Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing

Abstract

The governments, nowadays, throughout the world are increasingly becoming dependent on public opinion regarding the framing and implementation of certain policies for the welfare of the general public. The role of social media is vital to this emerging trend. Traditionally, lack of public participation in various policy making decision used to be a major cause of concern particularly when formulating and evaluating such policies. However, the exponential rise in usage of social media platforms by general public has given the government a wider insight to overcome this long pending dilemma. Cloud-based e-governance is currently being realized due to IT infrastructure availability along with mindset changes of government advisors towards realizing the various policies in a best possible manner. This paper presents a pragmatic approach that combines the capabilities of both cloud computing and social media analytics towards efficient monitoring and controlling of governmental policies through public involvement. The proposed system has provided us some encouraging results, when tested for Goods and Services Tax (GST) implementation by Indian government and established that it can be successfully implemented for efficient policy making and implementation.

Profiling Online Social Network Platforms: Twitter vs. Instagram

“…Recently, due to the broad adoption of mobile platforms, OSN represents an increasingly up-to-date digital reflection of society. It supports people in interacting with places around the city, with other people, and businesses, while talking about topics of common interest, such as sentiments, political beliefs, social interactions, human mobility, presence in specific events, likes [47].…”

Social Media for Scholarly Communication in Central Asia and Its Neighbouring Countries

“…In such transformative times, most countries around the world have rather lenient rules when it comes to social media use. 6 10 However, due to the lack of supervision, the information on the Internet especially that information being circulated on SMPs has the tendency to be inaccurate and biased. 11 Therefore, it is wearisome to find authentic and dependable data from a single source.…”

Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets

“…Several breaking news is reported to first appeared on Twitter before being circulated through traditional news media (Singh et al 2019a). Twitter data has been effectively used in disaster management (Singh et al 2019a;Kumar et al 2017;Kumar and Singh 2019;Kumar et al 2020;Abedin and Babar 2018;Ghosh et al 2018), location prediction (Kumar and Singh 2019), and customer relationship management (Kapoor et al 2018;Kizgin et al 2018;Baabdullah et al 2018;Shareef et al 2019), antisocial activities tracking (Oh et al 2011), government policies monitoring (Singh et al 2019c), traffic monitoring (Vallejos et al 2020) to name a few.…”