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Citing this Article

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Published on 31.10.13 in Vol 15, No 10 (2013): October

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

Works citing "Enabling Community Through Social Media"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2796):

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

  1. Rykov YG, Meylakhs PA. Network Structure of an AIDS-Denialists Online Community: Identifying Core Members and the Risk Group. SSRN Electronic Journal 2016;
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  5. Pechmann C, Delucchi K, Lakon CM, Prochaska JJ. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tobacco Control 2017;26(2):188
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  6. Hamad EO, Savundranayagam MY, Holmes JD, Kinsella EA, Johnson AM. Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds. Journal of Medical Internet Research 2016;18(3):e60
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  7. Meenakshi SP, Sivakumar P, Ilango P. Effective Health Promotion Interventions for Targeted Audience using Social Networking Sites: A Systematic Review. Indian Journal of Science and Technology 2017;10(36):1
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  8. Urbanoski K, van Mierlo T, Cunningham J. Investigating Patterns of Participation in an Online Support Group for Problem Drinking: a Social Network Analysis. International Journal of Behavioral Medicine 2017;24(5):703
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  9. Du H, Venkatakrishnan A, Youngblood GM, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4
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  10. Chan WS, Leung AY. Use of Social Network Sites for Communication Among Health Professionals: Systematic Review. Journal of Medical Internet Research 2018;20(3):e117
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  11. Dhaliwal D, Mannion C. Antivaccine Messages on Facebook: Preliminary Audit. JMIR Public Health and Surveillance 2020;6(4):e18878
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  12. Tougas ME, Chambers CT, Corkum P, Robillard JM, Gruzd A, Howard V, Kampen A, Boerner KE, Hundert AS. Social Media Content About Children’s Pain and Sleep: Content and Network Analysis. JMIR Pediatrics and Parenting 2018;1(2):e11193
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  13. Ben Taleb Z, Laestadius LI, Asfar T, Primack BA, Maziak W. #Hookahlife: The Rise of Waterpipe Promotion on Instagram. Health Education & Behavior 2019;46(1):106
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  14. Townsend A, Leese J, Adam P, McDonald M, Li LC, Kerr S, Backman CL. eHealth, Participatory Medicine, and Ethical Care: A Focus Group Study of Patients’ and Health Care Providers’ Use of Health-Related Internet Information. Journal of Medical Internet Research 2015;17(6):e155
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  15. Gruzd A, Kumar P, Abul-Fottouh D, Haythornthwaite C. Coding and Classifying Knowledge Exchange on Social Media: a Comparative Analysis of the #Twitterstorians and AskHistorians Communities. Computer Supported Cooperative Work (CSCW) 2020;29(6):629
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  16. Mačiulienė M, Skaržauskienė A. Building the capacities of civic tech communities through digital data analytics. Journal of Innovation & Knowledge 2020;5(4):244
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  17. Tamí-Maury I, Brown L, Lapham H, Chang S. Community-based participatory research through virtual communities. Journal of Communication in Healthcare 2017;:1
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  18. Rykov Y, Sinyavskaya Y, Koltsova OY. Accumulating Social Capital in an Online Urban Network: The Effects of User Behaviors. SSRN Electronic Journal 2018;
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  19. Gruzd A, Tsyganova K. Information Wars and Online Activism During the 2013/2014 Crisis in Ukraine: Examining the Social Structures of Pro‐ and Anti‐Maidan Groups. Policy & Internet 2015;7(2):121
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  20. . Communication of communities: linguistic signals of online groups. Information, Communication & Society 2016;19(9):1233
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  21. . Learning in a Twitter-based community of practice: an exploration of knowledge exchange as a motivation for participation in #hcsmca. Information, Communication & Society 2016;19(9):1214
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  22. Gopalsamy R, Semenov A, Pasiliao E, McIntosh S, Nikolaev A. Engagement as a Driver of Growth of Online Health Forums: Observational Study. Journal of Medical Internet Research 2017;19(8):e304
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  23. Pechmann CA, Calder D, Phillips C, Delucchi K, Prochaska JJ. The Use of Web-Based Support Groups Versus Usual Quit-Smoking Care for Men and Women Aged 21-59 Years: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(1):e16417
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  24. Shang L, Zuo M, Ma D, Yu Q. The Antecedents and Consequences of Health Care Professional–Patient Online Interactions: Systematic Review. Journal of Medical Internet Research 2019;21(9):e13940
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  25. Jalali A, Sherbino J, Frank J, Sutherland S. Social media and medical education: Exploring the potential of Twitter as a learning tool. International Review of Psychiatry 2015;27(2):140
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  26. Buente W, Dalisay F, Pokhrel P, Kramer HK, Pagano I. An Instagram-Based Study to Understand Betel Nut Use Culture in Micronesia: Exploratory Content Analysis. Journal of Medical Internet Research 2020;22(7):e13954
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  27. Carron-Arthur B, Ali K, Cunningham JA, Griffiths KM. From Help-Seekers to Influential Users: A Systematic Review of Participation Styles in Online Health Communities. Journal of Medical Internet Research 2015;17(12):e271
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  28. Buhr HR, Hoepner JK, Miller H, Johnson C. AphasiaWeb: development and evaluation of an aphasia-friendly social networking application. Aphasiology 2017;31(9):999
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  29. Zavattaro SM, Brainard LA. Social media as micro-encounters. International Journal of Public Sector Management 2019;32(5):562
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  30. Jane M, Hagger M, Foster J, Ho S, Kane R, Pal S, Atkin SL. Effects of a weight management program delivered by social media on weight and metabolic syndrome risk factors in overweight and obese adults: A randomised controlled trial. PLOS ONE 2017;12(6):e0178326
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  31. Chan WS, Leung AY. Facebook as a Novel Tool for Continuous Professional Education on Dementia: Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(6):e16772
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  32. Pechmann C, Pan L, Delucchi K, Lakon CM, Prochaska JJ. Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages. Journal of Medical Internet Research 2015;17(2):e50
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  33. Gruzd A, Haythornthwaite C, Paulin D, Gilbert S, del Valle ME. Uses and Gratifications factors for social media use in teaching: Instructors’ perspectives. New Media & Society 2018;20(2):475
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  34. . Rethinking learning spaces: networks, structures, and possibilities for learning in the twenty-first century. Communication Research and Practice 2015;1(4):292
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  35. Rykov YG, Meylakhs PA, Sinyavskaya YE. Network Structure of an AIDS-Denialist Online Community: Identifying Core Members and the Risk Group. American Behavioral Scientist 2017;61(7):688
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  36. Mishori R, Singh LO, Levy B, Newport C. Mapping Physician Twitter Networks: Describing How They Work as a First Step in Understanding Connectivity, Information Flow, and Message Diffusion. Journal of Medical Internet Research 2014;16(4):e107
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  37. . Harnessing the Social Web for Health and Wellness: Issues for Research and Knowledge Translation. Journal of Medical Internet Research 2014;16(2):e34
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  38. Carron-Arthur B, Reynolds J, Bennett K, Bennett A, Cunningham JA, Griffiths KM. Community Structure of a Mental Health Internet Support Group: Modularity in User Thread Participation. JMIR Mental Health 2016;3(2):e20
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  39. Li H, Sakamoto Y. Computing the Veracity of Information Through Crowds: A Method for Reducing the Spread of False Messages on Social Media. SSRN Electronic Journal 2015;
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  40. Utengen A, Rouholiman D, Gamble JG, Grajales III FJ, Pradhan N, Staley AC, Bernstein L, Young SD, Clauson KA, Chu LF. Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers. Journal of Medical Internet Research 2017;19(8):e280
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  41. Barnes SS, Kaul V, Kudchadkar SR. Social Media Engagement and the Critical Care Medicine Community. Journal of Intensive Care Medicine 2019;34(3):175
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  42. Rykov Y, Koltsova O, Sinyavskaya Y, Bovet A. Effects of user behaviors on accumulation of social capital in an online social network. PLOS ONE 2020;15(4):e0231837
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  43. Dergacheva D, Tous-Rovirosa A. Government’s echo. Twitter discussions around news topics in Russian networked authoritarianism. Russian Journal of Communication 2021;13(2):117
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  44. Geirdal A, Ruffolo M, Leung J, Thygesen H, Price D, Bonsaksen T, Schoultz M. Mental health, quality of life, wellbeing, loneliness and use of social media in a time of social distancing during the COVID-19 outbreak. A cross-country comparative study. Journal of Mental Health 2021;30(2):148
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  45. Patten CA, Balls-Berry JE, Cohen EL, Brockman TA, Valdez Soto M, West IW, Cha J, Zavala Rocha MG, Eder M. Feasibility of a virtual Facebook community platform for engagement on health research. Journal of Clinical and Translational Science 2021;5(1)
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  46. Motyka MA, Al-Imam A. Representations of Psychoactive Drugs’ Use in Mass Culture and Their Impact on Audiences. International Journal of Environmental Research and Public Health 2021;18(11):6000
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  47. Mazel S, Zisman-Ilani Y, Hennig S, Garnick D, Nicholson J. Virtual Engagement in a Social Media Community of Mothers With Substance Use Disorders: Content Analysis. JMIR Formative Research 2021;5(6):e24353
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  48. Shaikh HJ, Brodell BJ, Soin SP. “Social media perceptions of hip fractures: A two-year cross-sectional analysis”. Injury 2023;54(4):1176
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  49. . Understanding online conversations about COVID-19 vaccine on Twitter: vaccine hesitancy amid the public health crisis. Communication Research Reports 2021;38(5):346
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  50. . Studying the Community of Trump Supporters on Twitter during the 2020 US Presidential Election via Hashtags #maga and #trump2020. Journalism and Media 2021;2(4):709
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  51. . Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions. Analytics 2022;1(2):72
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  52. Ben Sedrine Doghri S, Bouderbala A, Melliti S. Etude de l’impact des réseaux sociaux sur l’engagement des cadres au sein des PMEs. Gestion 2000 2020;Volume 36(4):117
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  53. Edwards E, Ford S, Gajjala R, N, Bhatia KV. Shaheen Bagh: Making sense of (re)emerging “Subaltern” feminist political subjectivities in hashtag publics through critical, feminist interventions. New Media & Society 2024;26(1):473
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  54. Chen L, Liebler CM. #MeToo on Twitter: The migration of celebrity capital and social capital in online celebrity advocacy. New Media & Society 2022;:146144482211358
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  55. Dadich A, Wells R, Williams SJ, Taskin N, Coskun M, Grenier C, Ponsignon F, Scahill S, Best S. Cues Disseminated by Professional Associations That Represent 5 Health Care Professions Across 5 Nations: Lexical Analysis of Tweets. Journal of Medical Internet Research 2023;25:e42927
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  56. . Research Synthesis. Public Opinion Quarterly 2022;85(4):1103
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  57. Darshan B, Kalyani S, Popov E, Chevtaeva N, Strielkovski W. Social media participatory development communication during COVID-19 by Elected Women Representatives (EWR) of Panchayati Raj Institutions (PRI) in India. SHS Web of Conferences 2021;128:05005
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  58. Yang L, Lin Z. The Impact of “Social Networking +” Technology on the Social Inclusion of People With Mobility Impairments in China. Social Media + Society 2022;8(1):205630512210770
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  59. Falgoust G, Winterlind E, Moon P, Parker A, Zinzow H, Chalil Madathil K. Applying the uses and gratifications theory to identify motivational factors behind young adult's participation in viral social media challenges on TikTok. Human Factors in Healthcare 2022;2:100014
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  60. Tang M, Jung Y, LI Y. Exploring the sociotechnical system of Chinese internet literature online forums: a social network analytical approach. Online Information Review 2023;47(3):505
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  61. Imani Rad A, Banaeian Far S. SocialFi transforms social media: an overview of key technologies, challenges, and opportunities of the future generation of social media. Social Network Analysis and Mining 2023;13(1)
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  62. Balt E, Mérelle S, Robinson J, Popma A, Creemers D, van den Brand I, van Bergen D, Rasing S, Mulder W, Gilissen R. Social media use of adolescents who died by suicide: lessons from a psychological autopsy study. Child and Adolescent Psychiatry and Mental Health 2023;17(1)
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  63. Kosar SA, Muruthi BA, Shivers C, Zarate J, Byron J. Millennials and Generation Z: Men’s Perspectives on Hashtag Feminism. The Journal of Men’s Studies 2023;31(3):478
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  64. . Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions. SSRN Electronic Journal 2022;
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  65. B. M. D, Suresh K. Social Media-Enabled Sustainable Communities: A Case of Indian Elected Women Representatives (EWRs). Sustainability 2023;15(15):11485
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  66. Cheng T, Han B, Liu Y. Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data. Frontiers in Public Health 2023;11
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  67. Ma C, Qirui C, Lv Y. “One community at a time”: promoting community resilience in the face of natural hazards and public health challenges. BMC Public Health 2023;23(1)
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  68. Liljeström L, Bern C, Ferati M. Voicing barriers: accessibility for visually impaired voiceover users on audio chat platforms. Universal Access in the Information Society 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2796):

  1. Dimitrova D, Wellman B. Advanced Methodologies and Technologies in Media and Communications. 2019. chapter 35:441
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  2. Zeng X, McKenna B, Richter S, Cai W. Information Systems. 2019. Chapter 23:272
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  3. . The Social Lives of Networked Students. 2019. Chapter 3:53
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  4. Del Valle ME, Gruzd A, Kumar P, Gilbert S. Mobility, Data and Learner Agency in Networked Learning. 2020. Chapter 4:51
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  5. Dimitrova D, Wellman B. Encyclopedia of Information Science and Technology, Fourth Edition. 2018. chapter 612:7057
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  6. Gomez-Vasquez L, Romero-Hall E. Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. 2020. Chapter 38:526
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  7. Goldstein CM, Luke A. Encyclopedia of Behavioral Medicine. 2016. Chapter 101953-1:1
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  8. . Cognition and Addiction. 2020. :331
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  9. Goldstein CM, Luke A. Encyclopedia of Behavioral Medicine. 2020. Chapter 101953:2092
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  10. . The Cambridge Handbook of Cognitive Development. 2022. 4:85
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  11. Vitale MP, Catone MC, Primerano I, Giordano G. Handbook of Research on Advanced Research Methodologies for a Digital Society. 2021. chapter 33:571
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  12. Giyahchi T, Singh S, Harris I, Pechmann C. Multimodal AI in Healthcare. 2023. Chapter 5:59
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