CyberPsycho Effect

Author(s):  
Manisha J. Nene ◽  
Prashant Gupta

The Internet has become a platform for different campaigns like political, social, cultural and marketing. Researchers are working on the effect of these services on human behavior and how the use of Internet and social network persuade the environment. This chapter focuses on the causes and effects of persuasive messages based on current trending news and events which can influence an individual's behavior. Cyberspace plus Psychological effect equals to CyberPsycho Effect leading to CyberPsycho attacks. In CyberPsycho attacks, an attacker uses cyberspace and social network to affect attitude or behavior of an individual or a targeted society, and achieve certain goals to attain political, religious, economical, and social gains. It motivates social media users towards a certain objective by spreading the persuasive messages in the form of texts, images or videos. The study is unique, valuable and compels the experts to understand the impact of Internet addiction.

Author(s):  
Manisha J. Nene ◽  
Prashant Gupta

The Internet has become a platform for different campaigns like political, social, cultural and marketing. Researchers are working on the effect of these services on human behavior and how the use of Internet and social network persuade the environment. This chapter focuses on the causes and effects of persuasive messages based on current trending news and events which can influence an individual's behavior. Cyberspace plus Psychological effect equals to CyberPsycho Effect leading to CyberPsycho attacks. In CyberPsycho attacks, an attacker uses cyberspace and social network to affect attitude or behavior of an individual or a targeted society, and achieve certain goals to attain political, religious, economical, and social gains. It motivates social media users towards a certain objective by spreading the persuasive messages in the form of texts, images or videos. The study is unique, valuable and compels the experts to understand the impact of Internet addiction.


2020 ◽  
Author(s):  
Neda Kianipour ◽  
Razie Toghroli ◽  
Jaffar Abbas ◽  
Manoj Sharma ◽  
Seyyed Amar Azizi ◽  
...  

Abstract Background: In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments.Methods: This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed 753 questionnaires among the respondents’ three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017-2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 24 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA).Results: The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84±2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29±0.73, 3.17±0.92, and 3.57±0.64 correspondingly. The survey results illustrated that medical students’ internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet (p<0.05).Conclusions: The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students’ healthy behavior.


Author(s):  
Morrant Hemans ◽  
Dickson Kofi Wiredu Ocansey

The stress in identifying useful information on the internet facilitated the use of recommendation systems by e-commerce and social network platforms to help users find their interested information quickly. However, this study seeks to investigate the impact of recommendation system overuse on the subjective wellbeing of internet users. The study reviewed previous studies in developing a research framework from the SOBC model that identifies social media overload as a (Situation) that triggers the intentions of internet users (Organism) to excessively use recommendation systems on the internet based on their level of self-concept clarity (Behavior) which (Consequently) affect their subjective wellbeing. SmartPLS 3.0 and SPSS v.22 software were deployed to analyze the research data and discover links between the constructs. The obtained results of the study confirm that, overuse of online recommendation systems negatively affect users’ subjective wellbeing.


Author(s):  
Habibolah Khazaie ◽  
Javad Yoosefi Lebni ◽  
Jaffar Abbas ◽  
Behzad Mahaki ◽  
Fakhreddin Chaboksavar ◽  
...  

Background In recent years, Internet and social media technology use have emerged as an integral tool of human society, and the evolution of technological integration, cyberspace, and web-technology has become a common practice in educational institutions. Internet usage among students has played an indispensable role in learning behavior; however, the excessive usage of the internet and social media leads to internet addiction. This original study has performed a focalized scrutiny on revealing relationships between internet addiction and associated factors among the students of medicine, dentistry, and pharmaceutical departments. Methods This descriptive and analytical study recruited medical students from the Self-governing Education Incubator of Kermanshah. This survey distributed questionnaires among the respondents’ three departments, and this statistical data reported on 420 valid responses of the respondents. They represent first and second-semester medical students of the academic year 2017–2018. The study selected medical students by applying Cochran's Sample Size Formula through Stratified Random Sampling and cross-sectional research design. The survey has utilized a demographic questionnaire of Young's Internet Addiction Test (IAT) for the data collection. The study analyzed received data by using SPSS version 23 and performed the descriptive statistics, and analytical statistics (t-test and ANOVA). Results The results of the present study established that the majority of subjects were female students (53.3%), and the average age was 23.84 ± 2.14, including the students of all departments. Besides, findings specified that the overall mean and standard deviation scores were 3.34 and ±0.88. Internet addiction revealed mean and the standard deviation score measured for all students 3.29 ± 0.73, 3.17 ± 0.92, and 3.57 ± 0.64 correspondingly. The survey results illustrated that medical students’ internet addiction substantially correlated with demographic variables, such as age, marital status, the field of study, academic term, significant time of consuming the internet, the key reason of utilizing the internet, and daily usage of the internet ( p < .05). Conclusion The results of the study specified that 25% of medical students showed internet addiction. The students are increasingly using the internet, and it has penetrated among students. The design and implementation of adequate educational programs and the application of internet-based efficiency interventions are essential for both knowledge acquisition and medical students’ healthy behavior.


2020 ◽  
Vol 34 (10) ◽  
pp. 13971-13972
Author(s):  
Yang Qi ◽  
Farseev Aleksandr ◽  
Filchenkov Andrey

Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction giving a raise of multiple new social network types emergence. By participating in such networks, individuals generate a multitude of data points that describe their activities from different perspectives and, for example, can be further used for applications such as personalized recommendation or user profiling. However, the impact of the different social media networks on machine learning model performance has not been studied comprehensively yet. Particularly, the literature on modeling multi-modal data from multiple social networks is relatively sparse, which had inspired us to take a deeper dive into the topic in this preliminary study. Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks. Our initial experimental results reveal that social network choice impacts the performance and the proper selection of data source is crucial.


2016 ◽  
Vol 3 (1) ◽  
pp. 23-33
Author(s):  
Stevent Efendi ◽  
Alva Erwin ◽  
Kho I Eng

Social media has been a widespread phenomenon in the recent years. People shared a lot of thought in social media, and these data posted on the internet could be used for study and researches. As one of the fastest growing social network, Twitter is a particularly popular social media to be studied because it allows researchers to access their data. This research will look the correlation between Twitter chatter of a brand and the sales of brands in Indonesia. Factors such as sentiment and tweet rate are expected to be able to predict the popularity of a brand. Being one of the biggest industries in Indonesia, automotive industry is an interesting subject to study. A wide range of people buys vehicles, and even gather as communities based on their car or motorcycle brand preference. The Twitter results of sentiment analysis and tweet rate will be compared with real world sales results published by GAIKINDO and AISI.


2021 ◽  
Vol 13 (2) ◽  
pp. 20
Author(s):  
Evelina Francisco ◽  
Nadira Fardos ◽  
Aakash Bhatt ◽  
Gulhan Bizel

The COVID-19 pandemic and the resulting stay-at-home orders have disrupted all aspects of life globally, most notably our relationship with the internet and social media platforms. People are online more than ever before, working and attending school from home and socializing with friends and family via video conferencing. Marketers and brands have been forced to adapt to a new normal and, as a result, have shifted their brand communication and marketing mix to digital approaches. Hence, this study aims to examine the shift of influencer marketing on Instagram during this period and the possible future implications. By employing an online survey for exploratory research, individuals answered questions addressing their perceptions about the impact of the pandemic, brands and influencers&rsquo; relationship, and the overall changes made in marketing strategy.


2021 ◽  
Author(s):  
Jennifer Donath

The purpose of this project was to explore how young adults are experiencing relationships when using social media. Using a qualitative design young adults between the ages of 16-25 were asked questions about their experience with social media in the city of Toronto. Qualitative interviews were conducted with three homeless participants who used social media and had access to the internet and a mobile device. The researcher analyzed the data by looking for themes within the participant’s answers. Discussion focuses on the impact of social media, their experiences as a homeless youth and the interaction with social media on a daily basis. The findings also suggest future research for technology amongst homeless youth


Author(s):  
Katherina Nikzad-Terhune ◽  
Keith A. Anderson ◽  
Lori La Bey

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