Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 26.02.16 in Vol 18, No 2 (2016): February

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

Works citing "Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection"

Yoonsang Kim, Jidong Huang, Sherry Emery

J Med Internet Res 2016 (Feb 26); 18(2):e41 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4738):

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

  1. Kostygina G, Tran H, Shi Y, Kim Y, Emery S. ‘Sweeter Than a Swisher’: amount and themes of little cigar and cigarillo content on Twitter. Tobacco Control 2016;25(Suppl 1):i75
    CrossRef
  2. Zhou L, Zhang D, Yang CC, Wang Y. Harnessing social media for health information management. Electronic Commerce Research and Applications 2018;27:139
    CrossRef
  3. Allem J, Ferrara E. The Importance of Debiasing Social Media Data to Better Understand E-Cigarette-Related Attitudes and Behaviors. Journal of Medical Internet Research 2016;18(8):e219
    CrossRef
  4. Lienemann BA, Unger JB, Cruz TB, Chu K. Methods for Coding Tobacco-Related Twitter Data: A Systematic Review. Journal of Medical Internet Research 2017;19(3):e91
    CrossRef
  5. Ramos CMQ, Casado-Molina AM, Ignácio-Peláez J. An Innovative Management Perspective for Organizations through a Reputation Intelligence Management Model. International Journal of Information Systems in the Service Sector 2019;11(4):1
    CrossRef
  6. Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
    CrossRef
  7. Kim Y, Nordgren R, Emery S. The Story of Goldilocks and Three Twitter’s APIs: A Pilot Study on Twitter Data Sources and Disclosure. International Journal of Environmental Research and Public Health 2020;17(3):864
    CrossRef
  8. Jeong S, Kuk S, Kim H. A Smartphone Magnetometer-Based Diagnostic Test for Automatic Contact Tracing in Infectious Disease Epidemics. IEEE Access 2019;7:20734
    CrossRef
  9. Dyda A, Shah Z, Surian D, Martin P, Coiera E, Dey A, Leask J, Dunn AG. HPV vaccine coverage in Australia and associations with HPV vaccine information exposure among Australian Twitter users. Human Vaccines & Immunotherapeutics 2019;15(7-8):1488
    CrossRef
  10. Aramburu MJ, Berlanga R, Lanza I. Social Media Multidimensional Analysis for Intelligent Health Surveillance. International Journal of Environmental Research and Public Health 2020;17(7):2289
    CrossRef
  11. Kedzior SG, Bianco-Miotto T, Breen J, Diener KR, Donnelley M, Dunning KR, Penno MA, Schjenken JE, Sharkey DJ, Hodyl NA, Fullston T, Gardiner M, Brown HM, Rumbold AR. It takes a community to conceive: an analysis of the scope, nature and accuracy of online sources of health information for couples trying to conceive. Reproductive Biomedicine & Society Online 2019;9:48
    CrossRef
  12. Mirtalaie MA, Hussain OK. Sentiment aggregation of targeted features by capturing their dependencies: Making sense from customer reviews. International Journal of Information Management 2020;53:102097
    CrossRef
  13. Zinsstag J, Crump L, Schelling E, Hattendorf J, Maidane YO, Ali KO, Muhummed A, Umer AA, Aliyi F, Nooh F, Abdikadir MI, Ali SM, Hartinger S, Mäusezahl D, de White MBG, Cordon-Rosales C, Castillo DA, McCracken J, Abakar F, Cercamondi C, Emmenegger S, Maier E, Karanja S, Bolon I, de Castañeda RR, Bonfoh B, Tschopp R, Probst-Hensch N, Cissé G. Climate change and One Health. FEMS Microbiology Letters 2018;365(11)
    CrossRef
  14. Albalawi Y, Nikolov NS, Buckley J. Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis. Journal of Medical Internet Research 2019;21(10):e14731
    CrossRef
  15. Adams N, Artigiani EE, Wish ED. Choosing Your Platform for Social Media Drug Research and Improving Your Keyword Filter List. Journal of Drug Issues 2019;49(3):477
    CrossRef
  16. Bunyan A, Venuturupalli S, Reuter K. Expressed Symptoms and Attitudes Toward Using Twitter for Health Care Engagement Among Patients With Lupus on Social Media: Protocol for a Mixed Methods Study. JMIR Research Protocols 2021;10(5):e15716
    CrossRef
  17. Kim Y, Huang J, Emery S. The Research Topic Defines “Noise” in Social Media Data – a Response from the Authors. Journal of Medical Internet Research 2017;19(6):e165
    CrossRef
  18. Cho H, Silver N, Na K, Adams D, Luong KT, Song C. Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks. Journal of Medical Internet Research 2018;20(9):e10501
    CrossRef
  19. O'Connor K, Sarker A, Perrone J, Gonzalez Hernandez G. Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of Medical Internet Research 2020;22(2):e15861
    CrossRef
  20. Stens O, Weisman MH, Simard J, Reuter K. Insights From Twitter Conversations on Lupus and Reproductive Health: Protocol for a Content Analysis. JMIR Research Protocols 2020;9(8):e15623
    CrossRef
  21. Guiñazú MF, Cortés V, Ibáñez CF, Velásquez JD. Employing online social networks in precision-medicine approach using information fusion predictive model to improve substance use surveillance: A lesson from Twitter and marijuana consumption. Information Fusion 2020;55:150
    CrossRef
  22. Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
    CrossRef
  23. Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156
    CrossRef
  24. Delir Haghighi P, Kang Y, Buchbinder R, Burstein F, Whittle S. Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter. JMIR Public Health and Surveillance 2017;3(1):e4
    CrossRef
  25. Rose SW, Jo CL, Binns S, Buenger M, Emery S, Ribisl KM. Perceptions of Menthol Cigarettes Among Twitter Users: Content and Sentiment Analysis. Journal of Medical Internet Research 2017;19(2):e56
    CrossRef
  26. Goncalves M, Cornelius Smith E. Social media as a data gathering tool for international business qualitative research: opportunities and challenges. Journal of Transnational Management 2018;23(2-3):66
    CrossRef
  27. Rashid MT, Wang D. CovidSens: a vision on reliable social sensing for COVID-19. Artificial Intelligence Review 2021;54(1):1
    CrossRef
  28. . Feminist Twitter and Gender Attitudes: Opportunities and Limitations to Using Twitter in the Study of Public Opinion. Socius: Sociological Research for a Dynamic World 2018;4:237802311878076
    CrossRef
  29. Thrasher JF, Brewer NT, Niederdeppe J, Peters E, Strasser AA, Grana R, Kaufman AR. Advancing Tobacco Product Warning Labels Research Methods and Theory: A Summary of a Grantee Meeting Held by the US National Cancer Institute. Nicotine & Tobacco Research 2019;21(7):855
    CrossRef
  30. Cabitza F, Locoro A, Alderighi C, Rasoini R, Compagnone D, Berjano P. The elephant in the record: On the multiplicity of data recording work. Health Informatics Journal 2019;25(3):475
    CrossRef
  31. Reuter K, Angyan P, Le N, MacLennan A, Cole S, Bluthenthal RN, Lane CJ, El-Khoueiry AB, Buchanan TA. Monitoring Twitter Conversations for Targeted Recruitment in Cancer Trials in Los Angeles County: Protocol for a Mixed-Methods Pilot Study. JMIR Research Protocols 2018;7(9):e177
    CrossRef
  32. Chae SH, Kim Y, Lee K, Park H. Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study. JMIR mHealth and uHealth 2020;8(7):e17216
    CrossRef
  33. Lazard AJ, Wilcox GB, Tuttle HM, Glowacki EM, Pikowski J. Public reactions to e-cigarette regulations on Twitter: a text mining analysis. Tobacco Control 2017;26(e2):e112
    CrossRef
  34. Colditz JB, Chu K, Emery SL, Larkin CR, James AE, Welling J, Primack BA. Toward Real-Time Infoveillance of Twitter Health Messages. American Journal of Public Health 2018;108(8):1009
    CrossRef
  35. Roeseler A, Meaney M, Riordan M, Solomon M, Herndon S, Hallett C. NCI's state and community research initiative: a model for future tobacco control research. Tobacco Control 2016;25(Suppl 1):i1
    CrossRef
  36. Syamsuddin M, Fakhruddin M, Sahetapy-Engel JTM, Soewono E. Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(7):e17633
    CrossRef
  37. Sullivan M, Robinson S, Littnan C, Lepczyk CA. Social media as a data resource for #monkseal conservation. PLOS ONE 2019;14(10):e0222627
    CrossRef
  38. Hand RK, Kenne D, Wolfram TM, Abram JK, Fleming M. Assessing the Viability of Social Media for Disseminating Evidence-Based Nutrition Practice Guideline Through Content Analysis of Twitter Messages and Health Professional Interviews: An Observational Study. Journal of Medical Internet Research 2016;18(11):e295
    CrossRef
  39. 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
  40. Phengsuwan J, Shah T, Thekkummal NB, Wen Z, Sun R, Pullarkatt D, Thirugnanam H, Ramesh MV, Morgan G, James P, Ranjan R. Use of Social Media Data in Disaster Management: A Survey. Future Internet 2021;13(2):46
    CrossRef
  41. Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77
    CrossRef
  42. Bulcock A, Hassan L, Giles S, Sanders C, Nenadic G, Campbell S, Dixon W. Public Perspectives of Using Social Media Data to Improve Adverse Drug Reaction Reporting: A Mixed-Methods Study. Drug Safety 2021;44(5):553
    CrossRef
  43. He L, Yin T, Hu Z, Chen Y, Hanauer DA, Zheng K. Developing a standardized protocol for computational sentiment analysis research using health-related social media data. Journal of the American Medical Informatics Association 2021;28(6):1125
    CrossRef
  44. Reuter K, Rocca E. Correspondence on ‘Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis’. Annals of the Rheumatic Diseases 2023;82(4):e91
    CrossRef
  45. Reuter K, Lee D. Perspectives Toward Seeking Treatment Among Patients With Psoriasis: Protocol for a Twitter Content Analysis. JMIR Research Protocols 2021;10(2):e13731
    CrossRef
  46. Kim Y, Emery SL, Vera L, David B, Huang J. At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017–2018). Tobacco Control 2021;30(2):137
    CrossRef
  47. Radwan E, Radwan A, Radwan W. The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine. Heliyon 2020;6(12):e05807
    CrossRef
  48. Teng S, Khong KW, Pahlevan Sharif S, Ahmed A. YouTube Video Comments on Healthy Eating: Descriptive and Predictive Analysis. JMIR Public Health and Surveillance 2020;6(4):e19618
    CrossRef
  49. He L, He C, Reynolds TL, Bai Q, Huang Y, Li C, Zheng K, Chen Y. Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic. Journal of the American Medical Informatics Association 2021;28(7):1564
    CrossRef
  50. Bour C, Ahne A, Schmitz S, Perchoux C, Dessenne C, Fagherazzi G. The Use of Social Media for Health Research Purposes: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25736
    CrossRef
  51. Ewald V, Sridaran Venkat R, Asokkumar A, Benedictus R, Boller C, Groves RM. Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM. Mechanical Systems and Signal Processing 2022;165:108153
    CrossRef
  52. Purnat TD, Vacca P, Czerniak C, Ball S, Burzo S, Zecchin T, Wright A, Bezbaruah S, Tanggol F, Dubé , Labbé F, Dionne M, Lamichhane J, Mahajan A, Briand S, Nguyen T. Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations. JMIR Infodemiology 2021;1(1):e30971
    CrossRef
  53. Duan Z, Li J, Lukito J, Yang K, Chen F, Shah DV, Yang S. Algorithmic Agents in the Hybrid Media System: Social Bots, Selective Amplification, and Partisan News about COVID-19. Human Communication Research 2022;48(3):516
    CrossRef
  54. Himelboim I, Golan GJ. A Social Network Approach to Social Media Influencers on Instagram: The Strength of Being a Nano-Influencer in Cause Communities. Journal of Interactive Advertising 2023;23(1):1
    CrossRef
  55. Jenrette J, Liu ZY, Chimote P, Hastie T, Fox E, Ferretti F. Shark detection and classification with machine learning. Ecological Informatics 2022;69:101673
    CrossRef
  56. Ma S, Bergan D, Ahn S, Carnahan D, Gimby N, McGraw J, Virtue I. Fact-checking as a deterrent? A conceptual replication of the influence of fact-checking on the sharing of misinformation by political elites. Human Communication Research 2023;49(3):321
    CrossRef
  57. Schmidt AL, Rodriguez-Esteban R, Gottowik J, Leddin M. Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today 2022;27(5):1523
    CrossRef
  58. Gupta R, Mohanty V, Balappanavar AY, Chahar P, Rijhwani K, Bhatia S. Infodemiology for oral health and disease: A scoping review. Health Information & Libraries Journal 2022;39(3):207
    CrossRef
  59. Reuter K, Angyan P, Le N, Buchanan TA. Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study. JMIR Formative Research 2021;5(11):e29958
    CrossRef
  60. Kostygina G, Tran H, Schillo B, Silver NA, Emery SL. Industry response to strengthened regulations: amount and themes of flavoured electronic cigarette promotion by product vendors and manufacturers on Instagram. Tobacco Control 2022;31(Suppl 3):s249
    CrossRef
  61. Robinson F, Wilkes S, Schaefer N, Goldstein M, Rice M, Gray J, Meyers S, Valentino LA. Patient-centered pharmacovigilance: priority actions from the inherited bleeding disorders community. Therapeutic Advances in Drug Safety 2023;14:204209862211464
    CrossRef
  62. Venuturupalli S, Kumar A, Bunyan A, Davuluri N, Fortune N, Reuter K. Using Patient‐Reported Health Data From Social Media to Identify Diverse Lupus Patients and Assess Their Symptom and Medication Expressions: A Feasibility Study. Arthritis Care & Research 2023;75(2):365
    CrossRef
  63. Cheatham S, Kummervold PE, Parisi L, Lanfranchi B, Croci I, Comunello F, Rota MC, Filia A, Tozzi AE, Rizzo C, Gesualdo F. Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model. Frontiers in Public Health 2022;10
    CrossRef
  64. Kostygina G, Tran H, Czaplicki L, Perks SN, Vallone D, Emery SL, Hair EC. Developing a theoretical marketing framework to analyse JUUL and compatible e-cigarette product promotion on Instagram. Tobacco Control 2023;32(e2):e192
    CrossRef
  65. Malik A, Berggren W, Al-Busaidi AS. Instagram as a research tool for examining tobacco-related content: A methodological review. Technology in Society 2022;70:102008
    CrossRef
  66. . Going Viral: The Role of Social Media in Decision-Making. Journal of Cases in Educational Leadership 2022;25(3):292
    CrossRef
  67. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573
    CrossRef
  68. . Garbage in, garbage out. European Journal of Cardio-Thoracic Surgery 2022;61(5):1020
    CrossRef
  69. Matenga TFL, Zulu JM, Moonzwe Davis L, Chavula MP. Motivating factors for and barriers to the COVID-19 vaccine uptake: A review of social media data in Zambia. Cogent Public Health 2022;9(1)
    CrossRef
  70. Chen K, Duan Z, Yang S. Twitter as research data. Politics and the Life Sciences 2022;41(1):114
    CrossRef
  71. Toner TM, Pancholi R, Miller P, Forster T, Coleman HG, Overton IM. Strategies and techniques for quality control and semantic enrichment with multimodal data: a case study in colorectal cancer with eHDPrep. GigaScience 2022;12
    CrossRef
  72. Isip Tan IT, Cleofas J, Solano G, Pillejera JG, Catapang JK. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study. JMIR Formative Research 2023;7:e41134
    CrossRef
  73. Uhawenimana TC, Musabwasoni MGS, Nsengiyumva R, Mukamana D. Sexuality and Sexual and Reproductive Health Depiction in Social Media: Content Analysis of Kinyarwanda YouTube Channels. Journal of Medical Internet Research 2023;25:e46488
    CrossRef
  74. Silver NA, Pearson G, Kucherlapaty P, Kalla S, Schillo B. To Tweet or Not to Tweet: Tweets About Tobacco Regulation can Help Disseminate Anti-regulatory Messages. Nicotine and Tobacco Research 2023;25(9):1603
    CrossRef
  75. Devyani Chaudhari , Neha Vinson . Garbage Reporting Application. International Journal of Advanced Research in Science, Communication and Technology 2023;:507
    CrossRef
  76. Zhang Y, Chen F, Suk J, Yue Z. WordPPR: A Researcher-Driven Computational Keyword Selection Method for Text Data Retrieval from Digital Media. Communication Methods and Measures 2023;:1
    CrossRef
  77. Sedlakova J, Daniore P, Horn Wintsch A, Wolf M, Stanikic M, Haag C, Sieber C, Schneider G, Staub K, Alois Ettlin D, Grübner O, Rinaldi F, von Wyl V, Sarmiento RF. Challenges and best practices for digital unstructured data enrichment in health research: A systematic narrative review. PLOS Digital Health 2023;2(10):e0000347
    CrossRef
  78. Arillotta D, Floresta G, Guirguis A, Corkery JM, Catalani V, Martinotti G, Sensi SL, Schifano F. GLP-1 Receptor Agonists and Related Mental Health Issues; Insights from a Range of Social Media Platforms Using a Mixed-Methods Approach. Brain Sciences 2023;13(11):1503
    CrossRef
  79. Donaldson SI, Dormanesh A, Majmundar A, Pérez C, Lopez H, Saghian M, Beard TA, Unger JB, Allem J. Examining the Peer-Reviewed Literature on Tobacco-Related Social Media Data: Scoping Review. Nicotine and Tobacco Research 2024;26(4):413
    CrossRef
  80. Lin J, Chen C. The epistemic ethical concerns involving algorithms in intelligent communication. Teknokultura. Revista de Cultura Digital y Movimientos Sociales 2023;20(Special Issue):27
    CrossRef
  81. Rhee JU, Huang Y, Soroosh AJ, Alsudais S, Ni S, Kumar A, Paredes J, Li C, Timberlake DS. The Marketing and Perceptions of Non-Tobacco Blunt Wraps on Twitter. Substance Use & Misuse 2024;59(4):469
    CrossRef
  82. Rashid MT, Wang D. CovidTrak: A Vision on Social Intelligence-Empowered COVID-19 Contact Tracing. IEEE Transactions on Computational Social Systems 2023;10(6):3385
    CrossRef
  83. Kostygina G, Kim Y, Seeskin Z, LeClere F, Emery S. Disclosure Standards for Social Media and Generative Artificial Intelligence Research: Toward Transparency and Replicability. Social Media + Society 2023;9(4)
    CrossRef
  84. Kresovich A, Norris AH, Carter CC, Kim Y, Kostygina G, Emery SL. Deciphering Influence on Social Media: A Comparative Analysis of Influential Account Detection Metrics in the Context of Tobacco Promotion. Social Media + Society 2024;10(1)
    CrossRef
  85. Doras C, Özcelik R, Abakar MF, Issa R, Kimala P, Youssouf S, Bolon I, Dürr S. Community-based symptom reporting among agro-pastoralists and their livestock in Chad in a One Health approach. Acta Tropica 2024;253:107167
    CrossRef
  86. Wang Y, Koffman J, Gao W, Zhou Y, Chukwusa E, Curcin V. Social media for palliative and end-of-life care research: a systematic review. BMJ Supportive & Palliative Care 2024;:spcare-2023-004579
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4738):

  1. Torous J, Namiri N, Keshavan M. Personalized Psychiatry. 2019. Chapter 3:37
    CrossRef
  2. Udgata SK, Suryadevara NK. Internet of Things and Sensor Network for COVID-19. 2021. Chapter 1:1
    CrossRef
  3. Gray K, Gilbert C. Advances in Biomedical Informatics. 2018. Chapter 2:5
    CrossRef
  4. Trifan A, Antunes R, Oliveira JL. Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020). 2021. Chapter 11:102
    CrossRef
  5. Kasthurirathne SN, Grannis SJ. Clinical Informatics Study Guide. 2022. Chapter 16:227
    CrossRef
  6. . Encyclopedia of Data Science and Machine Learning. 2022. chapter 34:579
    CrossRef
  7. . Handbook of Open, Distance and Digital Education. 2022. Chapter 20-1:1
    CrossRef
  8. . Handbook of Open, Distance and Digital Education. 2023. Chapter 20:321
    CrossRef
  9. . Encyclopedia of Food Safety. 2024. :279
    CrossRef
  10. Shoenbill KA, Kasturi SN, Mendonca EA. Chronic Illness Care. 2023. Chapter 36:469
    CrossRef