Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries

View through CrossRef
Social media serves as a platform for sharing information and connecting with others on various subjects, including healthcare and drugs. Analyzing drug sentiment from various social media like Twitter, reddit, quora etc are crucial for monitoring drug safety, identifying adverse reactions, and providing an early warning system for potential safety concerns, benefiting healthcare organizations and governments. This paper aims to study the opinions of people from all over the world by analyzing their messages, posts on social media. For this study 39,069 drug related message corpus were fetched making a comparison between the high income countries, and middle income and low income countries on the basis of drug consumption from 2021 to 2023. The dataset used for the study consisted of 41.63% text-corpus from high income countries out of which on an average from 2021 to 2023, 40.2% was found to have a positive sentiment. Whereas 34.65% of text-corpus are from middle-income countries out of which on an average 26.4% of was of a positive sentiment and 23.70% text-corpus are from low income countries with 23.6% having a positive sentiment. Furthermore, the primary factor for having such differences from people’s sentiment on drug consumption from high to low income countries includes Cultural and Social Norms, Legalization, availability etc therefore, In high-income countries, drug use is more socially accepted than in other regions. This proposed study gives an insight into people’s opinion on various drugs from different countries and regions. The results of this study attempted to understand how the public is responding to different types of information and to identify potential misinformation which can be used to formulate policies for existing and future drug prevention campaigns in order to improve public health and promote public education.
Title: A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries
Description:
Social media serves as a platform for sharing information and connecting with others on various subjects, including healthcare and drugs.
Analyzing drug sentiment from various social media like Twitter, reddit, quora etc are crucial for monitoring drug safety, identifying adverse reactions, and providing an early warning system for potential safety concerns, benefiting healthcare organizations and governments.
This paper aims to study the opinions of people from all over the world by analyzing their messages, posts on social media.
For this study 39,069 drug related message corpus were fetched making a comparison between the high income countries, and middle income and low income countries on the basis of drug consumption from 2021 to 2023.
The dataset used for the study consisted of 41.
63% text-corpus from high income countries out of which on an average from 2021 to 2023, 40.
2% was found to have a positive sentiment.
Whereas 34.
65% of text-corpus are from middle-income countries out of which on an average 26.
4% of was of a positive sentiment and 23.
70% text-corpus are from low income countries with 23.
6% having a positive sentiment.
Furthermore, the primary factor for having such differences from people’s sentiment on drug consumption from high to low income countries includes Cultural and Social Norms, Legalization, availability etc therefore, In high-income countries, drug use is more socially accepted than in other regions.
This proposed study gives an insight into people’s opinion on various drugs from different countries and regions.
The results of this study attempted to understand how the public is responding to different types of information and to identify potential misinformation which can be used to formulate policies for existing and future drug prevention campaigns in order to improve public health and promote public education.

Related Results

Sentiment Analysis with Python: A Hands-on Approach
Sentiment Analysis with Python: A Hands-on Approach
Sentiment Analysis is a rapidly growing field in Natural Language Processing (NLP) that aims to extract opinions, emotions, and attitudes expressed in text. It has a wide range o...
DAMPAK TEKNOLOGI TERHADAP PROSES BELAJAR MENGAJAR
DAMPAK TEKNOLOGI TERHADAP PROSES BELAJAR MENGAJAR
DAFTAR PUSTAKAAditama, M. H. R., & Selfiardy, S. (2022). Kehidupan Mahasiswa Kuliah Sambil Bekerja di Masa Pandemi Covid-19. Kidspedia: Jurnal Pendidikan Anak Usia Dini, 3(...
Changes in treatment for multidrug-resistant tuberculosis according to national income
Changes in treatment for multidrug-resistant tuberculosis according to national income
The aim of this study was to analyse temporal changes in treatments for and outcomes of multidrug-resistant (MDR)/rifampin-resistant (RR)-tuberculosis (TB) in the context of nation...
Sentiment analysis of social media data: Business insights and consumer behavior trends in the USA
Sentiment analysis of social media data: Business insights and consumer behavior trends in the USA
The digital age has reformed how organizations in the USA reach out to their consumers and has opened up more avenues for understanding consumer sentiment and behavior.  This resea...
Relative affordability of heated tobacco products and cigarettes: a cross- country comparative analysis of 55 countries
Relative affordability of heated tobacco products and cigarettes: a cross- country comparative analysis of 55 countries
Abstract Background Since their introduction in 2014, heated tobacco products (HTPs) have entered a growing number of national markets. Despite this expansion, few studies ...
Econometric Model for Identifying Factors of Income Differentiation of the Population
Econometric Model for Identifying Factors of Income Differentiation of the Population
Purpose of the study. On the basis of the construction of a multifactorial econometric model, it is necessary to identify the factors of income differentiation of the population. I...
Analysis of the impact of information communication technology on economic growth: empirical evidence from Asian countries
Analysis of the impact of information communication technology on economic growth: empirical evidence from Asian countries
PurposeThis study examines the causal relationship between information communication technology (ICT) and economic growth in high-income and middle-income Asian countries.Design/me...
Analysing Market Sentiment to Identify Trends and Opportunities
Analysing Market Sentiment to Identify Trends and Opportunities
Market sentiment has emerged as a vital factor in understanding financial market behavior, particularly in identifying emerging trends and investment opportunities. In recent years...

Back to Top