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Citing this Article

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Published on 19.08.13 in Vol 15, No 8 (2013): August

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

Works citing "Use of Twitter Among Local Health Departments: An Analysis of Information Sharing, Engagement, and Action"

Brad L Neiger, Rosemary Thackeray, Scott H Burton, Callie R Thackeray, Jennifer H Reese

J Med Internet Res 2013 (Aug 19); 15(8):e177 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2775):

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

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  32. Pinho-Costa L, Yakubu K, Hoedebecke K, Laranjo L, Reichel CP, Colon-Gonzalez MDC, Neves AL, Errami H. Healthcare hashtag index development: Identifying global impact in social media. Journal of Biomedical Informatics 2016;63:390
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  33. Thackeray R, Neiger BL, Burton SH, Thackeray CR. Analysis of the Purpose of State Health Departments' Tweets: Information Sharing, Engagement, and Action. Journal of Medical Internet Research 2013;15(11):e255
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  36. Zhou H, Pan Q. Information, Community, and Action on Sina-Weibo: How Chinese Philanthropic NGOs Use Social Media. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations 2016;27(5):2433
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  37. . Patients’ experiences of radiotherapy: Insights from Twitter. Radiography 2020;26(3):e146
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  38. Olson MK, Sutton J, Vos SC, Prestley R, Renshaw SL, Butts CT. Build community before the storm: The National Weather Service's social media engagement. Journal of Contingencies and Crisis Management 2019;27(4):359
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  39. Hart M, Stetten N, Castaneda G. Considerations for Public Health Organizations Attempting to Implement a Social Media Presence: A Qualitative Study. JMIR Public Health and Surveillance 2016;2(1):e6
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  40. McHugh MC, Saperstein SL, Gold RS. OMG U #Cyberbully! An Exploration of Public Discourse About Cyberbullying on Twitter. Health Education & Behavior 2019;46(1):97
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  41. Jordan SR, Rudeen S, Hu D, Diotalevi JL, Brown FI, Miskovic P, Yang H, Colonna M, Draper D. The Difference a Smile Makes: Effective Use of Imagery by Children’s Nonprofit Organizations. Journal of Nonprofit & Public Sector Marketing 2019;31(3):227
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  42. Lister C, Royne M, Payne HE, Cannon B, Hanson C, Barnes M. The Laugh Model: Reframing and Rebranding Public Health Through Social Media. American Journal of Public Health 2015;105(11):2245
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  43. Xu WW, Chiu I, Chen Y, Mukherjee T. Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice. Quality & Quantity 2015;49(4):1361
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  44. Tursunbayeva A, Franco M, Pagliari C. Use of social media for e-Government in the public health sector: A systematic review of published studies. Government Information Quarterly 2017;34(2):270
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  45. Gesser-Edelsburg A, Shir-Raz Y, Walter N, Mordini E, Dimitriou D, James JJ, Green MS. The Public Sphere in Emerging Infectious Disease Communication: Recipient or Active and Vocal Partner?. Disaster Medicine and Public Health Preparedness 2015;9(4):447
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  46. Rabarison KM, Croston MA, Englar NK, Bish CL, Flynn SM, Johnson CC. Measuring Audience Engagement for Public Health Twitter Chats: Insights From #LiveFitNOLA. JMIR Public Health and Surveillance 2017;3(2):e34
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  47. Harris JK, Choucair B, Maier RC, Jolani N, Bernhardt JM. Are Public Health Organizations Tweeting to the Choir? Understanding Local Health Department Twitter Followership. Journal of Medical Internet Research 2014;16(2):e31
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  48. Steffens MS, Dunn AG, Wiley KE, Leask J. How organisations promoting vaccination respond to misinformation on social media: a qualitative investigation. BMC Public Health 2019;19(1)
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  49. Prabhu V, Rosenkrantz AB. Imbalance of Opinions Expressed on Twitter Relating to CT Radiation Risk: An Opportunity for Increased Radiologist Representation. American Journal of Roentgenology 2015;204(1):W48
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  50. Tufts C, Polsky D, Volpp KG, Groeneveld PW, Ungar L, Merchant RM, Pelullo AP. Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis. JMIR Public Health and Surveillance 2018;4(4):e10834
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  51. 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
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  52. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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  53. Ngai CSB, Singh RG, Lu W, Bovet A. Exploring drivers for public engagement in social media communication with medical social influencers in China. PLOS ONE 2020;15(10):e0240303
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  54. Plackett R, Kaushal A, Kassianos AP, Cross A, Lewins D, Sheringham J, Waller J, von Wagner C. Use of Social Media to Promote Cancer Screening and Early Diagnosis: Scoping Review. Journal of Medical Internet Research 2020;22(11):e21582
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  55. YERLİKAYA T, EFE , AKDEMİR KH. Pandemi Sürecinde Yabancı Medya Ajanslarının Twitter Paylaşımlarının İçerik Analizi: BBC Türkçe, DW Türkçe ve Independent Türkçe Örnekleri. Erciyes İletişim Dergisi 2021;8(1):87
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  56. Kim HM, Saffer AJ, Liu W, Sun J, Li Y, Zhen L, Yang A. How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement. Health Communication 2022;37(10):1276
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  57. Alanazi E, Alashaikh A, Alqurashi S, Alanazi A. Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis. Journal of Medical Internet Research 2020;22(11):e21329
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  58. Manheim D, Gesser-Edelsburg A. The Structure of Tweets About Vaccine Safety Between Health Organizations, Experts, and the Public: Analyzing Risk Communication Conversations. Disaster Medicine and Public Health Preparedness 2022;16(3):927
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  59. Slavik CE, Darlington JC, Buttle C, Sturrock SL, Yiannakoulias N. Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies. Health & Place 2021;69:102568
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  60. Meadows CZ, Meadows CW, Tang L. The CDC and State Health Department Facebook Messages: An Examination of Frames and the Extended Parallel Processing Model. Communication Studies 2020;71(5):740
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  61. Slavik CE, Buttle C, Sturrock SL, Darlington JC, Yiannakoulias N. Examining Tweet Content and Engagement of Canadian Public Health Agencies and Decision Makers During COVID-19: Mixed Methods Analysis. Journal of Medical Internet Research 2021;23(3):e24883
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  62. Ramsingh J, Bhuvaneswari V. An integrated multi-node Hadoop framework to predict high-risk factors of Diabetes Mellitus using a Multilevel MapReduce based Fuzzy Classifier (MMR-FC) and Modified DBSCAN algorithm. Applied Soft Computing 2021;108:107423
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  63. . Sağlık İletişimi ve Sosyal Medya: Sivil Toplum Kuruluşlarının Twitter Kullanımı Üzerine Değerlendirme. Celal Bayar Üniversitesi Sosyal Bilimler Dergisi 2021;
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  64. . ONLINE PANDEMİ: COVID-19 PANDEMİSİNE İLİŞKİN TWITTER’DA PAYLAŞILAN SAĞLIK BİLGİLERİNİN TEMATİK ANALİZİ. Gümüşhane Üniversitesi İletişim Fakültesi Elektronik Dergisi 2021;9(2):911
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  65. Kaushal A, Bravo C, Duffy S, Lewins D, Möhler R, Raine R, Vlaev I, Waller J, von Wagner C. Developing Reporting Guidelines for Social Media Research (RESOME) by Using a Modified Delphi Method: Protocol for Guideline Development. JMIR Research Protocols 2022;11(5):e31739
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  66. Gomez-Vasquez L, Romero-Hall E, Jaramillo Cherrez N, Ghani S, Rodriguez A, Ripine C. Keeping Citizens Informed and Engaged During the COVID-19 Pandemic Using #YoMeInformoPMA: A Case from Latin America. Health Communication 2023;38(9):1813
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  67. SULTANOĞLU H, BOĞAN M, DEMİR MC, ERDEM SULTANOĞLU T. Analysis of 12-lead electrocardiograms shared on Twitter. Journal of Contemporary Medicine 2022;12(3):460
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  68. Ibrahim WMA, Abaalalaa HS, Hardie A. Pre-suasive and persuasive strategies in the tweets of the Saudi Ministry of Health during the 2020 coronavirus pandemic: A corpus linguistic exploration. Frontiers in Communication 2022;7
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  71. Gunawong P, Leerasiri W. Information Sharing in Solving an Opium Problem: Multiple-Agency Management with Integration of Online and Offline Channels. Sustainability 2022;14(13):8043
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  72. Kwon S, Park A. Examining thematic and emotional differences across Twitter, Reddit, and YouTube: The case of COVID-19 vaccine side effects. Computers in Human Behavior 2023;144:107734
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  73. . Population Control, Deadly Vaccines, and Mutant Mosquitoes: The Construction and Circulation of Zika Virus Conspiracy Theories Online. Canadian Journal of Communication 2019;44(2):211
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2775):

  1. . Information Diffusion Management and Knowledge Sharing. 2020. chapter 34:690
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  2. Aboelmaged MG, Thomas SS, Elsheikh S. Handbook of Research on Healthcare Administration and Management. 2017. chapter 25:428
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  3. Diug B, Kendal E. Teaching Medicine and Medical Ethics Using Popular Culture. 2017. Chapter 7:115
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  4. Munoriyarwa A, Chambwera C. Social Media and Elections in Africa, Volume 1. 2020. Chapter 5:75
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  5. Malik M, Naaz S. Computer Networks, Big Data and IoT. 2021. Chapter 31:379
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  6. . Mobile Storytelling in an Age of Smartphones. 2021. Chapter 7:85
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