The effectiveness of a counseling program based on psychosocial support to raise the level of economic empowerment among refugees

Al-Shraifin, Ahmad; Arabyat, Rand; Shatnawi, Amani; AlSobeh, Anas M. R.; Bahr, Noor

doi:10.1007/s12144-023-04405-7

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…The research results show that there is a statistically significant difference between the experimental group and the control group in the average value of the economic empowerment scale in the post-test, which favors the experimental group. In addition, there was no statistically significant difference between the averages of the two post-and sequential measurements in measuring economic empowerment, which reflects the reliability of the impact of psychosocial support-based counseling programs (Al-Shraifin et al, 2023).…”

Section: Introductionmentioning

confidence: 86%

Toxic relationship in youth communication through self-love intervention strategy

Praptiningsih,

Mulyono,

Setiawan

2024

ONLINE J COMMUN MEDIA TECHNOL

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This study set out to identify and analyze toxic relationships in interpersonal communication among adolescents. The toxic relationship, as an unhealthy relationship, does have an impact on the occurrence of internal conflicts. Such relationships often cause the people involved to encounter unproductiveness and mental disorders, which can trigger an emotional outburst that leads to violence. A qualitative approach was used as the research method. The data collection techniques comprised FGD, observation, and in-depth interviews with informants/participants as primary data. The study findings show that first, the perpetrators of toxic relationships, namely toxic people, could be those closest to the victims, such as the nuclear family (father, mother, and siblings). In addition, the perpetrator could be a lover in an unhealthy romantic relationship or peers and even friends who often do the bullying via verbal, physical, or even sexual violence. Second, toxic relationships can be categorized into several forms, namely unhealthy relationships with friends (‘toxic friendship’), parents/family (‘toxic parenting’), lovers, and cheating parents, which can affect a child’s mentality. Actions necessary include the raising of awareness and concern for the community. If violent behavior occurs, it is not permissible to act permissive. The individual approach carried out during victim assistance can entail consultations in the form of ‘vent sessions’. A powerful way to anticipate being trapped in an unhealthy relationship is via self-love. Counselling is carried out with a self-healing approach to restore victims’ self-confidence and maintain their mental health.

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Section: Introductionmentioning

confidence: 86%

Toxic relationship in youth communication through self-love intervention strategy

Praptiningsih,

Mulyono,

Setiawan

2024

ONLINE J COMMUN MEDIA TECHNOL

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“…We experimented with various classifiers to determine the optimal approach. The models investigated include support vector machines (SVM) (Dangeti, 2017), random forests (Dangeti, 2017), k-nearest neighbors (KNN) (JavaTpoint, n.d.b), XGBoost (Wang et al, 2019), and feedforward neural networks (Al-Shraifin et al, 2023). These were selected based on their documented capabilities in text classification tasks, and they were proven to be effective in classification tasks, ability to manage high-dimensional data, and robustness against overfitting (Alshattnawi et al, 2022;Karajeh et al, 2021).…”

Section: Comparative Experimentsmentioning

confidence: 99%

“…This literature review synthesizes key developments in the field, focusing on the intersection of NLP, LLMs, and mental health classification. -Shraifin et al (2023) used innovative methodologies to explore mental health among, perhaps Syrian, refugees in Jordan. Their findings showed that a psychosocial support program implemented to enhance family empowerment brought about statistically significant improvements among the experimental group.…”

Section: Literature Reviewmentioning

confidence: 99%

Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis

Radwan,

Amarneh,

Alawneh

et al. 2024

International Journal of Web Services Research

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The prevalence of stress-related disorders has increased significantly in recent years, necessitating scalable methods to identify affected individuals. This paper proposes a novel approach utilizing large language models (LLMs), with a focus on OpenAI's generative pre-trained transformer (GPT-3) embeddings and machine learning (ML) algorithms to classify social media posts as indicative or not of stress disorders. The aim is to create a preliminary screening tool leveraging online textual data. GPT-3 embeddings transformed posts into vector representations capturing semantic meaning and linguistic nuances. Various models, including support vector machines, random forests, XGBoost, KNN, and neural networks, were trained on a dataset of >10,000 labeled social media posts. The top model, a support vector machine, achieved 83% accuracy in classifying posts displaying signs of stress.

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Impact of IoT Technology and Social Networking Sites on Mothers, Teachers, and Children with Autism Spectrum Disorder in Jordan

Al-Sarayrah,

Abo-Zaitoon,

Aldosary

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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The effectiveness of a counseling program based on psychosocial support to raise the level of economic empowerment among refugees

Cited by 3 publications

References 18 publications

Toxic relationship in youth communication through self-love intervention strategy

Toxic relationship in youth communication through self-love intervention strategy

Predictive Analytics in Mental Health Leveraging LLM Embeddings and Machine Learning Models for Social Media Analysis

Impact of IoT Technology and Social Networking Sites on Mothers, Teachers, and Children with Autism Spectrum Disorder in Jordan

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