London Journal of Social Sciences

The Role of Sociovirtualization in Building Resilient Online Communities

Ibrahim Kurt — Sat, 03 May 2025 00:00:00 +0000

With the development of digital technologies and social media platforms, the idea of sociovirtualization—which incorporates social interactions within virtual environments—has become more well-known. This study looks at how sociovirtualization contributes to the development of resilient online networks, especially in the wake of major world disasters like the COVID-19 pandemic. The study synthesizes existing research on social media use in crisis situations and community resilience by completing a thorough literature analysis. With an emphasis on important mechanisms including knowledge sharing, social support, and community participation, it examines how virtual social interactions foster community resilience. The results show that the use of social media is positively correlated with the perception of community resilience, and that virtual contacts are essential for preserving social ties and offering emotional support. The paper makes recommendations for future research paths on the long-term effects of sociovirtualization and emphasizes the significance of utilizing digital technologies to improve community resilience.

AI discrimination trap? - Recommendations for combating discrimination against women through AI

Christina Schabasser — Sat, 03 May 2025 00:00:00 +0000

The current overrepresentation of men in the development of AI technologies and the associated one-sided gender perspective is one of the reasons for discrimination against women in AI applications. In this context, AI exacerbates such overrepresentation, thus presenting a new discriminatory risk against women. Today´s omnipresence of AI makes the need for fair algorithms even more crucial. Thus, this study analyzes five application areas of AI (i.e. virtual private assistance, public and private transport and safety, precision medicine, employment area, and credit rating) and discusses potential biases against women identified and proposes anti-discrimination suggestions to overcome this kind of invisibility of women in many AI applications.

The Role of Mathematics in Economics: Necessity or Contradiction?

Cihan Bulut — Sat, 03 May 2025 00:00:00 +0000

This study addresses the relationship between economics and mathematics, drawing attention to the fact that although economics is a social science, mathematics plays an important role in understanding economic processes. Due to the complexity of human behavior, it isn't easy to achieve mathematical precision in economics. However, thanks to mathematical tools such as econometrics and modeling, it is possible to plan, predict, and analyze the relationships between economic variables. Therefore, using of mathematics in economics is necessary. It is stated that correlations should be understood in understanding the relationships between economic activities and the extent of the relationships. The development of regression models is emphasized in predicting future trends and supporting decision-making processes. However, the difficulties economists face when using advanced mathematical techniques are mentioned. Despite some of the difficulties, risk, and uncertainty conditions mentioned, it is emphasized that mathematical or econometric analyses continue to be important for planning and making consistent estimates and that some conveniences have been experienced with technological developments. As a result, it is stated that a balanced approach is needed in using mathematical tools in economics. In other words, it is stated that models, which are merely tools rather than goals for economic analysis, have limitations and that it is desired to benefit from the prediction and consistency of these tools. Additionally, it is suggested that future education should both update and follow the analysis tools offered by technology and place more emphasis on mathematical and econometric knowledge to develop the ability to better predict uncertainties.

The role of teacher-child relationships in predicting first graders' school

Mahmut Bestami ADIKUTLU — Sat, 03 May 2025 00:00:00 +0000

The teacher-child relationship is critical in children's social, emotional, and academic development, directly influencing their school adjustment during early primary education. This study aimed to examine the predictive effect of teacher-child relationship quality on the school adjustment levels of first-grade students. During the 2023-2024 academic year, the study utilized a survey design in primary schools affiliated with the Ministry of National Education in Kirkuk. The sample comprised 100 students aged 6-7 years (52% girls, 48% boys) and 10 female teachers. Data were collected using a Personal Information Form, the Student-Teacher Relationship Scale, and the School Adjustment Scale for Primary School Students. Findings indicated that the closeness and conflict dimensions of the teacher-child relationship significantly predicted students’ school adjustment levels. However, the dependency dimension of the relationship did not have a statistically significant effect on school adjustment. These results underscore the supportive role of closeness and conflict in facilitating school adjustment, while dependency neither contributes to nor hinders the adjustment process. The findings highlight the importance of fostering positive teacher-child relationships to support children's transition and adaptation during early primary education.

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Urban evolution: streamlining development for convenience and affordability

Arsha Sheikhi — Sat, 03 May 2025 00:00:00 +0000

Throughout North America, though especially in The U.S. and Canada, modern sprawl has grown in cities with inefficient land usage and convenience leading to several harmful factors regarding the human body and efficiency. Many millions of Americans are increasingly living in suburbia, so an emergence of inefficiency and non-homeliness has developed. This article details what actions may be taken to convert the modern sprawling American city into what is known as a 15-minute city (FMC) affordably and efficiently. It regards factors such as the expansion of transportation, removal of extraneous roads, newer urban and suburban developments featuring mixed-use zoning, and access to local amenities and businesses for a transformation. Note each city is unique depending on geography and climate and will require a unique method of transforming it into a compact and efficient environment in multiple aspects.

Consequences of AI in the workforce: How AI is taking our Jobs

Cevdet Bayar, Jeric Panugaling, Abbas Lotf, Emin Arslan — Sat, 03 May 2025 00:00:00 +0000

Although artificial intelligence is helping solve many problems in today's world, it is also the reason many people around the world are losing their jobs. AI has the ability to replace or reduce many jobs now and in the future due to the rapidity of its growth. Types of jobs that could be harmed include white collar professions, unlike the blue collar careers that were reduced due to previous technological advancements. The advances in AI have mostly targeted jobs relating to digital art, content creation, and programming, meaning that these careers are most likely to see a reduction due to the growing use of AI. This article aims to review how AI has evolved throughout the years and the consequences it has on the economy as a whole. By taking a look at how AI replaces jobs, we can provide insight on how we can prepare for an increase in the use of AI.

Comparative Recognition Analysis of Image Accuracy: A Study of OpenAI and Gemini in Matching Original Visuals

Batyr Omurkulov, Dovran Ylhamov, Merve Gokgol — Sat, 03 May 2025 00:00:00 +0000

It is critical for developers and users to comprehend the capabilities of various models in the quickly developing field of image generation. By comparing the image output quality of Gemini and OpenAI, this study seeks to shed light on their relative advantages. We can learn more about how each model interprets visual data by concentrating on features like object recognition, color fidelity, and detail resolution. In the end, this study adds to the larger conversation about the efficiency of machine learning methods in producing superior visual content. This study compares the quality of images generated by Gemini and Open AI, focusing on how closely these images match the original ones. Both Gemini and OpenAI use advanced machine learning models to transform visual images, but they do so using different methods and data. The comparison examines key factors such as color accuracy, detail, and how well each model recognizes objects and scenes. The results show that Gemini tends to produce images with more accurate colors and fine details, while Open AI is better at understanding and interpreting a wider range of descriptions. This highlights the strengths and weaknesses of each model in producing high-quality images.