Extrapolation of Online News Spread on Social Media

Abstract

Social medias influence on news dissemination has grown as it has gained in popularity. The news spreads more quickly on social media than it does on conventional media because it is so accessible and provides easy interaction. This study envisions the ongoing dialogue between experienced and ignorant users. As more people use social media, they are more likely to receive news that affects their views. Despite this, social media makes it simple for people to get a range of news stories from many sources. It is true that utilising social media to distribute news has its pros and cons, but it is important to take into account how things function there. Six hypotheses are used in the study’s mathematical derivation of the rate of change of news diffusion. It has been discovered that when an ‘informed’ user shares or likes the news, the rate at which it spreads on social media may be mathematically extrapolated. The difficult part is figuring out how long it will take to reach the maximum populace. The research runs a thorough simulation analysis to determine when news will reach the people. The findings could provide some insightful information about how news spreads on social media.

Keywords: Informed Users, Non-Informed Users, Pandemic Model, Social Media, Mathematical Modelling

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