Abstract:

Digital media has surpassed traditional media as the most common outlet among female teenagers. We may move from video to audio and from audio to a web connection with a single click. Today, it is gaining popularity among both children and adults. The report would investigate the effect of interactive media use on children's mental wellbeing. Communication, which is a necessary component of existence, may also be accomplished by the use of these technologies. This results in a lack of fixation and poor sleeping habits, which are both a result of using a large number of long-distance interpersonal contact platforms. We are gradually annihilating ourselves more truly. YouTube is currently the biggest website for children of all ages. The effect of digital media contact on children's wellbeing was examined using a quantitative analysis approach. This research demonstrates that social networking has a detrimental impact on students. The researchers discovered a strong correlation between social networking and immoral activity. Additionally, the current research examined the impact of new technology on youth. The effect of digital media contact on children's wellbeing was studied using quantitative analysis. The "Open Info" barometer is used to conduct web analytics on the under-eighteen age group's interactive media use. Finally, our study concludes that digital technology has a huge effect on children's wellbeing, since more children confess to becoming exposed to digital media and facing serious health and mental health problems. They have serious sleep disturbances and often believe the experiments are intrusive. In brief, digital technology makes students and children drowsy and sometimes results in procrastination. A research design is created to examine the effect of new media engagement on children's wellbeing by cross sampling of quantitative research findings. Qualitative analysis is concerned with practices, theories, traditions, and values. Open data is the right to immediate access to data and knowledge. Using Open Data analysis, we will easily determine the number of people under the age of 18 on social media. Additionally, this analytics is included in this respect. We collect cumulative data on how addicted youth people are to social media using a testing tool. This is accomplished by the usage of various media that are familiar with small children.

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