Sustainable development of plastic pollution awareness campaigns on social media

Abstract

The Sustainable Development Initiative adopts environmental protection as one of its important goals. It aims to save the environmental sectors, reducing the depletion of environmental resources, pollution and protecting biodiversity. To enhance environmental safety, whether in the present or in the future, this research discussed the issue of plastic pollution and the unsustainable use of those materials and its danger effect to the environment. Also, enhancing the user sustainable participation in protecting the environment and changing environmentally unsafe behaviors to reduce pollution, and to encourage the efforts to sustain the environment, to improve the balanced averment, through a Sustainable development of social media awareness campaigns. \xa0The research problem lies in the huge increasing in the consumption of plastic materials despite of the great harm they inflict on living creatures, environment and society, and the weak awareness of the sustainable development goals that adopt a pro-direction to preserve the environment, living creatures and public health. Methodology: The research followed the descriptive analytical methodology to describe and analytic four awareness campaigns specially designed for the study, besides the experimental methodology through preparing a survey questionnaire on a 5-point Likert scale adapted from (Chin YSJ., 2019; Pretto et al., 2015) to measure the impact of the awareness campaigns to raise awareness of the effect of plastic pollution before and after the exposure to the campaigns (for a sample of four groups separately) and enhancing the changing in the unsustainable behavior of the audience in the unsafe usage of plastic. The research has come to several results; the most important states that “there are statistically significant differences between the degrees of responses of the research samples towards the four awareness campaigns after the exposure” depending on the audience segmentation.