Introduction: Social media and acceptance of the information related to health is becoming acceptable to an extent for the public. The use of social media is rapidly growing and it is being used both by healthcare professionals and patients. The aim of this study was to evaluate the use of social networking applications for experience and behaviour towards health information among diabetic patients. Materials and Methods: The present study was a cross sectional study, conducted in spring of 2020 (April to May). The distribution of the survey questionnaire was done online through various social media platforms with a convenience sample of people with diabetes (n=569), Eligibility criteria were aged 18 and above, Saudis with diagnosis of diabetes and willing to give consent were included in the study. Exclusion criteria were less than 18 years old and non-Saudis and non-diabetic. Results: Analysis of online survey data indicated that WhatsApp (89.1%) was the most commonly used social network followed by Snapchat (66.3%), Instagram (40.6%), Twitter (35%), Telegram (19.5%), Tiktok (12.5%) and Facebook (10%). About 25 (4.4%) participants strongly agreed that health information from social media impact life positively. More than half 290(51%) participants agreed to apply information only from the trusted websites. Near about half 275(48.3%) disagreed that social media could invent treatment for diabetes more than believing in health institution and medicinal industries. Nearly one-fourth 141(24.8%) of participants agreed that all health information from social media is right. Almost 264 (46.4%) said that they sometimes face health information in social media. Nearly 265(46.6%) patients mentioned that they never applied themselves any information claiming treating diabetes. Conclusion: This study shows the effect of social media on diabetic patients and various responses of diabetic patients in regard of their beliefs and experience towards health information from social media. Most of the respondents agreed that they apply information obtained from social network and the same could lead to some deleterious effects on health.