Published on in Vol 16, No 5 (2014): May

Do Cancer Patients Tweet? Examining the Twitter Use of Cancer Patients in Japan

Do Cancer Patients Tweet? Examining the Twitter Use of Cancer Patients in Japan

Do Cancer Patients Tweet? Examining the Twitter Use of Cancer Patients in Japan

Journals

  1. Talbot C, O’Dwyer S, Clare L, Heaton J, Anderson J. Identifying people with dementia on Twitter. Dementia 2020;19(4):965 View
  2. Xu S, Markson C, Costello K, Xing C, Demissie K, Llanos A. Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter. JMIR Public Health and Surveillance 2016;2(1):e17 View
  3. Meeking K. Patients’ experiences of radiotherapy: Insights from Twitter. Radiography 2020;26(3):e146 View
  4. LaValley S, Gage‐Bouchard E, Mollica M, Beaupin L. Examining social media use among parents of children with cancer. Proceedings of the Association for Information Science and Technology 2015;52(1):1 View
  5. Jiménez-Zarco A, González-González I, Saigí-Rubió F, Torrent-Sellens J. The co-learning process in healthcare professionals: Assessing user satisfaction in virtual communities of practice. Computers in Human Behavior 2015;51:1303 View
  6. Kalf R, Makady A, ten Ham R, Meijboom K, Goettsch W. Use of Social Media in the Assessment of Relative Effectiveness: Explorative Review With Examples From Oncology. JMIR Cancer 2018;4(1):e11 View
  7. Salgia N, Feng M, Prajapati D, Harwood R, Nissanoff M, Dara Y, Ruel N, Salgia M, Pal S. Examining the Association of Academic Rank and Productivity with Metrics of Twitter Utilization Amongst Kidney Cancer Specialists. Kidney Cancer 2020;4(2):103 View
  8. Zhang L, Hall M, Bastola D. Utilizing Twitter data for analysis of chemotherapy. International Journal of Medical Informatics 2018;120:92 View
  9. Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics. Journal of Medical Internet Research 2019;21(8):e12610 View
  10. Matsuda S, Aoki K, Tomizawa S, Sone M, Tanaka R, Kuriki H, Takahashi Y. Analysis of Patient Narratives in Disease Blogs on the Internet: An Exploratory Study of Social Pharmacovigilance. JMIR Public Health and Surveillance 2017;3(1):e10 View
  11. Zhang J, Chen Y, Zhao Y, Wolfram D, Ma F. Public health and social media: A study of Zika virus‐related posts on Yahoo! Answers. Journal of the Association for Information Science and Technology 2020;71(3):282 View
  12. Vickey T, Breslin J. Online Influence and Sentiment of Fitness Tweets: Analysis of Two Million Fitness Tweets. JMIR Public Health and Surveillance 2017;3(4):e82 View
  13. Aboelmaged M. Predicting the success of Twitter in healthcare. Online Information Review 2018;42(6):898 View
  14. Taylor J, Pagliari C. The social dynamics of lung cancer talk on Twitter, Facebook and Macmillan.org.uk. npj Digital Medicine 2019;2(1) View
  15. Pemmaraju N, Thompson M, Qazilbash M. Disease-specific hashtags and the creation of Twitter medical communities in hematology and oncology. Seminars in Hematology 2017;54(4):189 View
  16. Andrew P, Vickers M, O’Connor S, Valdes M, Tang P. Media Reporting of Practice-Changing Clinical Trials in Oncology: A North American Perspective. The Oncologist 2016;21(3):269 View
  17. BULU B, YAĞAR F, KOPMAZ B, ŞİŞMAN KİTAPÇI N, KİTAPÇI O, KILIÇ AKSU P, KÖKSAL L, MUMCU G. THE CONTENT OF TWITTER MESSAGES OF DIFFERENT HEALTH GROUPS: THE ROLE OF SOCIAL MEDIA IN HEALTH. International Journal of Health Management and Tourism 2019;4(3):228 View
  18. Mauri D, Kamposioras K, Tzachanis D, Tolia M, Valachis A, Dambrosio M, Alongi F, De Mello R, Lövey J, Anthoney A, Christopoulos C, Saraireh H, Kountourakis P, Kampletsas E, Tsali L, Tsakiridis T, Kosovitsas I, Soukovelos A, Lymperatou D, Polyzos N, Zarkavelis G. Patient and family support in the era of fake e-medicine: food for thought from an international consensus panel. ESMO Open 2020;5(2):e000696 View
  19. Alghamdi A, Abumelha K, Allarakia J, Al-Shehri A. Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis. Journal of Medical Internet Research 2020;22(7):e13979 View
  20. Mazzocut M, Truccolo I, Antonini M, Rinaldi F, Omero P, Ferrarin E, De Paoli P, Tasso C. Web Conversations About Complementary and Alternative Medicines and Cancer: Content and Sentiment Analysis. Journal of Medical Internet Research 2016;18(6):e120 View
  21. Mouelhi Y, Alessandrini M, Pauly V, Dussol B, Gentile S. Internet and social network users’ profiles in Renal Transplant Recipients in France. BMC Nephrology 2017;18(1) View
  22. Zhang A, Albrecht L, Scott S. Using Twitter for Data Collection With Health-Care Consumers. International Journal of Qualitative Methods 2018;17(1) View
  23. O'Leary K, Coulson N, Perez-Vallejos E, McAuley D. Towards understanding how individuals with inflammatory bowel disease use contemporary social media platforms for health-related discourse. Computers in Human Behavior 2020;112:106463 View
  24. Ramagopalan S, Wasiak R, Cox A. Using Twitter to investigate opinions about multiple sclerosis treatments: a descriptive, exploratory study. F1000Research 2014;3:216 View
  25. Stage C, Hvidtfeldt K, Klastrup L. Vital Media: The Affective and Temporal Dynamics of Young Cancer Patients’ Social Media Practices. Social Media + Society 2020;6(2) View
  26. Murthy D, Eldredge M. Who tweets about cancer? An analysis of cancer-related tweets in the USA. DIGITAL HEALTH 2016;2 View
  27. Sutton J, Vos S, Olson M, Woods C, Cohen E, Gibson C, Phillips N, Studts J, Eberth J, Butts C. Lung Cancer Messages on Twitter: Content Analysis and Evaluation. Journal of the American College of Radiology 2018;15(1):210 View
  28. Gage-Bouchard E, LaValley S, Mollica M, Beaupin L. Cancer Communication on Social Media. Cancer Nursing 2017;40(4):332 View
  29. Lee Y, Kamen C, Margolies L, Boehmer U. Online health community experiences of sexual minority women with cancer. Journal of the American Medical Informatics Association 2019;26(8-9):759 View
  30. Platt J, Brady R. #BCSM and #breastcancer: Contemporary cancer‐specific online social media communities. The Breast Journal 2020;26(4):729 View
  31. Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics. JMIR mHealth and uHealth 2016;4(2):e41 View
  32. Pemmaraju N, Thompson M, Mesa R, Desai T. Analysis of the Use and Impact of Twitter During American Society of Clinical Oncology Annual Meetings From 2011 to 2016: Focus on Advanced Metrics and User Trends. Journal of Oncology Practice 2017;13(7):e623 View
  33. Yoosefi Nejad M, Delghandi M, Bali A, Hosseinzadeh M. Using Twitter to raise the profile of childhood cancer awareness month. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1) View
  34. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  35. Ure C, Cooper-Ryan A, Condie J, Galpin A. Exploring Strategies for Using Social Media to Self-Manage Health Care When Living With and Beyond Breast Cancer: In-Depth Qualitative Study. Journal of Medical Internet Research 2020;22(5):e16902 View
  36. Lee J, DeCamp M, Dredze M, Chisolm M, Berger Z. What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter. Journal of Medical Internet Research 2014;16(10):e237 View
  37. Santoro E, Castelnuovo G, Zoppis I, Mauri G, Sicurello F. Social media and mobile applications in chronic disease prevention and management. Frontiers in Psychology 2015;6 View
  38. Taylor J, Pagliari C. #Deathbedlive: the end-of-life trajectory, reflected in a cancer patient’s tweets. BMC Palliative Care 2018;17(1) View
  39. Martínez-López De Castro N, Samartín- Ucha M, Martín-Vila A, Álvarez-Payero M, Piñeiro-Corrales G, Pego-Reigosa J. Content analysis of Twitter in relation to biological treatments for chronic inflammatory arthropathies: an exploratory study. European Journal of Hospital Pharmacy 2019;26(3):124 View
  40. Nguyen T, O’Dea B, Larsen M, Phung D, Venkatesh S, Christensen H. Using linguistic and topic analysis to classify sub-groups of online depression communities. Multimedia Tools and Applications 2017;76(8):10653 View
  41. Pellino G, Simillis C, Qiu S, Rasheed S, Mills S, Warren O, Kontovounisios C, Tekkis P, Attai D. Social media and colorectal cancer: A systematic review of available resources. PLOS ONE 2017;12(8):e0183031 View
  42. Ure C, Galpin A, Cooper-Ryan A, Condie J. Charities’ use of Twitter: exploring social support for women living with and beyond breast cancer. Information, Communication & Society 2019;22(8):1062 View
  43. Gage-Bouchard E, LaValley S, Warunek M, Beaupin L, Mollica M. Is Cancer Information Exchanged on Social Media Scientifically Accurate?. Journal of Cancer Education 2018;33(6):1328 View
  44. Hashemi M, Hall M. Multi-label classification and knowledge extraction from oncology-related content on online social networks. Artificial Intelligence Review 2020;53(8):5957 View
  45. Sacchi M, Yeung T, Spinelli A, Mortensen N. Assessment of the quality of patient‐orientated internet information on surgery for ulcerative colitis. Colorectal Disease 2015;17(6):511 View
  46. Zhao W, Lu P, Yu S, Lu L. Consumer health information needs in China – a case study of depression based on a Social Q&A community. BMC Medical Informatics and Decision Making 2020;20(S3) View
  47. Zhang Z, Ahmed W. A comparison of information sharing behaviours across 379 health conditions on Twitter. International Journal of Public Health 2019;64(3):431 View
  48. Attai D, Cowher M, Al-Hamadani M, Schoger J, Staley A, Landercasper J. Twitter Social Media is an Effective Tool for Breast Cancer Patient Education and Support: Patient-Reported Outcomes by Survey. Journal of Medical Internet Research 2015;17(7):e188 View
  49. Sugawara Y, Narimatsu H, Tsuya A, Tanaka A, Fukao A. Medical Institutions and Twitter: A Novel Tool for Public Communication in Japan. JMIR Public Health and Surveillance 2016;2(1):e19 View
  50. Park S, Park H, Lee J. Understanding the Public’s Emotions about Cancer: Analysis of Social Media Data. International Journal of Environmental Research and Public Health 2020;17(19):7160 View
  51. Wang X, Lee E. Negative emotions shape the diffusion of cancer tweets: toward an integrated social network–text analytics approach. Internet Research 2020;31(2):401 View
  52. Sugawara Y, Murakami M, Narimatsu H. Use of Social Media by Hospitals and Clinics in Japan: Descriptive Study. JMIR Medical Informatics 2020;8(11):e18666 View
  53. Saha K, Torous J, Caine E, De Choudhury M. Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. Journal of Medical Internet Research 2020;22(11):e22600 View
  54. Wu D, Xu H, Fan S. Research on consumers' health information consultation patterns. Aslib Journal of Information Management 2020;73(1):25 View
  55. Milley K, Chima S, Cummings K, Emery J. Look who’s talking now: Cancer in primary care on Twitter. An observational study. BJGP Open 2021;5(1):bjgpopen20X101134 View
  56. Liu F, Guo P, Su X, Cui M, Jiang J, Wang S, Yu Z, Zhou R, Ye Y. A Novel Remote Follow-Up Tool Based on an Instant Messaging/Social Media App for the Management of Patients With Low Anterior Resection Syndrome: Pilot Prospective Self-Control Study. JMIR mHealth and uHealth 2021;9(3):e22647 View
  57. Hanna G, Batko B, Potter J, Ippolito J, Edobor-Osula F. The role of social media in clubfoot: Information sharing and social support. Journal of Children's Orthopaedics 2021;15(1):81 View
  58. Wallace S, Kothari J, Jayasekera A, Tointon J, Baiyewun T, Shrubsole K. Do caregivers who connect online have better outcomes? A systematic review of online peer-support interventions for caregivers of people with stroke, dementia, traumatic brain injury, Parkinson’s disease and multiple sclerosis. Brain Impairment 2021;22(3):233 View
  59. Maitra C, Rowley J. Using a social media based intervention to enhance eye health awareness of members of a deprived community in India. Information Development 2022;38(3):438 View
  60. Hijlis S, Alanzi T, Alanezi F, Alhodaib H, Althumairi A, Aljaffary A, Aljabri D, Alrayes S, Alsalman D, Al-Fayez A, Alrawiai S, AlThani B, Alakrawi Z, Saadah A, Alyousif N. Use of social media for the improvement of radiation safety knowledge among Saudi Arabian radiographers. International Health 2022;14(3):280 View
  61. Lee Y, Park A, Roberge M, Donovan H. What Can Social Media Tell Us About Patient Symptoms. Cancer Nursing 2022;45(1):E27 View
  62. Kamba M, Manabe M, Wakamiya S, Yada S, Aramaki E, Odani S, Miyashiro I. Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach. JMIR Cancer 2021;7(4):e32005 View
  63. Shima K, She J, Obuchi Y, Iliyasu A. Web-Questionnaire-Based Corpus Creation Under Assumption of Human as Speech Targets. Journal of Advanced Computational Intelligence and Intelligent Informatics 2022;26(4):513 View
  64. Salim N, Jubair F, Hassona Y, Izriqi S, Al-Fuqaha’a D, Nuvvula S. Esthetic Dentistry on Twitter: Benefits and Dangers. International Journal of Dentistry 2021;2021:1 View
  65. Mazza M, Piperis M, Aasaithambi S, Chauhan J, Sagkriotis A, Vieira C. Social Media Listening to Understand the Lived Experience of Individuals in Europe With Metastatic Breast Cancer: A Systematic Search and Content Analysis Study. Frontiers in Oncology 2022;12 View
  66. Stemmer M, Parmet Y, Ravid G. Identifying Patients With Inflammatory Bowel Disease on Twitter and Learning From Their Personal Experience: Retrospective Cohort Study. Journal of Medical Internet Research 2022;24(8):e29186 View
  67. Bartmess M, Talbot C, O’Dwyer S, Lopez R, Rose K, Anderson J. Using Twitter to understand perspectives and experiences of dementia and caregiving at the beginning of the COVID-19 pandemic. Dementia 2022;21(5):1734 View
  68. Rao D, Singh R, Prakashini K, Vijayananda J. Investigating Public Sentiment on Laryngeal Cancer in 2022 Using Machine Learning. Indian Journal of Otolaryngology and Head & Neck Surgery 2023;75(3):2084 View
  69. Mori Y, Miyatake N, Suzuki H, Mori Y, Okada S, Tanimoto K. Comparison of Impressions of COVID-19 Vaccination and Influenza Vaccination in Japan by Analyzing Social Media Using Text Mining. Vaccines 2023;11(8):1327 View
  70. Bravo C, Walker M, Papadopoulos A, McWhirter J. Social media use in HPV-, cervical cancer-, and cervical screening-related research: A scoping review. Preventive Medicine 2024;179:107798 View
  71. Kusudo M, Terada M, Kureyama N, Wanifuchi-Endo Y, Fujita T, Asano T, Kato A, Mori M, Horisawa N, Toyama T. Characterizing user demographics in posts related to breast, lung and colon cancer on Japanese twitter (X). Scientific Reports 2024;14(1) View
  72. Garcia-Robledo A, Espejel-Trujillo A. Whistlerlib: a distributed computing library for exploratory data analysis on large social network datasets. Multimedia Tools and Applications 2024 View

Books/Policy Documents

  1. Ariani A, Koesoema A, Soegijoko S. Innovative Healthcare Systems for the 21st Century. View
  2. Stage C. Networked Cancer. View
  3. . The Language of Illness and Death on Social Media. View
  4. Aboelmaged M, Thomas S, Elsheikh S. Handbook of Research on Healthcare Administration and Management. View
  5. Stemmer M, Parmet Y, Ravid G. ICT for Health, Accessibility and Wellbeing. View