Influence of Privacy Fatigue of Social Media Users on Their Privacy Protection Disengagement Behaviour—A PSM based Analysis

Author(s):  
Xiaojuan Zhang ◽  
Xinluan Tian ◽  
Yuxin Han

This paper aims to examine the net effect of privacy fatigue of social media users on privacy protection disengagement behaviour, which is helpful to address the users’ privacy issue in the new stage of social media digitalization. Applying the Propensity Score Matching(PSM) methodology, the authors conduct the data analysis of 1,734 samples of social media users and eliminates the selectivity error caused by individual characteristic variables so as to improve the prediction accuracy of variable causality. Their research not only validates the causal relationship between privacy fatigue and privacy protection disengagement, proving that privacy fatigue can directly lead to privacy protection disengagement behaviour but also reveals that the individual characteristic variables have heterogeneous effects on the influence of privacy fatigue on protection disengagement behaviour.

Author(s):  
Gurpreet Singh Bawa ◽  
Suresh Kumar Sharma ◽  
Kanchan K. Jain

For mood State and Behavior Predictions in Social Media through Unstructured Data Analysis, a new model, Behavior Dirichlet Probability Model (BDPM), which can capture the Behavior and Mood of user on Social media is proposed using Dirichlet distribution. There is a colossal amount of data being generated regularly on social media in the form of text from various channels by individuals in the form of posts, tweets, status, comments, blogs, reviews etc. Most of it belongs to some conversation where real-world individuals discuss, analyze, comment, exchange information. Deriving personality traits from textual data can be useful in observing the underlying attributes of the author’s personality which might explain a lot about their behavior, traits etc. These insights of the individual can be utilized to obtain a clear picture of their personality and accordingly a variety of services, utilities would follow automatically. Using Dirichlet probability distribution, the aim is to estimate the probability of each personality trait (or mood state) for an author and then model the latent features in the text which are not captured by the BDPM. As a result, the study can be helpful in prediction of mood state/personality trait as well as capturing the significance of the latent features apart from the ones present in the taxonomies, which will help in making an improved mood state or personality prediction.


Law and World ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 19-26

Sharing child’s visual materials online for purely personal purposes by parents, family members or close relatives is a widespread practice, especially, where the availability of internet services is provided, which therefore, poses challenges to privacy protection of the child. Children, as one of the most vulnerable members of society, need special attention with regard of protection of fundamental rights, where privacy a crucial one. This article reviews the implications of child’s privacy on social media with the emphasis on sharing minor’s visual materials.


2017 ◽  
Vol 14 (2) ◽  
pp. 139-145
Author(s):  
Yudha Pradana

This research is used quantitative approach and descriptive method. Instrument used by the research is skala Survey of Study Habits and Attitudes questionnaire to describing media social using by students and Likert Scale questionnaire to describing student’s political literacy. Data analysis using Rank Spearman Order.The result show that social media used by students 48% good, 26% fair, and 15% poor. Student’s political literacy are 36% good, 43% fair, and 21% poor. The role of social media in the development of student's political literacy is 54,79% affected by social media, and 45,21% affected by other factors.


Author(s):  
Piotr Szamrowski ◽  
Adam Pawlewicz

The main objective of this paper is to identify the platforms and social media tools utilized by the brewing industry in communication with the stakeholders, mainly with potential clients. In addition, the study sought to determine the nature of the published content, identify those responsible for their management, and present the advantages and disadvantages of their conduct in communication and creating the image of the company. The results indicate that only 25% of the surveyed companies do not use social media in PR. This applies only to small enterprises, with regional character. All the major brewing companies in their public relations activities use at least one type of social media, focusing in most cases on social networking (Facebook) and Video Sharing (YouTube). In addition, some of the largest brands included in the individual equity groups have their own social media channels used to communicate with the stakeholders. General promotion of company products and, what is very important, creating a dialogue with social media platform community, were seen as the most important benefits of using social media.


Author(s):  
Saheb Foroutaifar

AbstractThe main objectives of this study were to compare the prediction accuracy of different Bayesian methods for traits with a wide range of genetic architecture using simulation and real data and to assess the sensitivity of these methods to the violation of their assumptions. For the simulation study, different scenarios were implemented based on two traits with low or high heritability and different numbers of QTL and the distribution of their effects. For real data analysis, a German Holstein dataset for milk fat percentage, milk yield, and somatic cell score was used. The simulation results showed that, with the exception of the Bayes R, the other methods were sensitive to changes in the number of QTLs and distribution of QTL effects. Having a distribution of QTL effects, similar to what different Bayesian methods assume for estimating marker effects, did not improve their prediction accuracy. The Bayes B method gave higher or equal accuracy rather than the rest. The real data analysis showed that similar to scenarios with a large number of QTLs in the simulation, there was no difference between the accuracies of the different methods for any of the traits.


2021 ◽  
pp. 016344372110158
Author(s):  
Opeyemi Akanbi

Moving beyond the current focus on the individual as the unit of analysis in the privacy paradox, this article examines the misalignment between privacy attitudes and online behaviors at the level of society as a collective. I draw on Facebook’s market performance to show how despite concerns about privacy, market structures drive user, advertiser and investor behaviors to continue to reward corporate owners of social media platforms. In this market-oriented analysis, I introduce the metaphor of elasticity to capture the responsiveness of demand for social media to the data (price) charged by social media companies. Overall, this article positions social media as inelastic, relative to privacy costs; highlights the role of the social collective in the privacy crises; and ultimately underscores the need for structural interventions in addressing privacy risks.


Author(s):  
Sebastiaan A. Pronk ◽  
Simone L. Gorter ◽  
Scheltus J. van Luijk ◽  
Pieter C. Barnhoorn ◽  
Beer Binkhorst ◽  
...  

Abstract Introduction Behaviour is visible in real-life events, but also on social media. While some national medical organizations have published social media guidelines, the number of studies on professional social media use in medical education is limited. This study aims to explore social media use among medical students, residents and medical specialists. Methods An anonymous, online survey was sent to 3844 medical students at two Dutch medical schools, 828 residents and 426 medical specialists. Quantitative, descriptive data analysis regarding demographic data, yes/no questions and Likert scale questions were performed using SPSS. Qualitative data analysis was performed iteratively, independently by two researchers applying the principles of constant comparison, open and axial coding until consensus was reached. Results Overall response rate was 24.8%. Facebook was most popular among medical students and residents; LinkedIn was most popular among medical specialists. Personal pictures and/or information about themselves on social media that were perceived as unprofessional were reported by 31.3% of students, 19.7% of residents and 4.1% of medical specialists. Information and pictures related to alcohol abuse, partying, clinical work or of a sexually suggestive character were considered inappropriate. Addressing colleagues about their unprofessional posts was perceived to be mainly dependent on the nature and hierarchy of the interprofessional relation. Discussion There is a widespread perception that the presence of unprofessional information on social media among the participants and their colleagues is a common occurrence. Medical educators should create awareness of the risks of unprofessional (online) behaviour among healthcare professionals, as well as the necessity and ways of addressing colleagues in case of such lapses.


2016 ◽  
Vol 34 (2) ◽  
pp. 139-147 ◽  
Author(s):  
Chunmei Gan

The purpose of this paper is to examine the general and specific gratifications that drive users’ choice of different social media. Sina Weibo and WeChat in China were selected for the current study. Two separate empirical surveys were conducted and 368 valid data were collected from Chinese university students experienced in using Sina Weibo or WeChat. Exploratory factor analysis, paired t test and independent-samples t test were employed for data analysis. The results identify four general gratifications for using different social media: hedonic gratification, affection gratification, information gratification and social gratification. In addition, factor structure of information gratification is different for different social media. Furthermore, the strength of each gratification differs to varying degrees across the use of different social media. Information gratification plays the most salient role in using Sina Weibo, whereas affection gratification is the most important motive for the use of WeChat. Also, the use of Sina Weibo can better fulfill individuals’ information and hedonic gratifications, while individuals prefer to use WeChat for achieving gratifications of social and affection.


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