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Citing this Article

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Published on 05.12.16 in Vol 18, No 12 (2016): December

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

Works citing "Applying Multiple Data Collection Tools to Quantify Human Papillomavirus Vaccine Communication on Twitter"

Philip M Massey, Amy Leader, Elad Yom-Tov, Alexandra Budenz, Kara Fisher, Ann C Klassen

J Med Internet Res 2016 (Dec 05); 18(12):e318 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6670):

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

  1. Bian J, Zhao Y, Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414
    CrossRef
  2. Visweswaran S, Colditz JB, O’Halloran P, Han N, Taneja SB, Welling J, Chu K, Sidani JE, Primack BA. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(8):e17478
    CrossRef
  3. Puri N, Coomes EA, Haghbayan H, Gunaratne K. Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases. Human Vaccines & Immunotherapeutics 2020;16(11):2586
    CrossRef
  4. Massey PM, Budenz A, Leader A, Fisher K, Klassen AC, Yom-Tov E. What Drives Health Professionals to Tweet About #HPVvaccine? Identifying Strategies for Effective Communication. Preventing Chronic Disease 2018;15
    CrossRef
  5. Pemmaraju N, Thompson MA, Qazilbash M. Disease-specific hashtags and the creation of Twitter medical communities in hematology and oncology. Seminars in Hematology 2017;54(4):189
    CrossRef
  6. Teoh D, Shaikh R, Vogel RI, Zoellner T, Carson L, Kulasingam S, Lou E. A Cross-Sectional Review of Cervical Cancer Messages on Twitter During Cervical Cancer Awareness Month. Journal of Lower Genital Tract Disease 2018;22(1):8
    CrossRef
  7. Kearney MD, Selvan P, Hauer MK, Leader AE, Massey PM. Characterizing HPV Vaccine Sentiments and Content on Instagram. Health Education & Behavior 2019;46(2_suppl):37S
    CrossRef
  8. Lama Y, Chen T, Dredze M, Jamison A, Quinn SC, Broniatowski DA. Discordance Between Human Papillomavirus Twitter Images and Disparities in Human Papillomavirus Risk and Disease in the United States: Mixed-Methods Analysis. Journal of Medical Internet Research 2018;20(9):e10244
    CrossRef
  9. Amith M, Cohen T, Cunningham R, Savas LS, Smith N, Cuccaro P, Gabay E, Boom J, Schvaneveldt R, Tao C. Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks. Cancer Control 2020;27(1)
    CrossRef
  10. Featherstone JD, Ruiz JB, Barnett GA, Millam BJ. Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis. Telematics and Informatics 2020;54:101474
    CrossRef
  11. Le GM, Radcliffe K, Lyles C, Lyson HC, Wallace B, Sawaya G, Pasick R, Centola D, Sarkar U, Gruebner O. Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies. PLOS ONE 2019;14(2):e0211931
    CrossRef
  12. Ortiz RR, Smith A, Coyne-Beasley T. A systematic literature review to examine the potential for social media to impact HPV vaccine uptake and awareness, knowledge, and attitudes about HPV and HPV vaccination. Human Vaccines & Immunotherapeutics 2019;15(7-8):1465
    CrossRef
  13. Su Z, Chengbo Z, Mackert M. Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption. Journal of Communication in Healthcare 2019;12(3-4):170
    CrossRef
  14. . The Power of Social Media for HPV Vaccination–Not Fake News!. American Society of Clinical Oncology Educational Book 2019;(39):75
    CrossRef
  15. Stephens AB, Wynn CS, Stockwell MS. Understanding the use of digital technology to promote human papillomavirus vaccination – A RE-AIM framework approach. Human Vaccines & Immunotherapeutics 2019;15(7-8):1549
    CrossRef
  16. Kunneman F, Lambooij M, Wong A, Bosch AVD, Mollema L. Monitoring stance towards vaccination in twitter messages. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  17. Rosen BL, Wheldon C, Thompson EL, Maness S, Massey PM. Social media engagement association with human papillomavirus and vaccine awareness and perceptions: Results from the 2017 US Health Information National Trends Survey. Preventive Medicine 2020;138:106151
    CrossRef
  18. Zhao Y, Cheng S, Yu X, Xu H. Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study. Journal of Medical Internet Research 2020;22(5):e18825
    CrossRef
  19. Deiner MS, Fathy C, Kim J, Niemeyer K, Ramirez D, Ackley SF, Liu F, Lietman TM, Porco TC. Facebook and Twitter vaccine sentiment in response to measles outbreaks. Health Informatics Journal 2019;25(3):1116
    CrossRef
  20. Chakraborty P, Colditz JB, Silvestre AJ, Friedman MR, Bogen KW, Primack BA, Lee A. Observation of public sentiment toward human papillomavirus vaccination on Twitter. Cogent Medicine 2017;4(1):1390853
    CrossRef
  21. Ernst K, Shelby A. Social Media in the Exam Room: Stories of Human Papillomavirus Disease and Prevention. Academic Pediatrics 2018;18(2):S19
    CrossRef
  22. Toloza FJK, Espinoza Suarez NR, El Kawkgi O, Golembiewski EH, Ponce OJ, Yao L, Maraka S, Singh Ospina NM, Brito JP. Patient Experiences and Perceptions Associated with the Use of Desiccated Thyroid Extract. Medicina 2020;56(4):161
    CrossRef
  23. Himelboim I, Xiao X, Lee DKL, Wang MY, Borah P. A Social Networks Approach to Understanding Vaccine Conversations on Twitter: Network Clusters, Sentiment, and Certainty in HPV Social Networks. Health Communication 2020;35(5):607
    CrossRef
  24. Li J, Zheng H. Coverage of HPV-Related Information on Chinese Social Media: a Content Analysis of Articles in Zhihu. Human Vaccines & Immunotherapeutics 2020;16(10):2548
    CrossRef
  25. Chen T, Dredze M. Vaccine Images on Twitter: Analysis of What Images are Shared. Journal of Medical Internet Research 2018;20(4):e130
    CrossRef
  26. Edo-Osagie O, De La Iglesia B, Lake I, Edeghere O. A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine 2020;122:103770
    CrossRef
  27. dos Santos BS, Steiner MTA, Fenerich AT, Lima RHP. Data mining and machine learning techniques applied to public health problems: A bibliometric analysis from 2009 to 2018. Computers & Industrial Engineering 2019;138:106120
    CrossRef
  28. Budenz A, Klassen A, Leader A, Fisher K, Yom-Tov E, Massey P. HPV vaccine, Twitter, and gay, bisexual and other men who have sex with men. Health Promotion International 2020;35(2):290
    CrossRef
  29. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  30. Metwally O, Blumberg S, Ladabaum U, Sinha SR. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study. Journal of Medical Internet Research 2017;19(6):e200
    CrossRef
  31. Kecojevic A, Basch C, Basch C, Kernan W. Pre-Exposure Prophylaxis YouTube Videos: Content Evaluation. JMIR Public Health and Surveillance 2018;4(1):e19
    CrossRef
  32. Myhre A, Xiong T, Vogel RI, Teoh D. Associations between risk-perception, self-efficacy and vaccine response-efficacy and parent/guardian decision-making regarding adolescent HPV vaccination. Papillomavirus Research 2020;10:100204
    CrossRef
  33. Massey PM, Kearney MD, Hauer MK, Selvan P, Koku E, Leader AE. Dimensions of Misinformation About the HPV Vaccine on Instagram: Content and Network Analysis of Social Media Characteristics. Journal of Medical Internet Research 2020;22(12):e21451
    CrossRef
  34. Calo WA, Gilkey MB, Shah PD, Dyer A, Margolis MA, Dailey SA, Brewer NT. Misinformation and other elements in HPV vaccine tweets: an experimental comparison. Journal of Behavioral Medicine 2021;44(3):310
    CrossRef
  35. Lama Y, Quinn SC, Nan X, Cruz-Cano R. Social media use and human papillomavirus awareness and knowledge among adults with children in the household: examining the role of race, ethnicity, and gender. Human Vaccines & Immunotherapeutics 2021;17(4):1014
    CrossRef
  36. Piedrahita-Valdés H, Piedrahita-Castillo D, Bermejo-Higuera J, Guillem-Saiz P, Bermejo-Higuera JR, Guillem-Saiz J, Sicilia-Montalvo JA, Machío-Regidor F. Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019. Vaccines 2021;9(1):28
    CrossRef
  37. 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
  38. Argyris Y, Kim Y, Song W, Roscizewski A. Maternal Engagement with Vaccine-Skeptical and Advocating Content on Social Media and Their Adolescent Children’s HPV Vaccination Rates: A Web- and Mobile-Based Survey among US Mothers of Adolescents (Preprint). JMIR Pediatrics and Parenting 2020;
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  39. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187
    CrossRef
  40. Rodríguez-González A, Tuñas JM, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández AJ, Arce A, Gil A. Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 2020;10(24):9019
    CrossRef
  41. Pan S, Zhang D, Zhang J. Caught in the Crossfire: How Contradictory Information and Norms on Social Media Influence Young Women’s Intentions to Receive HPV Vaccination in the United States and China. Frontiers in Psychology 2020;11
    CrossRef
  42. Benis A, Khodos A, Ran S, Levner E, Ashkenazi S. Social Media Engagement and Influenza Vaccination During the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(3):e25977
    CrossRef
  43. Teoh D, Hill E, Goldsberry W, Levine L, Novetsky A, Downs L. Overcoming the barriers to HPV vaccination in high-risk populations in the U.S.: A Society of Gynecologic Oncology (SGO) Review. Gynecologic Oncology 2021;161(1):228
    CrossRef
  44. To QG, To KG, Huynh VN, Nguyen NTQ, Ngo DTN, Alley SJ, Tran ANQ, Tran ANP, Pham NTT, Bui TX, Vandelanotte C. Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(8):4069
    CrossRef
  45. Eibensteiner F, Ritschl V, Nawaz FA, Fazel SS, Tsagkaris C, Kulnik ST, Crutzen R, Klager E, Völkl-Kernstock S, Schaden E, Kletecka-Pulker M, Willschke H, Atanasov AG. People’s Willingness to Vaccinate Against COVID-19 Despite Their Safety Concerns: Twitter Poll Analysis. Journal of Medical Internet Research 2021;23(4):e28973
    CrossRef
  46. Wawrzuta D, Jaworski M, Gotlib J, Panczyk M. What Arguments against COVID-19 Vaccines Run on Facebook in Poland: Content Analysis of Comments. Vaccines 2021;9(5):481
    CrossRef
  47. Wawrzuta D, Jaworski M, Gotlib J, Panczyk M. Characteristics of Antivaccine Messages on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(6):e24564
    CrossRef
  48. Zhang J, Xue H, Calabrese C, Chen H, Dang JHT. Understanding Human Papillomavirus Vaccine Promotions and Hesitancy in Northern California Through Examining Public Facebook Pages and Groups. Frontiers in Digital Health 2021;3
    CrossRef
  49. ELGOHARY EM, ABD-ELAZIZ MM. Data mining framework for analyzing Twitter users' opinion on the drug mefloquine. Gazzetta Medica Italiana Archivio per le Scienze Mediche 2021;180(5)
    CrossRef
  50. Massey PM, Togo E, Chiang SC, Klassen AC, Rose M, Manganello JA, Leader AE. Identifying HPV vaccine narrative communication needs among parents on social media. Preventive Medicine Reports 2021;23:101488
    CrossRef
  51. Gaysynsky A, Rising CJ, Trivedi N, Blake KD, Chou WS, Oh A, Vanderpool RC. Communication research at the National Cancer Institute, 2013–2019: a grant portfolio analysis. Cancer Causes & Control 2021;32(12):1333
    CrossRef
  52. Massey PM, Chiang SC, Rose M, Murray RM, Rockett M, Togo E, Klassen AC, Manganello JA, Leader AE. Development of Personas to Communicate Narrative-Based Information About the HPV Vaccine on Twitter. Frontiers in Digital Health 2021;3
    CrossRef
  53. Tomaszewski T, Morales A, Lourentzou I, Caskey R, Liu B, Schwartz A, Chin J. Identifying False Human Papillomavirus (HPV) Vaccine Information and Corresponding Risk Perceptions From Twitter: Advanced Predictive Models. Journal of Medical Internet Research 2021;23(9):e30451
    CrossRef
  54. Li J, Zheng H, Duan X. Factors Influencing the Popularity of a Health-Related Answer on a Chinese Question-and-Answer Website: Case Study. Journal of Medical Internet Research 2021;23(9):e29885
    CrossRef
  55. Russell AM, Valdez D, Chiang SC, Montemayor BN, Barry AE, Lin H, Massey PM. Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2022;24(11):e40160
    CrossRef
  56. Ngai CSB, Singh RG, Yao L. Impact of COVID-19 Vaccine Misinformation on Social Media Virality: Content Analysis of Message Themes and Writing Strategies. Journal of Medical Internet Research 2022;24(7):e37806
    CrossRef
  57. Basch CH, Hillyer GC, Jacques ET. Professionally Created Content Related to HPV Vaccination on TikTok. Frontiers in Digital Health 2022;4
    CrossRef
  58. Ginossar T, Cruickshank IJ, Zheleva E, Sulskis J, Berger-Wolf T. Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations. Human Vaccines & Immunotherapeutics 2022;18(1):1
    CrossRef
  59. Lee CS, Goh DH, Tan HW, Zheng H, Theng YL. Understanding the Temporal Effects on Tweetcussion of COVID‐19 Vaccine. Proceedings of the Association for Information Science and Technology 2021;58(1):768
    CrossRef
  60. Llavona-Ortiz JY, Spanos KE, Kraschnewski JL, D’Souza G, Myrick JG, Sznajder KK, Calo WA. Associations Between Human Papillomavirus Vaccine Decisions and Exposure to Vaccine Information in Social Media. Cancer Control 2022;29
    CrossRef
  61. Luo C, Chen A, Cui B, Liao W. Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. Telematics and Informatics 2021;65:101712
    CrossRef
  62. Karami A, Zhu M, Goldschmidt B, Boyajieff HR, Najafabadi MM. COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter. Vaccines 2021;9(10):1059
    CrossRef
  63. Voidăzan TS, Budianu MA, Rozsnyai FF, Kovacs Z, Uzun CC, Neagu N. Assessing the Level of Knowledge, Beliefs and Acceptance of HPV Vaccine: A Cross-Sectional Study in Romania. International Journal of Environmental Research and Public Health 2022;19(11):6939
    CrossRef
  64. Thompson EL, Galvin AM, Garg A, Moore JD, Litt DM. Exploring novel strategies for social media HPV vaccine information. Human Vaccines & Immunotherapeutics 2024;17(12):5397
    CrossRef
  65. Roe C, Lowe M, Williams B, Miller C. Public Perception of SARS-CoV-2 Vaccinations on Social Media: Questionnaire and Sentiment Analysis. International Journal of Environmental Research and Public Health 2021;18(24):13028
    CrossRef
  66. Ryan R, Davis-Kean P, Bode L, Krüger J, Mneimneh Z, Singh L. Parenting online: analyzing information provided by parenting-focused Twitter accounts. Atlantic Journal of Communication 2023;31(3):243
    CrossRef
  67. Zhang J, Wang Y, Shi M, Wang X. Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study. JMIR Public Health and Surveillance 2021;7(12):e32814
    CrossRef
  68. Sharevski F, Alsaadi R, Jachim P, Pieroni E. Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes. Computers & Security 2022;114:102577
    CrossRef
  69. Döring N, Conde M. Sexuelle Gesundheitsinformationen in sozialen Medien: Ein systematisches Scoping Review. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(11):1416
    CrossRef
  70. Sobeczek K, Gujski M, Raciborski F. HPV Vaccination: Polish-Language Facebook Discourse Analysis. International Journal of Environmental Research and Public Health 2022;19(2):914
    CrossRef
  71. Ritschl V, Eibensteiner F, Mosor E, Omara M, Sperl L, Nawaz FA, Siva Sai C, Cenanovic M, Devkota HP, Hribersek M, De R, Klager E, Schaden E, Kletecka-Pulker M, Völkl-Kernstock S, Willschke H, Aufricht C, Atanasov AG, Stamm T. Mandatory Vaccination Against COVID-19: Twitter Poll Analysis on Public Health Opinion. JMIR Formative Research 2022;6(6):e35754
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  72. Kornides ML, Badlis S, Head KJ, Putt M, Cappella J, Gonzalez-Hernadez G. Exploring content of misinformation about HPV vaccine on twitter. Journal of Behavioral Medicine 2023;46(1-2):239
    CrossRef
  73. Russell AM, Bergman BG, Colditz JB, Kelly JF, Milaham PJ, Massey PM. Using TikTok in recovery from substance use disorder. Drug and Alcohol Dependence 2021;229:109147
    CrossRef
  74. Schmid-Petri H, Bürger M, Schlögl S, Schwind M, Mitrović J, Kühn R. The multilingual Twitter-discourse on vaccination in Germany during the COVID-19 pandemic. Media and Communication 2023;11(1):293
    CrossRef
  75. Boucher J, Kim SY, Jessiman-Perreault G, Edwards J, Smith H, Frenette N, Badami A, Scott LA. HPV vaccine narratives on Twitter during the COVID-19 pandemic: a social network, thematic, and sentiment analysis. BMC Public Health 2023;23(1)
    CrossRef
  76. Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237
    CrossRef
  77. Hauer MK, Jenkins A, MacPherson J, Sun Q, Swain M. Tweeting about the COVID-19 vaccine: A content analysis. Atlantic Journal of Communication 2024;32(4):545
    CrossRef
  78. Rędzio AM, Izydorczak K, Muniak P, Kulesza W, Doliński D. Is the COVID-19 Fake News game good news? Testing whether creating and disseminating fake news about vaccines in a computer game reduces people's belief in anti-vaccine arguments. Acta Psychologica 2023;236:103930
    CrossRef
  79. Carabot F, Donat-Vargas C, Santoma-Vilaclara J, Ortega MA, García-Montero C, Fraile-Martínez O, Zaragoza C, Monserrat J, Alvarez-Mon M, Alvarez-Mon MA. Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study. Journal of Medical Internet Research 2023;25:e45660
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  80. Kim L, Hong Y, Abrar S, FitzGerald CA. Relationships Between Social Media Use, Exposure to Vaccine Misinformation and Online Health Information Seeking Behaviour. Journal of Creative Communications 2023;18(2):199
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  81. Wang Y, Wang X, Zhang J, Shi M, Wanta W. Tracking attention about COVID-19 vaccines on twitter and newspapers: A dynamic agenda-setting approach. Telematics and Informatics Reports 2024;13:100122
    CrossRef
  82. Zhang JM, Wang Y, Mouton M, Zhang J, Shi M. Public Discourse, User Reactions, and Conspiracy Theories on the X Platform About HIV Vaccines: Data Mining and Content Analysis. Journal of Medical Internet Research 2024;26:e53375
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  83. Jessiman-Perreault G, Boucher J, Kim SY, Frenette N, Badami A, Smith HM, Allen Scott LK. The Role of Scientific Research in Human Papillomavirus Vaccine Discussions on Twitter: Social Network Analysis. JMIR Infodemiology 2024;4:e50551
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  84. Afifi S, Yaman A, Bakti IGMY, Sumaedi S. Health communication and social media: Asian perspective. Global Knowledge, Memory and Communication 2024;
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  85. Jiang X, Su M, Hwang J, Lian R, Brauer M, Kim S, Shah D. Polarization Over Vaccination: Ideological Differences in Twitter Expression About COVID-19 Vaccine Favorability and Specific Hesitancy Concerns. Social Media + Society 2021;7(3)
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6670):

  1. Zhang H, Wheldon C, Tao C, Dunn AG, Guo Y, Huo J, Bian J. Social Web and Health Research. 2019. Chapter 11:207
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  2. Chen X, Hao T. Social Web and Health Research. 2019. Chapter 3:31
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  3. Esha , Zaïane O. Digital Economy. Emerging Technologies and Business Innovation. 2021. Chapter 18:264
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