Users considered Social media forums like Facebook, Twitter and blogs as the most prominent social networks in the present age, where users share their views quickly in words and respond to feedback from other users within no time. This study aims to: measure the impact of influencing factors on a particular community when social media forums promote it using a machine learning model. In this research work, we performed an association rule-based method to measure the impact of COVID-19 influencing factors on adolescence when they promoted it on social media. The proposed method gave a remarkable output when we compared it with the different existing approaches. It works well in all respective fields we observed. Last but not least, when compared with survey and official results, the proposed method predicts well, and the obtained results are pretty promising.
The advancement in electronic devices and communication technologies in social media have introduced major changes in today's communication and people have accepted such communicational habits at a rapid pace. The changes involve the way people started interacting with each other, and modern mean of discovering new groups of people, and individuals with similar mindsets, mutual interests, and ideas to share with. As far as the communities are concerned, there are so many social drives (such as "Say No to Plastic") that need to be discussed on a certain platform for their promotion. Although, it's quit is challenging, but with the advancement of communication technologies propagations and the increasing engagement of the youth on social media towards social drives made this achievable. There exists a need to examine the influencing factors that peoples express when such drives are promoted on any social media forum in order to evaluate their sentiments. The objective of this research is to explore the influencing factors of pandemic Corona Virus Disease 2019 (COVID-19) when it has been promoted as a social drive on social media forums. In this research effort, sentiment analysis along with novel similarity measures such as THINKMAP, VADER++ and lexicons have been utilized to analyze the influencing factors of those peoples who are affected by COVID-19 when social media forums promote it as a common social drive. The significance of this research is that it would help to demonstrate that participation of youth of different countries could boost up the promotion of social drives and fasten the process which leads towards the positive awareness about any common social drive. Moreover, it would cover the gap of common issues on social media that are not in practice in past studies. It also strengthens the awareness phenomena in youth beyond boundaries. From the experimental results and discussion, it has been observed that the proposed research performed well in term of accuracy.
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