Published on in Vol 14, No 3 (2012): May-Jun

Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials

Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials

Using Crowdsourcing Technology for Testing Multilingual Public Health Promotion Materials

Journals

  1. Carvalho S, Silvestre B, Cunningham P. Hitting the Nail on the Head! Insight into Consumer Assessment of Sustainability-Related Innovations. Long Range Planning 2017;50(6):741 View
  2. Cui L, Carter R, Zhang G. Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study. Journal of Medical Internet Research 2014;16(2):e45 View
  3. Taeihagh A. Crowdsourcing: a new tool for policy-making?. Policy Sciences 2017;50(4):629 View
  4. Johnson P, Herrmann E, Johnson M. Opportunity costs of reward delays and the discounting of hypothetical money and cigarettes. Journal of the Experimental Analysis of Behavior 2015;103(1):87 View
  5. Dasgupta N, Freifeld C, Brownstein J, Menone C, Surratt H, Poppish L, Green J, Lavonas E, Dart R. Crowdsourcing Black Market Prices For Prescription Opioids. Journal of Medical Internet Research 2013;15(8):e178 View
  6. Lin S, Thompson H, Hart L, Fu M, Demiris G. Evaluation of pharmaceutical pictograms by older “turkers”: A cross-sectional crowdsourced study. Research in Social and Administrative Pharmacy 2021;17(6):1079 View
  7. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  8. Luhmann N, Champagnat J, Golovin S, Maistat L, Agustian E, Inaridze I, Myint W, Butsashvili M, Bouscaillou J. Access to hepatitis C treatment for people who inject drugs in low and middle income settings: Evidence from 5 countries in Eastern Europe and Asia. International Journal of Drug Policy 2015;26(11):1081 View
  9. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1) View
  10. Conrad E, Becker M, Powell B, Hall K. Improving Health Promotion Through the Integration of Technology, Crowdsourcing, and Social Media. Health Promotion Practice 2020;21(2):228 View
  11. Chan C, Holosko M. An Overview of the Use of Mechanical Turk in Behavioral Sciences. Research on Social Work Practice 2016;26(4):441 View
  12. Brady C, Villanti A, Pearson J, Kirchner T, Gupta O, Shah C. Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing. Journal of Medical Internet Research 2014;16(10):e233 View
  13. DePalma M, Rizzotti M, Branneman M. Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy. JMIR Diabetes 2017;2(2):e11 View
  14. Iwelunmor J, Ezechi O, Obiezu-Umeh C, Gbaja-Biamila T, Nwaozuru U, Oladele D, Musa A, Idigbe I, Uzoaru F, Airhihenbuwa C, Muessig K, Conserve D, Kapogiannis B, Tucker J, Matovu J. The 4 youth by youth HIV self-testing crowdsourcing contest: A qualitative evaluation. PLOS ONE 2020;15(5):e0233698 View
  15. Weiner M. The Potential of Crowdsourcing to Improve Patient-Centered Care. The Patient - Patient-Centered Outcomes Research 2014;7(2):123 View
  16. Kuang J, Argo L, Stoddard G, Bray B, Zeng-Treitler Q. Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches. Journal of Medical Internet Research 2015;17(12):e281 View
  17. Yu B, Willis M, Sun P, Wang J. Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk. Journal of Medical Internet Research 2013;15(6):e108 View
  18. Saunders D, Bex P, Woods R. Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection. Journal of Medical Internet Research 2013;15(5):e100 View
  19. Mitry D, Peto T, Hayat S, Morgan J, Khaw K, Foster P, Soyer H. Crowdsourcing as a Novel Technique for Retinal Fundus Photography Classification: Analysis of Images in the EPIC Norfolk Cohort on Behalf of the UKBiobank Eye and Vision Consortium. PLoS ONE 2013;8(8):e71154 View
  20. Zide M, Caswell K, Peterson E, Aberle D, Bui A, Arnold C. Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Research Protocols 2016;5(2):e104 View
  21. Kristan J, Suffoletto B. Using online crowdsourcing to understand young adult attitudes toward expert-authored messages aimed at reducing hazardous alcohol consumption and to collect peer-authored messages. Translational Behavioral Medicine 2015;5(1):45 View
  22. Fernández D, Harel D, Ipeirotis P, McAllister T. Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics 2019;46(8):1364 View
  23. Ranard B, Ha Y, Meisel Z, Asch D, Hill S, Becker L, Seymour A, Merchant R. Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review. Journal of General Internal Medicine 2014;29(1):187 View
  24. Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I. Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing. Journal of Medical Internet Research 2013;15(4):e73 View
  25. DeSmet A, Palmeira A, Beltran A, Brand L, Davies V, Thompson D. The Yin and Yang of Formative Research in Designing Serious (Exer-)games. Games for Health Journal 2015;4(1):63 View
  26. Mays D, Tercyak K. Framing Indoor Tanning Warning Messages to Reduce Skin Cancer Risks Among Young Women: Implications for Research and Policy. American Journal of Public Health 2015;105(8):e70 View
  27. Mortensen K, Hughes T. Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature. Journal of General Internal Medicine 2018;33(4):533 View
  28. Slattery P, Vidgen R, Finnegan P. Winning heads and hearts? How websites encourage prosocial behaviour. Behaviour & Information Technology 2021;40(9):933 View
  29. Palacios M, Martinez-Corral A, Nisar A, Grijalvo M. Crowdsourcing and organizational forms: Emerging trends and research implications. Journal of Business Research 2016;69(5):1834 View
  30. Short R, Middleton D, Befera N, Gondalia R, Tailor T. Patient-Centered Radiology Reporting: Using Online Crowdsourcing to Assess the Effectiveness of a Web-Based Interactive Radiology Report. Journal of the American College of Radiology 2017;14(11):1489 View
  31. Hill S, Merchant R, Ungar L. Lessons Learned About Public Health from Online Crowd Surveillance. Big Data 2013;1(3):160 View
  32. Grasso K, Bell R. Understanding Health Information Seeking: A Test of the Risk Perception Attitude Framework. Journal of Health Communication 2015;20(12):1406 View
  33. Rosenberg N, Obiezu-Umeh C, Gbaja-Biamila T, Tahlil K, Nwaozuru U, Oladele D, Musa A, Idigbe I, Okwuzu J, Bamidele T, Tang W, Ezechi O, Tucker J, Iwelunmor J. Strategies for enhancing uptake of HIV self-testing among Nigerian youths: a descriptive analysis of the 4YouthByYouth crowdsourcing contest. BMJ Innovations 2021;7(3):590 View
  34. Mittl G, Cook T, Hill P, Cho J, Shea J, Kahn C, Zafar H. Patient Understanding of Abnormal Imaging Findings Under Pennsylvania Act 112: A Call to Revise Mandated Notification Message Language. Journal of the American College of Radiology 2021;18(7):951 View
  35. Pan P, Bhandari M, Meng J. Promoting healthy eating: The intervening role of health and nutrition-related claims in food advertisements. Health Education Journal 2022;81(8):993 View
  36. Kornfield R, Mohr D, Ranney R, Lattie E, Meyerhoff J, Williams J, Reddy M. Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  37. Eerola T, Armitage J, Lavan N, Knight S. Online Data Collection in Auditory Perception and Cognition Research: Recruitment, Testing, Data Quality and Ethical Considerations. Auditory Perception & Cognition 2021;4(3-4):251 View
  38. Sehgal N, Huang S, Johnson N, Dickerson J, Jackson D, Baur C. The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study. Journal of Medical Internet Research 2022;24(6):e30216 View
  39. Shah H, Dolwick Grieb S, Flores-Miller A, Phillips K, Page K, Cervantes A, Yang C. A Crowdsourcing Open Contest to Design a Latino-Specific COVID-19 Campaign: Mixed Methods Analysis. JMIR Formative Research 2022;6(5):e35764 View
  40. Hung Y, Chaker S, Sigel M, Saad M, Yu-Hsuan Chang M, Slater E. Addressing Current Deficits in Patient Education Materials Through Crowdsourcing. Annals of Plastic Surgery 2024;92(2):148 View
  41. Pan P, Bhandari M, Meng J. Toward an Integrated Model of Healthy Food Purchase via the Impact of Online Nutrition Information Seeking. American Behavioral Scientist 2024 View

Books/Policy Documents

  1. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. View
  2. Constantin F, Kavoura A. Tourism and Culture in the Age of Innovation. View
  3. Zar D, Hazon N, Azaria A. Multi-Agent Systems. View