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Citing this Article

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Published on 04.01.16 in Vol 2, No 1 (2016): Jan-Jun

This paper is in the following e-collection/theme issue:

Works citing "The Measles Vaccination Narrative in Twitter: A Quantitative Analysis"

Jacek Radzikowski, Anthony Stefanidis, Kathryn H Jacobsen, Arie Croitoru, Andrew Crooks, Paul L Delamater

JMIR Public Health Surveill 2016 (Jan 04); 2(1):e1 

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.5059):

(note that this is only a small subset of citations)

  1. Marcon AR, Klostermann P, Caulfield T. Chiropractic and Spinal Manipulation Therapy on Twitter: Case Study Examining the Presence of Critiques and Debates. JMIR Public Health and Surveillance 2016;2(2):e153
    CrossRef
  2. Lwin MO, Lu J, Sheldenkar A, Cayabyab YM, Yee AZH, Smith HE. Temporal and textual analysis of social media on collective discourses during the Zika virus pandemic. BMC Public Health 2020;20(1)
    CrossRef
  3. Kim Y, Kim JH. Using photos for public health communication: A computational analysis of the Centers for Disease Control and Prevention Instagram photos and public responses. Health Informatics Journal 2020;26(3):2159
    CrossRef
  4. 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
    CrossRef
  5. Kim JY, Park J, Park E, Ji SM. Analysis of issues and trends in cosmetic plastic procedures using tweets from Twitters. Public Health Affairs 2017;1(1):129
    CrossRef
  6. Nguyen J, Gilbert L, Priede L, Heckman C. The Reach of the “Don’t Fry Day” Twitter Campaign: Content Analysis. JMIR Dermatology 2019;2(1):e14137
    CrossRef
  7. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116
    CrossRef
  8. Fung IC, Jackson AM, Mullican LA, Blankenship EB, Goff ME, Guinn AJ, Saroha N, Tse ZTH. Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study. JMIR Public Health and Surveillance 2018;4(2):e33
    CrossRef
  9. Lama Y, Chen T, Dredze M, Jamison A, Quinn SC, Broniatowski DA. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244
    CrossRef
  10. Vraga EK, Bode L. I do not believe you: how providing a source corrects health misperceptions across social media platforms. Information, Communication & Society 2018;21(10):1337
    CrossRef
  11. Neumayer C, Rossi L. Images of protest in social media: Struggle over visibility and visual narratives. New Media & Society 2018;20(11):4293
    CrossRef
  12. Mitran CI, Mitran MI, Tampa M, Georgescu SR, Popa MI. Communication – a key element in vaccination strategies. Infectio.ro 2018;2(54):13
    CrossRef
  13. Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
    CrossRef
  14. Cacciatore MA, Nowak GJ, Evans NJ. It's Complicated: The 2014–2015 U.S. Measles Outbreak and Parents’ Vaccination Beliefs, Confidence, and Intentions. Risk Analysis 2018;38(10):2178
    CrossRef
  15. Bartolini I, Patella M. Real-Time Stream Processing in Social Networks with RAM3S. Future Internet 2019;11(12):249
    CrossRef
  16. MacDougall D, Langley J, Li L, Ye L, MacKinnon-Cameron D, Top K, McNeil S, Halperin B, Swain A, Bettinger J, Dubé E, De Serres G, Halperin S. Knowledge, attitudes, beliefs, and behaviors of university students, faculty, and staff during a meningococcal serogroup B outbreak vaccination program. Vaccine 2017;35(18):2520
    CrossRef
  17. Bode L, Vraga EK. See Something, Say Something: Correction of Global Health Misinformation on Social Media. Health Communication 2018;33(9):1131
    CrossRef
  18. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  19. Marcon AR, Caulfield T, Schumacher U. Commenting on chiropractic: A YouTube analysis. Cogent Medicine 2017;4(1):1277450
    CrossRef
  20. Raghupathi V, Ren J, Raghupathi W. Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets. International Journal of Environmental Research and Public Health 2020;17(10):3464
    CrossRef
  21. Buente W, Rathnayake C, Neo R, Dalisay F, Kramer HK. Tradition Gone Mobile: An Exploration of #Betelnut on Instagram. Substance Use & Misuse 2020;55(9):1483
    CrossRef
  22. Wang Y, McKee M, Torbica A, Stuckler D. Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Social Science & Medicine 2019;240:112552
    CrossRef
  23. Wang Y, Fikis DJ. Common Core State Standards on Twitter: Public Sentiment and Opinion Leaders. Educational Policy 2019;33(4):650
    CrossRef
  24. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
    CrossRef
  25. Francia M, Gallinucci E, Golfarelli M. Social BI to understand the debate on vaccines on the Web and social media: unraveling the anti-, free, and pro-vax communities in Italy. Social Network Analysis and Mining 2019;9(1)
    CrossRef
  26. Tangherlini TR, Roychowdhury V, Glenn B, Crespi CM, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166
    CrossRef
  27. Pang R, Wei Z, Liu W, Chen Z, Cheng X, Zhang H, Li G, Liu L. Influence of the pandemic dissemination of COVID‐19 on facial rejuvenation: A survey of Twitter. Journal of Cosmetic Dermatology 2020;19(11):2778
    CrossRef
  28. Gastañaduy PA, Banerjee E, DeBolt C, Bravo-Alcántara P, Samad SA, Pastor D, Rota PA, Patel M, Crowcroft NS, Durrheim DN. Public health responses during measles outbreaks in elimination settings: Strategies and challenges. Human Vaccines & Immunotherapeutics 2018;14(9):2222
    CrossRef
  29. Yuan X, Schuchard RJ, Crooks AT. Examining Emergent Communities and Social Bots Within the Polarized Online Vaccination Debate in Twitter. Social Media + Society 2019;5(3):205630511986546
    CrossRef
  30. Smith CN, Seitz HH. Correcting Misinformation About Neuroscience via Social Media. Science Communication 2019;41(6):790
    CrossRef
  31. Oh HJ, Lee H. When Do People Verify and Share Health Rumors on Social Media? The Effects of Message Importance, Health Anxiety, and Health Literacy. Journal of Health Communication 2019;24(11):837
    CrossRef
  32. Kim I, Feng C, Wang Y, Spitzberg BH, Tsou M. Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea. The Professional Geographer 2017;69(4):629
    CrossRef
  33. Stefanidis A, Vraga E, Lamprianidis G, Radzikowski J, Delamater PL, Jacobsen KH, Pfoser D, Croitoru A, Crooks A. Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts. JMIR Public Health and Surveillance 2017;3(2):e22
    CrossRef
  34. Du L, Rachul C, Guo Z, Caulfield T. Gordie Howe’s “Miraculous Treatment”: Case Study of Twitter Users’ Reactions to a Sport Celebrity’s Stem Cell Treatment. JMIR Public Health and Surveillance 2016;2(1):e8
    CrossRef
  35. Anguera MT, Portell M, Chacón-Moscoso S, Sanduvete-Chaves S. Indirect Observation in Everyday Contexts: Concepts and Methodological Guidelines within a Mixed Methods Framework. Frontiers in Psychology 2018;9
    CrossRef
  36. van Lent LG, Sungur H, Kunneman FA, van de Velde B, Das E. Too Far to Care? Measuring Public Attention and Fear for Ebola Using Twitter. Journal of Medical Internet Research 2017;19(6):e193
    CrossRef
  37. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199
    CrossRef
  38. Rousidis D, Koukaras P, Tjortjis C. Social media prediction: a literature review. Multimedia Tools and Applications 2020;79(9-10):6279
    CrossRef
  39. Lwin M, Lu J, Sheldenkar A, Schulz P. Strategic Uses of Facebook in Zika Outbreak Communication: Implications for the Crisis and Emergency Risk Communication Model. International Journal of Environmental Research and Public Health 2018;15(9):1974
    CrossRef
  40. Lazard AJ, Saffer AJ, Wilcox GB, Chung AD, Mackert MS, Bernhardt JM. E-Cigarette Social Media Messages: A Text Mining Analysis of Marketing and Consumer Conversations on Twitter. JMIR Public Health and Surveillance 2016;2(2):e171
    CrossRef
  41. Porat T, Garaizar P, Ferrero M, Jones H, Ashworth M, Vadillo MA. Content and source analysis of popular tweets following a recent case of diphtheria in Spain. European Journal of Public Health 2019;29(1):117
    CrossRef
  42. Bridgman A, Merkley E, Zhilin O, Loewen PJ, Owen T, Ruths D. Infodemic Pathways: Evaluating the Role That Traditional and Social Media Play in Cross-National Information Transfer. Frontiers in Political Science 2021;3
    CrossRef
  43. Du J, Luo C, Shegog R, Bian J, Cunningham RM, Boom JA, Poland GA, Chen Y, Tao C. Use of Deep Learning to Analyze Social Media Discussions About the Human Papillomavirus Vaccine. JAMA Network Open 2020;3(11):e2022025
    CrossRef
  44. Gallagher J, Lawrence HY. Rhetorical Appeals and Tactics in New York Times Comments About Vaccines: Qualitative Analysis. Journal of Medical Internet Research 2020;22(12):e19504
    CrossRef
  45. 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
    CrossRef
  46. Yahata Y, Fielding JE, Kamiya H, Takimoto N, Ishii J, Fukusumi M, Sunagawa T. Factors associated with knowledges and attitudes about measles and rubella immunization in a non-health care occupational setting in Japan. Journal of Infection and Chemotherapy 2021;27(5):684
    CrossRef
  47. Prieto Santamaría L, Tuñas JM, Fernández Peces-Barba D, Jaramillo A, Cotarelo M, Menasalvas E, Conejo Fernández A, Arce A, Gil de Miguel A, Rodríguez González A. Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018. Human Vaccines & Immunotherapeutics 2022;18(1):1
    CrossRef
  48. Kim Y, Song D, Lee YJ. #Antivaccination on Instagram: A Computational Analysis of Hashtag Activism through Photos and Public Responses. International Journal of Environmental Research and Public Health 2020;17(20):7550
    CrossRef
  49. . A Framework for the Interaction of Active Audiences and Influencers on Twitter: The Case of Zika Virus. Journal of Information & Knowledge Management 2020;19(04):2050032
    CrossRef
  50. Thelwall M, Kousha K, Thelwall S. Covid-19 vaccine hesitancy on English-language Twitter. El profesional de la información 2021;
    CrossRef
  51. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
    CrossRef
  52. Featherstone JD, Barnett GA, Ruiz JB, Zhuang Y, Millam BJ. Exploring childhood anti-vaccine and pro-vaccine communities on twitter – a perspective from influential users. Online Social Networks and Media 2020;20:100105
    CrossRef
  53. Lynch M, Knezevic I, Ryan KL, Cahill N. Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice. Canadian Journal of Dietetic Practice and Research 2021;82(2):79
    CrossRef
  54. Fazel SS, Quinn EK, Ford-Sahibzada CA, Szarka S, Peters CE. Sunscreen Posts on Twitter in the United States and Canada, 2019: Content Analysis. JMIR Dermatology 2021;4(2):e29723
    CrossRef
  55. Alfatease A, Alqahtani AM, Orayj K, Alshahrani SM. The Impact of Social Media on the Acceptance of the COVID-19 Vaccine: A Cross-Sectional Study from Saudi Arabia. Patient Preference and Adherence 2021;Volume 15:2673
    CrossRef
  56. Doll MK, Correira JW. Revisiting the 2014-15 Disneyland measles outbreak and its influence on pediatric vaccinations. Human Vaccines & Immunotherapeutics 2021;17(11):4210
    CrossRef
  57. Mishra S, Verma A, Meena K, Kaushal R. Public reactions towards Covid-19 vaccination through twitter before and after second wave in India. Social Network Analysis and Mining 2022;12(1)
    CrossRef
  58. Thakur N, Han C. An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection. COVID 2022;2(8):1026
    CrossRef
  59. Liu X, Alsghaier H, Tong L, Ataullah A, McRoy S. Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches. JMIR AI 2022;1(1):e37751
    CrossRef
  60. Chen Q, Crooks A. Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic. International Journal of Applied Earth Observation and Geoinformation 2022;110:102783
    CrossRef
  61. . Ageing, health misinformation and mobile messaging apps. Catalan Journal of Communication & Cultural Studies 2021;13(2):233
    CrossRef
  62. Engel-Rebitzer E, Stokes DC, Meisel ZF, Purtle J, Doyle R, Buttenheim AM. Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis. JMIR Infodemiology 2022;2(1):e32372
    CrossRef
  63. Luo C, Chen A, Cui B, Liao W. Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics 2021;65:101712
    CrossRef
  64. Hu Z, Ma B, Bai R. Motivation to participate in secondary science communication. Frontiers in Psychology 2022;13
    CrossRef
  65. . İnfodemik Dünya: Sağlık Habercilerinin Pandemi Sürecinde İnfodemiye İlişkin Tespit ve Önerileri. İletişim Kuram ve Araştırma Dergisi 2021;2021(55):56
    CrossRef
  66. Lynch M, Knezevic I, Mah CL. Exploring food shopping behaviours through a study of Ottawa social media. Appetite 2022;168:105695
    CrossRef
  67. Haggerty T, Sedney CL, Cowher A, Holland D, Davisson L, Dekeseredy P. Twitter and Communicating Stigma about Medications to Treat Obesity. Health Communication 2023;38(14):3238
    CrossRef
  68. Walter D, Ophir Y, Lokmanoglu AD, Pruden ML. Vaccine discourse in white nationalist online communication: A mixed-methods computational approach. Social Science & Medicine 2022;298:114859
    CrossRef
  69. López-Rodríguez G, Castillo-Eslava F. A Comparative Study of Military Communication on Instagram: A Research Note. Armed Forces & Society 2023;:0095327X2211494
    CrossRef
  70. Khademi Habibabadi S, Delir Haghighi P, Burstein F, Buttery J. Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study. JMIR Medical Informatics 2022;10(6):e34305
    CrossRef
  71. Batool SH, Ahmed W, Mahmood K, Sharif A. Social network analysis of Twitter data from Pakistan during COVID-19. Information Discovery and Delivery 2022;50(4):353
    CrossRef
  72. Mittal R, Mittal A, Aggarwal I. Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak. Social Network Analysis and Mining 2021;11(1)
    CrossRef
  73. Sano Y, Hori A, Kolahi J. 12-year observation of tweets about rubella in Japan: A retrospective infodemiology study. PLOS ONE 2023;18(5):e0285101
    CrossRef
  74. . Exploring health misinformation on WhatsApp within the African migrant and refugee community in Southeast Queensland (SEQ). Media International Australia 2023;189(1):8
    CrossRef
  75. Singh L, Gresenz CR. Social Media Data for Firearms Research: Promise and Perils. The ANNALS of the American Academy of Political and Social Science 2022;704(1):267
    CrossRef
  76. . Investigating and Analyzing Self-Reporting of Long COVID on Twitter: Findings from Sentiment Analysis. Applied System Innovation 2023;6(5):92
    CrossRef
  77. Thakur N, Duggal YN, Liu Z. Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. Computers 2023;12(10):191
    CrossRef
  78. . Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116
    CrossRef
  79. Silva MEP, Skeva R, House T, Jay C. Tracking the structure and sentiment of vaccination discussions on Mumsnet. Social Network Analysis and Mining 2023;13(1)
    CrossRef
  80. Terry K, Yang F, Yao Q, Liu C. The role of social media in public health crises caused by infectious disease: a scoping review. BMJ Global Health 2023;8(12):e013515
    CrossRef
  81. Huang L, Eiden AL, He L, Annan A, Wang S, Wang J, Manion FJ, Wang X, Du J, Yao L. Vaccine sentiments and hesitancy on social media: a natural language processing-powered real-time monitoring system (Preprint). JMIR Medical Informatics 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.5059):

  1. Koukaras P, Rousidis D, Tjortjis C. Advanced Computational Intelligence in Healthcare-7. 2020. Chapter 8:121
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  2. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
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  3. Rodríguez-Medina J, Rodríguez-Triana MJ, Eradze M, García-Sastre S. Lifelong Technology-Enhanced Learning. 2018. Chapter 58:617
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  4. Selkälä A, Callegaro M, Couper MP. Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis. 2020. Chapter 10:130
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  5. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Social Media and the Armed Forces. 2020. Chapter 9:145
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  6. . The International Encyclopedia of Media Psychology. 2020. :1
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  7. Leightley D, Sharp M, Williamson V, Fear NT, Gribble R. Soziale Medien und die Streitkräfte. 2023. Chapter 9:183
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  8. Walter D, Ophir Y. Vaccine Communication Online. 2023. Chapter 6:103
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