Published on in Vol 21, No 10 (2019): October

Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis

Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis

Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis

Journals

  1. Viguria I, Alvarez-Mon M, Llavero-Valero M, Asunsolo del Barco A, Ortuño F, Alvarez-Mon M. Eating Disorder Awareness Campaigns: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2020;22(7):e17626 View
  2. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
  3. Luo Y, Ma J, Yeo C. BCMM: A novel post-based augmentation representation for early rumour detection on social media. Pattern Recognition 2021;113:107818 View
  4. Alghamdi A, Plunkett M. The Perceived Impact of Social Networking Sites and Apps on the Social Capital of Saudi Postgraduate Students: A Case Study. Future Internet 2021;13(1):20 View
  5. Elfanagely O, Gorrai A, Wallden O, Arias F, Feingold D, Patel N. Understanding Colorectal Twitter: A Comparison of its Highest and Lowest Rank Influencers. Cancer Treatment and Research Communications 2021:100419 View
  6. Albalawi Y, Buckley J, Nikolov N. Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media. Journal of Big Data 2021;8(1) View
  7. Xie W, Ji M, Liu Y, Hao T, Chow C. Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach. JMIR Medical Informatics 2021;9(7):e30115 View
  8. Swetland S, Rothrock A, Andris H, Davis B, Nguyen L, Davis P, Rothrock S. Accuracy of health‐related information regarding COVID‐19 on Twitter during a global pandemic. World Medical & Health Policy 2021;13(3):503 View
  9. Khanam K, Srivastava G, Mago V. The homophily principle in social network analysis: A survey. Multimedia Tools and Applications 2023;82(6):8811 View
  10. Tous-Rovirosa A, Dergacheva D. #EsteVirusloParamosUnidos: War-like political communication on Twitter. Creating homogeneous communities in the Covid-19 crisis. Estudios sobre el Mensaje Periodístico 2021;27(4):1227 View
  11. Sitto K, Lubinga E. “My Birth Control Makes Me Emotionally Psycho”: Online Female Narratives about Contraceptives. Communicatio 2021;47(2):96 View
  12. Albalawi Y, Nikolov N, Buckley J. Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study. JMIR Formative Research 2022;6(6):e34834 View
  13. Alvarez-Mon M, Donat-Vargas C, Santoma-Vilaclara J, Anta L, Goena J, Sanchez-Bayona R, Mora F, Ortega M, Lahera G, Rodriguez-Jimenez R, Quintero J, Álvarez-Mon M. Assessment of Antipsychotic Medications on Social Media: Machine Learning Study. Frontiers in Psychiatry 2021;12 View
  14. Pelen N, Gölgeli M. Vector-borne disinformation during disasters and emergencies. Physica A: Statistical Mechanics and its Applications 2022;596:127157 View
  15. Korkmaz E, Eti Aslan F. Investigating Post-Discharge Experiences in Ileostomy: Systematic Review and Meta-analysis. Turkish Journal of Colorectal Disease 2022;32(2):77 View
  16. Zeid N, Tang L, Amith M. The spread of COVID-19 vaccine information in Arabic on YouTube: A network exposure study. DIGITAL HEALTH 2023;9 View