The extensive impact of social media on communication of public health information is a growing concern. This is particularly worrying in the context of vaccination. Thus, we investigated the quality of TikTok videos regarding vaccination in Arabic, with examination of the association of video source and content type with the information quality and video engagement metrics. The final sample comprised a total of 129 TikTok videos in Arabic posted between January 2021 and July 2024. Videos were categorized based on the source [healthcare professional (HCPs), lay individuals, media], and content type (COVID-19 vaccination, childhood vaccination, general vaccination, others). We utilized a miniaturized version of the DISCERN instrument (mini-DISCERN) scale to evaluate information quality by two independent raters and assessed video engagement metrics (Likes, Comments, Shares, and Saves). The results indicated a statistically significant discrepancy in information quality, with videos from HCPs and media outlets scoring higher on the mini-DISCERN scale compared to those from lay individuals [mean: (4.818 ± 0.726) vs. (4.053 ± 1.441) vs. (2.003 ± 1.640), P < 0.001]. The highest information quality was found for videos on childhood vaccination, whereas content on COVID-19 vaccination was rated significantly lower on mini-DISCERN [mean: (4.510 ± 1.269) vs. (2.542 ± 1.827), P < 0.001]. Videos with higher engagement metrics, particularly those from lay individuals, were negatively correlated with information quality. Linear regression analysis confirmed the significant influence of the creator background (β = −0.618, P < 0.001) and video topic (β = 0.179, P = 0.009) on information quality. This study highlights the critical role of content creator background and topic on the quality of vaccination-related information on TikTok in Arabic. We emphasize the need for stringent verification of TikTok content, especially from lay individuals, as videos with higher engagement metrics often contained lower-quality information regarding vaccination. We recommend enhanced support for content from HCPs and targeted digital literacy programs to combat vaccine misinformation on TikTok effectively.
Citation: Malik Sallam, Kholoud Al-Mahzoum, Lujain Alkandari, Aisha Shabakouh, Asmaa Shabakouh, Abiar Ali, Fajer Alenezi, Muna Barakat. Descriptive analysis of TikTok content on vaccination in Arabic[J]. AIMS Public Health, 2025, 12(1): 137-161. doi: 10.3934/publichealth.2025010
The extensive impact of social media on communication of public health information is a growing concern. This is particularly worrying in the context of vaccination. Thus, we investigated the quality of TikTok videos regarding vaccination in Arabic, with examination of the association of video source and content type with the information quality and video engagement metrics. The final sample comprised a total of 129 TikTok videos in Arabic posted between January 2021 and July 2024. Videos were categorized based on the source [healthcare professional (HCPs), lay individuals, media], and content type (COVID-19 vaccination, childhood vaccination, general vaccination, others). We utilized a miniaturized version of the DISCERN instrument (mini-DISCERN) scale to evaluate information quality by two independent raters and assessed video engagement metrics (Likes, Comments, Shares, and Saves). The results indicated a statistically significant discrepancy in information quality, with videos from HCPs and media outlets scoring higher on the mini-DISCERN scale compared to those from lay individuals [mean: (4.818 ± 0.726) vs. (4.053 ± 1.441) vs. (2.003 ± 1.640), P < 0.001]. The highest information quality was found for videos on childhood vaccination, whereas content on COVID-19 vaccination was rated significantly lower on mini-DISCERN [mean: (4.510 ± 1.269) vs. (2.542 ± 1.827), P < 0.001]. Videos with higher engagement metrics, particularly those from lay individuals, were negatively correlated with information quality. Linear regression analysis confirmed the significant influence of the creator background (β = −0.618, P < 0.001) and video topic (β = 0.179, P = 0.009) on information quality. This study highlights the critical role of content creator background and topic on the quality of vaccination-related information on TikTok in Arabic. We emphasize the need for stringent verification of TikTok content, especially from lay individuals, as videos with higher engagement metrics often contained lower-quality information regarding vaccination. We recommend enhanced support for content from HCPs and targeted digital literacy programs to combat vaccine misinformation on TikTok effectively.
[1] |
Moorhead SA, Hazlett DE, Harrison L, et al. (2013) A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res 15: e85. https://doi.org/10.2196/jmir.1933 ![]() |
[2] |
Chen J, Wang Y (2021) Social Media Use for Health Purposes: Systematic Review. J Med Internet Res 23: e17917. https://doi.org/10.2196/17917 ![]() |
[3] |
Grosberg D, Grinvald H, Reuveni H, et al. (2016) Frequent Surfing on Social Health Networks is Associated With Increased Knowledge and Patient Health Activation. J Med Internet Res 18: e212. https://doi.org/10.2196/jmir.5832 ![]() |
[4] |
Purba AK, Pearce A, Henderson M, et al. (2024) Social media as a determinant of health. Eur J Public Health 34: 425-426. https://doi.org/10.1093/eurpub/ckae029 ![]() |
[5] | Kanchan S, Gaidhane A (2023) Social Media Role and Its Impact on Public Health: A Narrative Review. Cureus 15: e33737. https://doi.org/10.7759/cureus.33737 |
[6] |
Rodrigues F, Ziade N, Jatuworapruk K, et al. (2023) The Impact of Social Media on Vaccination: A Narrative Review. J Korean Med Sci 38: e326. https://doi.org/10.3346/jkms.2023.38.e326 ![]() |
[7] |
Mohammed F, Al-Kumaim NH, Alzahrani AI, et al. (2023) The Impact of Social Media Shared Health Content on Protective Behavior against COVID-19. Int J Environ Res Public Health 20: 1775. https://doi.org/10.3390/ijerph20031775 ![]() |
[8] |
Li YT, Chen ML, Lee HW (2024) Health communication on social media at the early stage of the pandemic: Examining health professionals' COVID-19 related tweets. Soc Sci Med 347: 116748. https://doi.org/10.1016/j.socscimed.2024.116748 ![]() |
[9] |
Wu YQ, Gong J (2023) Mobile social media as a vehicle of health communication: a multimodal discourse analysis of WeChat official account posts during the COVID-19 crisis. Hum Soc Sci Commun 10: 787. https://doi.org/10.1057/s41599-023-02259-9 ![]() |
[10] |
Garrett C, Aghaei A, Aggarwal A, et al. (2024) The Role of Social Media in the Experiences of COVID-19 Among Long-Hauler Women: Qualitative Study. JMIR Hum Factors 11: e50443. https://doi.org/10.2196/50443 ![]() |
[11] |
Gesualdo F, Parisi L, Croci I, et al. (2022) How the Italian Twitter Conversation on Vaccines Changed During the First Phase of the Pandemic: A Mixed-Method Analysis. Front Public Health 10: 824465. https://doi.org/10.3389/fpubh.2022.824465 ![]() |
[12] |
De Rosis S, Lopreite M, Puliga M, et al. (2021) The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis. Health Policy 125: 987-994. https://doi.org/10.1016/j.healthpol.2021.06.006 ![]() |
[13] |
De Rosis S, Lopreite M, Puliga M, et al. (2023) Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy. Socioecon Plann Sci 87: 101610. https://doi.org/10.1016/j.seps.2023.101610 ![]() |
[14] |
Lopreite M, Panzarasa P, Puliga M, et al. (2021) Early warnings of COVID-19 outbreaks across Europe from social media. Sci Rep 11: 2147. https://doi.org/10.1038/s41598-021-81333-1 ![]() |
[15] |
Shen C, Chen A, Luo C, et al. (2020) Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. J Med Internet Res 22: e19421. https://doi.org/10.2196/19421 ![]() |
[16] |
Donelle L, Comer L, Hiebert B, et al. (2023) Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review. Digit Health 9: 20552076231173220. https://doi.org/10.1177/20552076231173220 ![]() |
[17] |
Parisi L, Mulargia S, Comunello F, et al. (2023) Exploring the vaccine conversation on TikTok in Italy: beyond classic vaccine stances. BMC Public Health 23: 880. https://doi.org/10.1186/s12889-023-15748-y ![]() |
[18] | Shutsko A (2020) User-Generated Short Video Content in Social Media. A Case Study of TikTokUser-Generated Short Video Content in Social Media. A Case Study of TikTok. Cham: Springer International Publishing p. 108-125. https://doi.org/10.1007/978-3-030-49576-3_8 |
[19] |
Song S, Zhao YC, Yao X, et al. (2021) Short video apps as a health information source: an investigation of affordances, user experience and users' intention to continue the use of TikTok. Internet Res 31: 2120-2142. https://doi.org/10.1108/INTR-10-2020-0593 ![]() |
[20] |
Anderer S (2024) Patients Are Turning to TikTok for Health Information-Here's What Clinicians Need to Know. Jama 331: 1262-1264. https://doi.org/10.1001/jama.2024.1280 ![]() |
[21] | Rust BD, Christoforides E, Singh A, et al. (2024) Evaluating the Distribution, Quality, and Educational Value of Videos Related to Knee Instability Exercises on the Social Media Platform TikTok. Cureus 16: e57104. https://doi.org/10.7759/cureus.57104 |
[22] |
Bengi VU, Saraç Atagün Ö, Ceylan Şen S, et al. (2024) How much information regarding gingival enlargement can we get from TikTok and YouTube?. Spec Care Dentist 44: 1115-1125. https://doi.org/10.1111/scd.12957 ![]() |
[23] |
Mao T, Zhao X, Jiang K, et al. (2024) Evaluation of TikTok videos on acute pancreatitis: content quality and reliability analysis. BMC Public Health 24: 1216. https://doi.org/10.1186/s12889-024-18708-2 ![]() |
[24] |
Kirkpatrick CE, Lawrie LL (2024) TikTok as a Source of Health Information and Misinformation for Young Women in the United States: Survey Study. JMIR Infodemiology 4: e54663. https://doi.org/10.2196/54663 ![]() |
[25] |
Rosen R, Vasiloudes V, Mhaskar R (2024) The emergence of MedTok: a qualitative analysis of popular medical TikTok videos. Postgrad Med J 20: qgae021. https://doi.org/10.1093/postmj/qgae021 ![]() |
[26] |
Song S, Zhao YC, Yao X, et al. (2022) Serious information in hedonic social applications: affordances, self-determination and health information adoption in TikTok. J Doc 78: 890-911. https://doi.org/10.1108/JD-08-2021-0158 ![]() |
[27] |
Malik M, Bauer-Maison N, Guarna G, et al. (2024) Social Media Misinformation about Pregnancy and COVID-19 Vaccines: A Systematic Review. Med Princ Pract 33: 232-241. https://doi.org/10.1159/000538346 ![]() |
[28] | Yuchen W (2022) A Review of Reasons for TikTok's Global Surge.Atlantis Press p. 588-591. https://doi.org/10.2991/assehr.k.220105.107 |
[29] | Zhou R (2024) Understanding the Impact of TikTok's Recommendation Algorithm on User Engagement. Int J Comput Sc Inf Technol 3: 201-208. https://doi.org/10.62051/ijcsit.v3n2.24 |
[30] | Lu Z (2024) Personalized Marketing and Recommendation Systems on TikTok. Adv Econ Manage Polit Sci 88: 46-50. https://doi.org/10.54254/2754-1169/88/20240874 |
[31] |
Zhao Z (2021) Analysis on the “Douyin (Tiktok) Mania” Phenomenon Based on Recommendation Algorithms. E3S Web Conf 235: 03029. https://doi.org/10.1051/e3sconf/202123503029 ![]() |
[32] |
Scalvini M (2023) Making Sense of Responsibility: A Semio-Ethic Perspective on TikTok's Algorithmic Pluralism. Soc Media Soc 9: 20563051231180625. https://doi.org/10.1177/20563051231180625 ![]() |
[33] |
Southwick L, Guntuku SC, Klinger EV, et al. (2021) Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic. J Adolesc Health 69: 234-241. https://doi.org/10.1016/j.jadohealth.2021.05.010 ![]() |
[34] |
Shi A, El Haddad J, Cai P, et al. (2023) Mpox (monkeypox) information on TikTok: analysis of quality and audience engagement. BMJ Glob Health 8: e011138. https://doi.org/10.1136/bmjgh-2022-011138 ![]() |
[35] |
Zenone M, Ow N, Barbic S (2021) TikTok and public health: a proposed research agenda. BMJ Glob Health 6: e007648. https://doi.org/10.1136/bmjgh-2021-007648 ![]() |
[36] |
Lan DH, Tung TM (2024) Exploring fake news awareness and trust in the age of social media among university student TikTok users. Cogent Social Sciences 10: 2302216. https://doi.org/10.1080/23311886.2024.2302216 ![]() |
[37] |
Ortiz-Martínez Y, Ortiz-Martínez HM (2023) TikTok and Its Importance in Monkeypox Public Health Engagement. J Adolesc Health 72: 312. https://doi.org/10.1016/j.jadohealth.2022.10.016 ![]() |
[38] |
Vosoughi S, Roy D, Aral S (2018) The spread of true and false news online. Science 359: 1146-1151. https://doi.org/10.1126/science.aap9559 ![]() |
[39] |
Burki T (2019) Vaccine misinformation and social media. Lancet Digit Health 1: e258-e259. https://doi.org/10.1016/S2589-7500(19)30136-0 ![]() |
[40] |
Gagnon-Dufresne MC, Azevedo Dantas M, Abreu Silva K, et al. (2023) Social Media and the Influence of Fake News on Global Health Interventions: Implications for a Study on Dengue in Brazil. Int J Environ Res Public Health 20: 5299. https://doi.org/10.3390/ijerph20075299 ![]() |
[41] |
Berdida DJE, Franco FMC, Santos XAG, et al. (2023) Filipinos' COVID-19 vaccine hesitancy comments in TikTok videos: A manifest content analysis. Public Health Nurs 40: 135-143. https://doi.org/10.1111/phn.13143 ![]() |
[42] | Lundy M (2023) TikTok and COVID-19 Vaccine Misinformation: New Avenues for Misinformation Spread, Popular Infodemic Topics, and Dangerous Logical Fallacies. Int J Commun 17: 24. |
[43] |
van Kampen K, Laski J, Herman G, et al. (2022) Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study. JMIR Infodemiology 2: e38316. https://doi.org/10.2196/38316 ![]() |
[44] |
Sallam M, Dababseh D, Yaseen A, et al. (2020) COVID-19 misinformation: Mere harmless delusions or much more? A knowledge and attitude cross-sectional study among the general public residing in Jordan. PLoS One 15: e0243264. https://doi.org/10.1371/journal.pone.0243264 ![]() |
[45] |
Sallam M, Kareem N, Alkurtas M (2024) The negative impact of misinformation and vaccine conspiracy on COVID-19 vaccine uptake and attitudes among the general public in Iraq. Prev Med Rep 43: 102791. https://doi.org/10.1016/j.pmedr.2024.102791 ![]() |
[46] |
Al-Rawi A, Fakida A, Grounds K (2022) Investigation of COVID-19 Misinformation in Arabic on Twitter: Content Analysis. JMIR Infodemiology 2: e37007. https://doi.org/10.2196/37007 ![]() |
[47] |
Alsanafi M, Al-Mahzoum K, Sallam M (2022) Monkeypox Knowledge and Confidence in Diagnosis and Management with Evaluation of Emerging Virus Infection Conspiracies among Health Professionals in Kuwait. Pathogens 11: 994. https://doi.org/10.3390/pathogens11090994 ![]() |
[48] |
Sallam M, Dababseh D, Eid H, et al. (2021) High Rates of COVID-19 Vaccine Hesitancy and Its Association with Conspiracy Beliefs: A Study in Jordan and Kuwait among Other Arab Countries. Vaccines (Basel) 9: 42. https://doi.org/10.3390/vaccines9010042 ![]() |
[49] |
Sallam M, Eid H, Awamleh N, et al. (2022) Conspiratorial Attitude of the General Public in Jordan towards Emerging Virus Infections: A Cross-Sectional Study Amid the 2022 Monkeypox Outbreak. Trop Med Infect Dis 7: 411. https://doi.org/10.3390/tropicalmed7120411 ![]() |
[50] |
Sallam M, Ghazy RM, Al-Salahat K, et al. (2022) The Role of Psychological Factors and Vaccine Conspiracy Beliefs in Influenza Vaccine Hesitancy and Uptake among Jordanian Healthcare Workers during the COVID-19 Pandemic. Vaccines (Basel) 10: 1355. https://doi.org/10.3390/vaccines10081355 ![]() |
[51] |
Sallam M, Abbasi H, Obeidat RJ, et al. (2023) Unraveling the association between vaccine attitude, vaccine conspiracies and self-reported side effects following COVID-19 vaccination among nurses and physicians in Jordan. Vaccine X 15: 100405. https://doi.org/10.1016/j.jvacx.2023.100405 ![]() |
[52] |
Alshehri S, Sallam M (2023) Vaccine conspiracy association with higher COVID-19 vaccination side effects and negative attitude towards booster COVID-19, influenza and monkeypox vaccines: A pilot study in Saudi Universities. Hum Vaccin Immunother 19: 2275962. https://doi.org/10.1080/21645515.2023.2275962 ![]() |
[53] |
Sallam M, Al-Mahzoum K, Alenezi MA, et al. (2024) The Association between Self-Reported Long COVID Symptoms and COVID-19 Conspiracy Theories in Jordan and Kuwait. COVID 4: 1440-1462. https://doi.org/10.3390/covid4090102 ![]() |
[54] |
Noman M, Gurgun S, Phalp K, et al. (2024) Challenging others when posting misinformation: a UK vs. Arab cross-cultural comparison on the perception of negative consequences and injunctive norms. Behav Inf Technol 2023: 1-21. https://doi.org/10.1080/0144929X.2023.2298306 ![]() |
[55] | Radcliffe D, Abuhmaid H, Mahliaire N (2023) Social Media in the Middle East 2022: A Year in Review. SSRN . https://doi.org/10.2139/ssrn.4411239 |
[56] |
Gao Y, Liu F, Gao L (2023) Echo chamber effects on short video platforms. Sci Rep 13: 6282. https://doi.org/10.1038/s41598-023-33370-1 ![]() |
[57] |
Metzler H, Garcia D (2023) Social Drivers and Algorithmic Mechanisms on Digital Media. Perspect Psychol Sci 19: 735-748. https://doi.org/10.1177/17456916231185057 ![]() |
[58] |
Agrawal E Going Viral: An Analysis of Advertising of Technology Products on TikTok (2023). |
[59] |
Montag C, Yang H, Elhai JD (2021) On the Psychology of TikTok Use: A First Glimpse From Empirical Findings. Front Public Health 9: 641673. https://doi.org/10.3389/fpubh.2021.641673 ![]() |
[60] |
Shin D (2024) Misinformation, Extremism, and Conspiracies: Amplification and Polarization by Algorithms. Artificial Misinformation: Exploring Human-Algorithm Interaction Online. Cham: Springer Nature Switzerland p. 49-78. https://doi.org/10.1007/978-3-031-52569-8_3 ![]() |
[61] |
Cinelli M, De Francisci Morales G, Galeazzi A, et al. (2021) The echo chamber effect on social media. Proc Natl Acad Sci U S A 118: e2023301118. https://doi.org/10.1073/pnas.2023301118 ![]() |
[62] |
Abdaljaleel M, Barakat M, Mahafzah A, et al. (2024) TikTok content on measles-rubella vaccine in Jordan: A cross-sectional study highlighting the spread of vaccine misinformation. Narra J 4: e877. https://doi.org/10.52225/narra.v4i2.877 ![]() |
[63] |
Baghdadi JD, Coffey KC, Belcher R, et al. (2023) #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior. JAMIA Open 6: ooad013. https://doi.org/10.1093/jamiaopen/ooad013 ![]() |
[64] |
Kong W, Song S, Zhao YC, et al. (2021) TikTok as a Health Information Source: Assessment of the Quality of Information in Diabetes-Related Videos. J Med Internet Res 23: e30409. https://doi.org/10.2196/30409 ![]() |
[65] |
Ji-Xu A, Htet KZ, Leslie KS (2023) Monkeypox Content on TikTok: Cross-sectional Analysis. J Med Internet Res 25: e44697. https://doi.org/10.2196/44697 ![]() |
[66] |
He Z, Wang Z, Song Y, et al. (2023) The Reliability and Quality of Short Videos as a Source of Dietary Guidance for Inflammatory Bowel Disease: Cross-sectional Study. J Med Internet Res 25: e41518. https://doi.org/10.2196/41518 ![]() |
[67] |
Sun F, Zheng S, Wu J (2023) Quality of Information in Gallstone Disease Videos on TikTok: Cross-sectional Study. J Med Internet Res 25: e39162. https://doi.org/10.2196/39162 ![]() |
[68] | Al Arabiya EnglishAstraZeneca admits its COVID-19 vaccine causes side effects, including blood clots (2024). Available from: https://english.alarabiya.net/News/world/2024/04/30/astrazeneca-admits-its-covid-19-vaccine-causes-side-effects-including-blood-clots |
[69] |
Sendra A, Torkkola S, Parviainen J (2024) AstraZeneca Vaccine Controversies in the Media: Theorizing About the Mediatization of Ignorance in the Context of the COVID-19 Vaccination Campaign. Health Commun 39: 541-551. https://doi.org/10.1080/10410236.2023.2171951 ![]() |
[70] |
Charnock D, Shepperd S, Needham G, et al. (1999) DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health 53: 105-111. https://doi.org/10.1136/jech.53.2.105 ![]() |
[71] |
Evans E, Gory LB, O'Kane A (2022) TikTok: An Opportunity for Antibiotic Education?. Innov Pharm 13: 10.24926/iip.v13i4.4916. https://doi.org/10.24926/iip.v13i4.4916 ![]() |
[72] |
Ming S, Han J, Li M, et al. (2022) TikTok and adolescent vision health: Content and information quality assessment of the top short videos related to myopia. Front Public Health 10: 1068582. https://doi.org/10.3389/fpubh.2022.1068582 ![]() |
[73] |
Xue X, Yang X, Xu W, et al. (2022) TikTok as an Information Hodgepodge: Evaluation of the Quality and Reliability of Genitourinary Cancers Related Content. Front Oncol 12: 789956. https://doi.org/10.3389/fonc.2022.789956 ![]() |
[74] |
Tan W, Liu Y, Shi Z, et al. (2024) Information quality of videos related to Helicobacter pylori infection on TikTok: Cross-sectional study. Helicobacter 29: e13029. https://doi.org/10.1111/hel.13029 ![]() |
[75] |
McHugh ML (2012) Interrater reliability: the kappa statistic. Biochem Med (Zagreb) 22: 276-282. https://doi.org/10.11613/BM.2012.031 ![]() |
[76] |
Yeung A, Ng E, Abi-Jaoude E (2022) TikTok and Attention-Deficit/Hyperactivity Disorder: A Cross-Sectional Study of Social Media Content Quality. Can J Psychiatry 67: 899-906. https://doi.org/10.1177/07067437221082854 ![]() |
[77] |
Turuba R, Cormier W, Zimmerman R, et al. (2024) Exploring How Youth Use TikTok for Mental Health Information in British Columbia: Semistructured Interview Study With Youth. JMIR Infodemiology 4: e53233. https://doi.org/10.2196/53233 ![]() |
[78] |
Dimitroyannis R, Fenton D, Cho S, et al. (2024) A Social Media Quality Review of Popular Sinusitis Videos on TikTok. Otolaryngol Head Neck Surg 170: 1456-1466. https://doi.org/10.1002/ohn.688 ![]() |
[79] |
Chen K, Cai Y, Jiang L (2024) TikTok Videos Related to Rhinoplasty in China: Characteristics and the Quality of the Information. Aesthetic Plast Surg 48: 3091-3097. https://doi.org/10.1007/s00266-024-03940-3 ![]() |
[80] |
Gilmore D, Radford D, Haas MK, et al. (2024) Building Community and Identity Online: A Content Analysis of Highly Viewed #Autism TikTok Videos. Autism Adulthood 6: 95-105. https://doi.org/10.1089/aut.2023.0019 ![]() |
[81] |
Stoddard RE, Pelletier A, Sundquist EN, et al. (2024) Popular contraception videos on TikTok: An assessment of content topics. Contraception 129: 110300. https://doi.org/10.1016/j.contraception.2023.110300 ![]() |
[82] |
Basch CH, Meleo-Erwin Z, Fera J, et al. (2021) A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Hum Vaccin Immunother 17: 2373-2377. https://doi.org/10.1080/21645515.2021.1894896 ![]() |
[83] |
Ziakas PD, Mylonakis E (2023) Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLoS Digit Health 2: e0000271. https://doi.org/10.1371/journal.pdig.0000271 ![]() |
[84] |
Ulrichs T, Rolland M, Wu J, et al. (2024) Changing epidemiology of COVID-19: potential future impact on vaccines and vaccination strategies. Expert Rev Vaccines 23: 510-522. https://doi.org/10.1080/14760584.2024.2346589 ![]() |
[85] |
Kubb C, Foran HM (2020) Online Health Information Seeking by Parents for Their Children: Systematic Review and Agenda for Further Research. J Med Internet Res 22: e19985. https://doi.org/10.2196/19985 ![]() |
[86] |
Feijoo B, Sádaba C, Zozaya L (2023) Distrust by default: analysis of parent and child reactions to health misinformation exposure on TikTok. Int J Adolesc Youth 28: 2244595. https://doi.org/10.1080/02673843.2023.2244595 ![]() |
[87] | Feldkamp J (2021) The Rise of TikTok: The Evolution of a Social Media Platform During COVID-19. Digital Responses to Covid-19: Digital Innovation, Transformation, and Entrepreneurship During Pandemic Outbreaks. Cham: Springer International Publishing p. 73-85. https://doi.org/10.1007/978-3-030-66611-8_6 |
[88] |
Rejeb A, Rejeb K, Appolloni A, et al. (2024) Mapping the scholarly landscape of TikTok (Douyin): A bibliometric exploration of research topics and trends. Digital Business 4: 100075. https://doi.org/10.1016/j.digbus.2024.100075 ![]() |
[89] |
Basch CH, Mohlman J, Fera J, et al. (2021) Community Mitigation of COVID-19 and Portrayal of Testing on TikTok: Descriptive Study. JMIR Public Health Surveill 7: e29528. https://doi.org/10.2196/29528 ![]() |
[90] |
Sharabati A-AA, Al-Haddad S, Al-Khasawneh M, et al. (2022) The Impact of TikTok User Satisfaction on Continuous Intention to Use the Application. JOItmC 8: 125. https://doi.org/10.3390/joitmc8030125 ![]() |
[91] |
Dimitroyannis R, Cho S, Thodupunoori S, et al. (2024) “Does My Kid Have an Ear Infection?” An Analysis of Pediatric Acute Otitis Media Videos on TikTok. Laryngoscope 134: 5184-5192. https://doi.org/10.1002/lary.31617 ![]() |
[92] |
Boatman DD, Eason S, Conn ME, et al. (2022) Human Papillomavirus Vaccine Messaging on TikTok: Social Media Content Analysis. Health Promot Pract 23: 382-387. https://doi.org/10.1177/15248399211013002 ![]() |
[93] |
Jenkins EL, Ilicic J, Molenaar A, et al. (2020) Strategies to Improve Health Communication: Can Health Professionals Be Heroes?. Nutrients 12: 1861. https://doi.org/10.3390/nu12061861 ![]() |
[94] |
Yang B, Li Y, Terán L, et al. (2024) COVID-19 Vaccines #ForYou: Analyzing COVID-19 Vaccine Videos on TikTok During the Early Phase of the Vaccine Rollout in the U.S. Health Commun 39: 1594-1605. https://doi.org/10.1080/10410236.2023.2227431 ![]() |
[95] |
Ling C, Blackburn J, De Cristofaro E, et al. (2022) Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos. Proceedings of the 14th ACM Web Science Conference 2022. Barcelona, Spain: Association for Computing Machinery p. 164-173. https://doi.org/10.1145/3501247.3531551 ![]() |
[96] |
Wahid R, Karjaluoto H, Taiminen K, et al. (2022) Becoming TikTok Famous: Strategies for Global Brands to Engage Consumers in an Emerging Market. J Int Mark 31: 106-123. https://doi.org/10.1177/1069031X221129554 ![]() |
[97] |
Jiang J, Ren X, Ferrara E (2021) Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study. JMIRx Med 2: e29570. https://doi.org/10.2196/29570 ![]() |
[98] |
Dolan R, Conduit J, Frethey-Bentham C, et al. (2019) Social media engagement behavior. Eur J Mark 53: 2213-2243. https://doi.org/10.1108/EJM-03-2017-0182 ![]() |
[99] |
Baumann F, Lorenz-Spreen P, Sokolov IM, et al. (2020) Modeling Echo Chambers and Polarization Dynamics in Social Networks. Phys Rev Lett 124: 048301. https://doi.org/10.1103/PhysRevLett.124.048301 ![]() |
[100] | Kim L (2023) The Echo chamber-driven Polarization on Social Media. J Stud Res . https://doi.org/10.47611/jsr.v12i4.2274 |
[101] |
Lim SL, Bentley PJ (2022) Opinion amplification causes extreme polarization in social networks. Sci Rep 12: 18131. https://doi.org/10.1038/s41598-022-22856-z ![]() |
[102] | Guo J, Chen HT (2022) How Does Multi-Platform Social Media Use Lead to Biased News Engagement? Examining the Role of Counter-Attitudinal Incidental Exposure, Cognitive Elaboration, and Network Homogeneity. Soc Media Soc 8: 205630512211291. https://doi.org/10.1177/20563051221129140 |
[103] |
Avin C, Daltrophe H, Lotker Z (2024) On the impossibility of breaking the echo chamber effect in social media using regulation. Sci Rep 14: 1107. https://doi.org/10.1038/s41598-023-50850-6 ![]() |
[104] |
West JD, Bergstrom CT (2021) Misinformation in and about science. Proc Natl Acad Sci U S A 118: e1912444117. https://doi.org/10.1073/pnas.1912444117 ![]() |
[105] |
Müller J, Tellier A, Kurschilgen M (2022) Echo chambers and opinion dynamics explain the occurrence of vaccination hesitancy. R Soc Open Sci 9: 220367. https://doi.org/10.1098/rsos.220367 ![]() |
[106] |
Schmidt AL, Zollo F, Scala A, et al. (2018) Polarization of the vaccination debate on Facebook. Vaccine 36: 3606-3612. https://doi.org/10.1016/j.vaccine.2018.05.040 ![]() |
[107] |
Wang D, Zhou Y, Ma F (2022) Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis. J Med Internet Res 24: e40701. https://doi.org/10.2196/40701 ![]() |
[108] |
Acemoglu D, Ozdaglar A, Siderius J (2023) A Model of Online Misinformation. Rev Econ Stud 91: 3117-3150. https://doi.org/10.1093/restud/rdad111 ![]() |
[109] |
Oh J, Jin E, Zhuo S (2024) How Perceived Humor Motivates and Demotivates Information Processing of TikTok Videos: The Moderating Role of TikTok Gratifications. Health Commun 2024: 1-12. https://doi.org/10.1080/10410236.2024.2389353 ![]() |
[110] |
Yang EF, Kriss LA, Sun Y (2024) Fun with Frustration? TikTok Influencers' Emotional Expression Predicts User Engagement with COVID-19 Vaccination Messages. Health Commun 39: 2458-2473. https://doi.org/10.1080/10410236.2023.2259621 ![]() |
[111] |
De Coninck D, Frissen T, Matthijs K, et al. (2021) Beliefs in Conspiracy Theories and Misinformation About COVID-19: Comparative Perspectives on the Role of Anxiety, Depression and Exposure to and Trust in Information Sources. Front Psychol 12: 646394. https://doi.org/10.3389/fpsyg.2021.646394 ![]() |
[112] |
Ferreira Caceres MM, Sosa JP, Lawrence JA, et al. (2022) The impact of misinformation on the COVID-19 pandemic. AIMS Public Health 9: 262-277. https://doi.org/10.3934/publichealth.2022018 ![]() |
[113] |
Sallam M, Al-Sanafi M, Sallam M (2022) A Global Map of COVID-19 Vaccine Acceptance Rates per Country: An Updated Concise Narrative Review. J Multidiscip Healthc 15: 21-45. https://doi.org/10.2147/jmdh.S347669 ![]() |
[114] |
Sallam M (2021) COVID-19 Vaccine Hesitancy Worldwide: A Concise Systematic Review of Vaccine Acceptance Rates. Vaccines (Basel) 9: 160. https://doi.org/10.3390/vaccines9020160 ![]() |
[115] |
MacDonald NE (2015) Vaccine hesitancy: Definition, scope and determinants. Vaccine 33: 4161-4164. https://doi.org/10.1016/j.vaccine.2015.04.036 ![]() |
[116] |
Larson HJ, Gakidou E, Murray CJL (2022) The Vaccine-Hesitant Moment. N Engl J Med 387: 58-65. https://doi.org/10.1056/NEJMra2106441 ![]() |
[117] |
Al-Rawi A, Zemenchik K (2023) Tiktoking COVID-19 with frontline workers. Digit Health 9: 20552076231152766. https://doi.org/10.1177/20552076231152766 ![]() |
[118] |
O'Donnell N, Jerin SI, Mu D (2023) Using TikTok to Educate, Influence, or Inspire? A Content Analysis of Health-Related EduTok Videos. J Health Commun 28: 539-551. https://doi.org/10.1080/10810730.2023.2234866 ![]() |
[119] |
Basch CH, Fera J, Pierce I, et al. (2021) Promoting Mask Use on TikTok: Descriptive, Cross-sectional Study. JMIR Public Health Surveill 7: e26392. https://doi.org/10.2196/26392 ![]() |
[120] |
Basch CH, Yalamanchili B, Fera J (2022) #Climate Change on TikTok: A Content Analysis of Videos. J Community Health 47: 163-167. https://doi.org/10.1007/s10900-021-01031-x ![]() |
[121] |
Bornkessel A, Furberg R, Lefebvre RC (2014) Social Media: Opportunities for Quality Improvement and Lessons for Providers—A Networked Model for Patient-Centered Care Through Digital Engagement. Curr Cardiol Rep 16: 504. https://doi.org/10.1007/s11886-014-0504-5 ![]() |
[122] |
Yalamanchili B, Donelle L, Jurado LF, et al. (2022) Investigating #covidnurse Messages on TikTok: Descriptive Study. JMIR Nurs 5: e35274. https://doi.org/10.2196/35274 ![]() |
[123] | Hong Y, Lee N, Kirkpatrick CE, et al. (2024) “Trust Me, I'm a Doctor.” How TikTok Videos from Different Sources Influence Clinical Trial Participation. Health Commun 2024: 1-12. https://doi.org/10.1080/10410236.2024.2346680 |
[124] |
Cooper S, Gadanya MA, Kaawa-Mafigiri D, et al. (2024) Using social media to build confidence in vaccines: lessons from community engagement and social science research in Africa. BMJ 384: e075564. https://doi.org/10.1136/bmj-2023-075564 ![]() |
[125] |
Kirkpatrick CE, Lawrie LL (2024) Can Videos on TikTok Improve Pap Smear Attitudes and Intentions? Effects of Source and Autonomy Support in Short-Form Health Videos. Health Commun 39: 2066-2078. https://doi.org/10.1080/10410236.2023.2254962 ![]() |
[126] |
Liu Z, Chen Y, Lin Y, et al. (2024) YouTube/ Bilibili/ TikTok videos as sources of medical information on laryngeal carcinoma: cross-sectional content analysis study. BMC Public Health 24: 1594. https://doi.org/10.1186/s12889-024-19077-6 ![]() |
[127] |
Basch CH, Fera J, Pellicane A, et al. (2021) Videos With the Hashtag #vaping on TikTok and Implications for Informed Decision-making by Adolescents: Descriptive Study. JMIR Pediatr Parent 4: e30681. https://doi.org/10.2196/30681 ![]() |
[128] |
Dobbs PD, Schisler ED, McCormick C (2024) #Discreetshipping: Selling E-cigarettes on TikTok. Nicotine Tob Res 2024: ntae081. https://doi.org/10.1093/ntr/ntae081 ![]() |