Social Media Addiction and Empathy: Moderating impact of personality traits among high school students

Dalvi-Esfahani, Mohammad; Niknafs, Ali; Alaedini, Zohre; Ahmadabadi, Hajar Barati; Kuss, Daria J.; Ramayah, T.

doi:10.1016/j.tele.2020.101516

Cited by 47 publications

(27 citation statements)

References 123 publications

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“…Conscientiousness plays a major role in this matter (Whaite et al, 2018). Personality traits can also affect one's addiction and empathy towards social media even from a young age (Dalvi-Esfahani et al, 2021). Moreover, even though people might share the same personality traits, another vital factor that influences the use of social media is an individual's purpose of using such platforms, as people use social media for different reasons and goals (Hughes et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

The Impact of Personality Traits on Social Media Use and Engagement: An Overview

Λαμπρόπουλος

Anastasiadis

Siakas

et al. 2022

IJonSES

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Social media have become an integral part of everyday life and are used in numerous domains. Hence, it is essential to comprehend how and why users use and engage themselves in social media. Personality traits are patterns of thinking, feeling or behaving that could potentially affect an individual’s social media use. This paper aims at enhancing the understanding of the role that personality traits play in the psychological dynamics underlying social media use and engagement. Therefore, this paper conducts an extensive literature review regarding personality, trait theory and personality traits taxonomies and puts emphasis on Big Five Personality Traits – Five Factor Model (FFM). Furthermore, it presents a literature review of recent studies regarding the impact of personality traits on social media use and compares their results. Based on the findings, there is a close interconnection between social media use and engagement and personality traits with some traits affecting it more drastically. Openness and extraversion emerged as the two most significant positive predictors of social media use while conscientiousness, agreeableness and neuroticism were also considered important but at a lesser degree. Consequently, it was concluded that personality traits have an immense impact on social media use and engagement.

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Section: Discussionmentioning

confidence: 99%

The Impact of Personality Traits on Social Media Use and Engagement: An Overview

Λαμπρόπουλος

Anastasiadis

Siakas

et al. 2022

IJonSES

View full text Add to dashboard Cite

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“…Another important result of the study is the finding that prosocial behaviors reduce social media addiction in high school students (H 2 ). Some studies showed that there were short comings in social skills associated with social interactions and internet and social media addiction (Chua et al, 2020 ; Dalvi-Esfahani et al, 2021 ). While the effective use of the internet creates an opportunity for the adolescent, its excessive use may negatively affect the adolescent's physical, psychological, social and cognitive development (Hou et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Social Media Addiction in High School Students: A Cross-Sectional Study Examining Its Relationship with Sleep Quality and Psychological Problems

Sümen

Evgi̇n

2021

Child Ind Res

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The aim of this study was to examine the relationship of social media addiction with sleep quality and psychological problems in high school students. The study is a cross-sectional, correlational type. The study was conducted with 1,274 students receiving education in a district located in the western region of Turkey. For the collection of the data, a Descriptive Information Form, the Social Media Addiction Scale for Adolescents (SMASA), the Strengths and Difficulties Questionnaire (SDQ), the Sleep Quality Scale (SQS) and the Sleep Variables Questionnaire (SVQ) were used. Among the high school students who participated in the research, 49.3% stated that they had been using social media for 1–3 years, 53.9% reported that they spent 1–3 h per day on social media, and 42.8% stated that they placed their telephone under their pillow or beside their bed while sleeping. Students’ mean scores were 16.59 ± 6.79 (range: 9–45) for the SMASA, 16.54 ± 4.27 (range: 0–40) for total difficulties, and 14.18 ± 1.56 (range: 7–21) for the SQS, while their sleep efficiency value was 97.9%. According to the research model, difficulties experienced by high school students increase their social media addiction, while they decrease prosocial behaviours. Social media addiction in high school students decreases students’ sleep efficiency (p < 0.05). It is considered important to conduct further public health studies for children and adolescents related to the risks caused by the excessive use of technology, the consequences of social media addiction, measures to protect psychological health, sleep programmes and the importance of sleep quality.

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“…In fact, earlier studies (e.g. [4,11,16,18,24,25]) demonstrate that there is a strong correlation between user personalities and their online behavior on social media. Some examples of applications that can take advantage from the user personality information include recruitment systems, personal counseling systems, online marketing, personal recommendation systems, and bank credit scoring systems to name a few [5,12].…”

Section: Introductionmentioning

confidence: 99%

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

et al. 2021

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The ever-increasing social media users has dramatically contributed to significant growth as far as the volume of online information is concerned. Often, the contents that these users put in social media can give valuable insights on their personalities (e.g., in terms of predicting job satisfaction, specific preferences, as well as the success of professional and romantic relationship) and getting it without the hassle of taking formal personality test. Termed personality prediction, the process involves extracting the digital content into features and mapping it according to a personality model. Owing to its simplicity and proven capability, a well-known personality model, called the big five personality traits, has often been adopted in the literature as the de facto standard for personality assessment. To date, there are many algorithms that can be used to extract embedded contextualized word from textual data for personality prediction system; some of them are based on ensembled model and deep learning. Although useful, existing algorithms such as RNN and LSTM suffers from the following limitations. Firstly, these algorithms take a long time to train the model owing to its sequential inputs. Secondly, these algorithms also lack the ability to capture the true (semantic) meaning of words; therefore, the context is slightly lost. To address these aforementioned limitations, this paper introduces a new prediction using multi model deep learning architecture combined with multiple pre-trained language model such as BERT, RoBERTa, and XLNet as features extraction method on social media data sources. Finally, the system takes the decision based on model averaging to make prediction. Unlike earlier work which adopts a single social media data with open and close vocabulary extraction method, the proposed work uses multiple social media data sources namely Facebook and Twitter and produce a predictive model for each trait using bidirectional context feature combine with extraction method. Our experience with the proposed work has been encouraging as it has outperformed similar existing works in the literature. More precisely, our results achieve a maximum accuracy of 86.2% and 0.912 f1 measure score on the Facebook dataset; 88.5% accuracy and 0.882 f1 measure score on the Twitter dataset.

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Social Media Addiction and Empathy: Moderating impact of personality traits among high school students

Abstract: Telematics and Informatics (2020). In press.

Cited by 47 publications

References 123 publications

The Impact of Personality Traits on Social Media Use and Engagement: An Overview

The Impact of Personality Traits on Social Media Use and Engagement: An Overview

Social Media Addiction in High School Students: A Cross-Sectional Study Examining Its Relationship with Sleep Quality and Psychological Problems

Text based personality prediction from multiple social media data sources using pre-trained language model and model averaging

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