During the coronavirus pandemic, the number of depression cases has dramatically increased. Several depression sufferers disclose their actual feeling via social media. Thus, big data analytics on social networks for real-time depression detection is pro
doi:10.47001/IRJIET/2023.710083Ravi Supunya, N. H. P.Chathurika, BhagyanieB. N. W., SubasingheK. A., AththanayakeW. D. M. U. P., WaidyarathnaAsahara, G. A.International Research Journal of Innovations in Engineering & Technology...
Social media addiction is global problem that’s becoming a serious cause for concern, as it continues to eat into humanity in a drastic way. In this article, we bring you the latest facts and statistics about social media addiction that we’ve gathered from the internet and pulled from our...
We collected responses for establishing a paradigm of the relationship between the social networking sites (SNS) use and four dimensions of psychological distress including depression, anxiety, loneliness, and sleep disturbances. Facebook is the most popular social media in Bangladesh, we observed 669 ...
teens linked use of social media to depression, anxiety and a poor body image. There’s still not enough evidence to say social media is safe for kids, but there was plenty of evidence to warn kids that they should take care when using it. The takeaway, Whitlock says, is that social ...
To measure depressive symptoms, the researchers used the Center for Epidemiological Studies Depression Scale for theyoung adultsand an age-appropriate version of the same scale for the adolescents. All participants answered two questions about their average daily hours spent on social media—one measurin...
Social media is often blamed for depression, unhappiness, and for creating an illusion of lifestyles that aren’t “real.” However, researchers are finding that various social media platforms provide a wealth of useful data that even the people using them might not recognize. Most recently, medi...
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However, nowadays, the data shared at social media is a ubiquitous source that can be used to detect the depression symptoms even when the student is not able to afford or search for professional care. Previous works have already relied on social media data to detect depression on the general...
A voluminous and complex amount of information —‘big data’ — from social media such as Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying human behaviour in cities. Yet the value of social-media data (SMD) for urban-sustainability research is still poorly...