutic Advances in Vaccines and Immunotherapy 2020;8:251513552096720
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Tamminga MA, Lipoff JB. Understanding sunscreen and photoprotection misinformation on parenting blogs: A mixed‐method study. Pediatric Dermatology 2021;38(1):88
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Murphy J, Vallières F, Bentall RP, Shevlin M, McBride O, Hartman TK, McKay R, Bennett K, Mason L, Gibson-Miller J, Levita L, Martinez AP, Stocks TVA, Karatzias T, Hyland P. Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom. Nature Communications 2021;12(1)
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Thelwall M, Kousha K, Thelwall S. Covid-19 vaccine hesitancy on English-language Twitter. El profesional de la información 2021;
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Betti L, De Francisci Morales G, Gauvin L, Kalimeri K, Mejova Y, Paolotti D, Starnini M, Kouyos RD. Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum. PLOS Computational Biology 2021;17(4):e1008919
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Yousefinaghani S, Dara R, Mubareka S, Papadopoulos A, Sharif S. An analysis of COVID-19 vaccine sentiments and opinions on Twitter. International Journal of Infectious Diseases 2021;108:256
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Marshall S, Fleming A, Sahm LJ, Moore AC. Identifying intervention strategies to improve HPV vaccine decision-making using behaviour change theory. Vaccine 2023;41(7):1368
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Niu Q, Liu J, Kato M, Shinohara Y, Matsumura N, Aoyama T, Nagai-Tanima M. Public Opinion and Sentiment Before and at the Beginning of COVID-19 Vaccinations in Japan: Twitter Analysis. JMIR Infodemiology 2022;2(1):e32335
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Vieira MA, Kube PK, van Helmond JL, Hanley PC, Graber EG, Bialo SR, Slamon NB. Recipe for Disaster: Homemade Formula Leading to Severe Complications in 2 Infants. Pediatrics 2021;148(3)
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Zhou X, Li Y. Forecasting the COVID-19 vaccine uptake rate: an infodemiological study in the US. Human Vaccines & Immunotherapeutics 2022;18(1)
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Bankiewicz P, Dworakowska AM, Makarewicz-Wujec M, Kozłowska-Wojciechowska M. Beliefs and sentiments of parents vaccinating their children - small town perspective in Poland: a preliminary study. Central European Journal of Public Health 2022;30(1):7
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Zhao R, Ju G. How do Internet moms raise children? The reshaping of Chinese urban women’s parenting psychology by COVID-19 online practices. Frontiers in Psychology 2022;13
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Jiang LC, Chu TH, Sun M. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis. JMIR Infodemiology 2021;1(1):e25636
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Durach F, Buturoiu R, Craiu D, Cazacu C, Bargaoanu A. Crisis of confidence in vaccination and the role of social media. European Journal of Paediatric Neurology 2022;36:84
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LYU X, LIU H, FU C. Risk perception of medical information. Advances in Psychological Science 2020;28(8):1307
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Thornton C, Reich JA. Black Mothers and Vaccine Refusal: Gendered Racism, Healthcare, and the State. Gender & Society 2022;36(4):525
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Holur P, Shahsavari S, Ebrahimzadeh E, Tangherlini TR, Roychowdhury V. Modelling social readers: novel tools for addressing reception from online book reviews. Royal Society Open Science 2021;8(12)
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Stergiou KD, Minopoulos GM, Memos VA, Stergiou CL, Koidou MP, Psannis KE. A Machine Learning-Based Model for Epidemic Forecasting and Faster Drug Discovery. Applied Sciences 2022;12(21):10766
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Huguet-Feixa A, Artigues-Barberà E, Sol J, Godoy P, Ortega Bravo M. Effects of the COVID-19 Pandemic on the Decision and Doubts About Vaccination in Catalonia: Online Cross-sectional Questionnaire. JMIR Formative Research 2023;7:e41799
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Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349
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Thornton C, Lanyi K, Wilkins G, Potter R, Hunter E, Kolehmainen N, Pearson F. Scoping the Priorities and Concerns of Parents: Infodemiology Study of Posts on Mumsnet and Reddit. Journal of Medical Internet Research 2023;25:e47849
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.6586):
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Hale TM, Chou WS, Cotten SR, Khilnani A. eHealth: Current Evidence, Promises, Perils and Future Directions. 2018. :1
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Boursier V, Manna V, Gioia F, Coppola F, Venosa N. Global Perspectives on Health Communication in the Age of Social Media. 2018. chapter 2:29
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Boursier V, Manna V, Gioia F, Coppola F, Venosa N. Innovations in Global Maternal Health. 2020. chapter 4:80
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. Analysing Health Communication. 2021. Chapter 7:161
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Karaca Y, Zhang Y, Dursun AD, Wang S. Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems. 2022. :95
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