Skip to main content

Social Media Usage and Its Addiction Level among Generation Y Agricultural Scholars in Meghalaya, India | Chapter 02 | Current Perspective to Economics and Management Vol. 3

This study examined Generation Y’s psychological addiction to social media with specific regard to Research Gate, Facebook, YouTube, WhatsApp and Twitter. The addiction was deduced using Griffiths’ five components that govern behavioral addiction: tolerance, salience, withdrawal, conflict and relapse. The tenacity of this study was to clinch if Generation Y agricultural scholars’ was in fact addicted to social media because of their necessity to sustain their connections with peers. The study reveals that Research Gate was the most widely used social media (95.00 per cent). About ninety four per cent (93.75 per cent) of the respondents primarily used social media for downloading study materials. Eighty eight per cent of the respondents had more than five social media account. 76.25 per cent of the respondents spend more than 3 hour on social media. About seventy three per cent (72.50 per cent) of the respondents spend two hour on social media for agriculturally related issues. The major advantages of using social media is “exposure to latest knowledge, skills and technology in research endeavors” followed by “gaining more visibility in research areas” as reported by 95.00 per cent and 93.75 per cent of the respondents respectively. 68.75 per cent and 7.50 per cent of the respondents reported high addiction and low addiction on social media, respectively. The results indicated that Generation-Y agricultural scholars faced constraints towards tolerance, salience, withdrawal and relapse. However, they face intrapsychic conflict, but not interpersonal conflict. Major problem associated with social media in dissemination of information is “costly data charge for high speed internet connectivity” (91.25 percent) being followed by “erratic internet connectivity in the campus” (90.00 per cent).

Author(s) Details

Bai Koyu
School of Social Sciences, College of Post Graduate Studies, Central Agricultural University, Meghalaya, 793 103, India.

Rajkumar Josmee Singh
School of Social Sciences, College of Post Graduate Studies, Central Agricultural University, Meghalaya, 793 103, India.

Kankabati Kalai
Department of Extension Education, College of Agriculture, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh, 492 012, India.

Talom Dabi
School of Crop Improvement, College of Post Graduate Studies, Central Agricultural University, Meghalaya, 793 103, India.

Tanmoy Das
School of Crop Protection, College of Post Graduate Studies, Central Agricultural University, Meghalaya, 793 103, India.

Labels:

Comments

Post a Comment

Popular posts from this blog

Use of the Arrhenius Equation in Kinetic Analyses and Mathematical Modeling of Rate Data Requires the Most Precise, Even Scrupulous, Application and Term Definitions | Chapter 6 | Theory and Applications of Chemistry Vol. 2

This article presents a critical analysis of the frequent practice of using the Arrhenius equation for mathematical modeling of very many physical and chemical rate processes. This approach may also be used to characterize the controls and mechanisms of the rate processes investigated. We also discuss  the  specific  form  of  the Arrhenius-type  equation  as  a  relationship  meriting  detailed investigations. In our opinion, the use of the Arrhenius relationship often can only approximate to the behavior of such systems, exemplified by the systems discussed below, including the work of N N Semenov, A K Galwey, A G Mershanov, etc. We draw attention to "erroneous" experimental designs, including the so-called "global kinetic mechanism" and other widespread uses of theoretical models which do not necessarily represent the real situation. Such limitations in rate data analyses impact negatively throughout this branch of science. Here we attempt to question these ac
Post a Comment
Read more

A Brief Study of Middleware Technologies: Programming Applications and Management Systems | Chapter 15 | Novel Research Aspects in Mathematical and Computer Science Vol. 1

  Many platforms, services, applications, hardware, and operating systems are connected through the middleware layer. Because the middleware layer abstracts much low-level complexity and makes applications and software systems portable, it allows disparate systems to interface and function together in harmony. Middleware technologies enable software engineers to swiftly construct software systems and applications, allowing developers to focus on more important tasks. This chapter examines several types of middleware systems and discusses middleware capabilities, middleware operation, middleware's function in cloud-based systems, and the best middleware platforms to use. Middleware systems are widely utilised and can be found in practically any software system or application. Middleware programmes provide as a link between many sorts of systems and protocols. They serve as a mechanism for various systems. To successfully exchange information, it runs on a variety of operating system
Post a Comment
Read more

A Facility-based Assessment of Internalized Stigma among Patients with Severe Mental Illnesses in Maiduguri, North-Eastern Nigeria | Chapter 05 | Emerging Research in Medical Sciences Vol. 3

Introduction: Public stigmatization of mental illnesses might lead to the internalization of the stigma by persons with mental illness (PWMIs) which might also lead to erosion of self-esteem and negative consequences on treatment outcome. This study assessed the prevalence of internalized stigma and analyzed its socio-demographic and clinical predictors among PWMIs in a sub-Saharan African mental health facility. Methods: Patients with schizophrenia, bipolar disorder and severe depression (n = 370) were randomly interviewed at the out-patient department of the Federal Neuropsychiatric Hospital, Maiduguri. They completed the sociodemographic and clinical proformata, Oslo social support scale, and an adapted version of the internalized stigma of mental illness scale (ISMI). Results: A total of 83 subjects (22.5%) met the study's criterion score for high internalized stigma. The independent predictors of high internalized stigma were; poor social support (Odds ratio, OR =
Post a Comment
Read more