Trend Forecasting of Twitter Followers for Plan International
Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.7, No. 6)Publication Date: 2018-12-31
Authors : Jolly Masih; Dheereaj Nim;
Page : 87-96
Keywords : ARIMA Model; NGO; Twitter Followers; Engagement Rate; Education; End FGM; Child Rights; End to Child Trafficking & Child Marriage;
Abstract
Plan International is working globally in more than 70 countries for the benefit of the rights of children and girls. Present study is an effort to analyze the Twitter profile of Plan International Headquarter and few regional offices for the period from July 2014 to June 2016. Social media is used by many commercial organizations to communicate their work or promoting their products to prospective customers. For the study 6 regional offices of Plan International were studies namely IH (International headquarters of Plan International), RESA (Region of Eastern and Southern Africa for Plan International), ARO (Asia's Regional Office for Plan International), WARO (Western Africa Regional Office for Plan International), ROA (Region Office of America for Plan International) and EU (European Union office for Plan International). ARIMA forecasting technique was used to predict the followers for coming 6 months (June 2016-December2016) for regional offices and International Headquarters of Plan International. Various campaigns which contributed to success on Twitter for Plan International were “Education”, ‘End FGM”, “Child rights”, “End to child trafficking”, “Child Marriage‟, “Child Mothers‟, “Because I am a girl‟, “Global goals” and celebrating international days like ”Mother's Day”, „”Women's day‟, “Menstrual Hygiene Day‟ etc. IH was most progressive profile of Plan International since they organized campaigns on regional and global level. Study shows that ARIMA model can be used by NGOs to forecast the follower base of their profiles and to design the campaigns accordingly. Higher Twitter follower base helps to attract higher funds, grants and sponsors for various welfare projects.
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Last modified: 2018-01-13 18:57:05