International Journal of New Trends in Social Sciences

The dynamics of linguistic landscapes and legal frameworks in forming cultural identities and societal structures

Zahra Sadat Roozafzai — 2025-12-30

This study investigates the significance of linguistic landscapes in relation to media, art, and legal frameworks as central forces in shaping societal structures and cultural identities. Linguistic landscapes, understood as the visible presence of language in public spaces, play a critical role in reflecting and constructing social meaning. Despite growing scholarship in each of these domains, existing research has largely examined language, media, art, and law in isolation, resulting in a limited understanding of their interdependent influence on society. Addressing this gap, the study aims to examine how these elements interact to shape cultural identities, public discourse, and institutional practices. The research adopts a qualitative methodology grounded in theoretical analysis and illustrative case studies to explore patterns of interaction across these domains. The findings indicate that linguistic landscapes contribute to the negotiation of cultural identities, while media and art serve as influential platforms for shaping public perception and contesting dominant norms. Legal frameworks further mediate these processes by regulating language use and safeguarding linguistic diversity. The study underscores the importance of an integrated analytical approach and highlights its implications for promoting inclusive, culturally responsive, and equitable societal structures.

Keywords: Art; cultural identity; language policy; linguistic landscapes; media.

Incentivizing behavior works better than incentivizing performance: An overview

Md. Nur Nobi — 2025-11-30

This study examines the importance of incentivization within microeconomic theory, focusing on its role in shaping individual and organizational decision-making. While traditional research has predominantly emphasized performance-based incentives tied to measurable outcomes, existing literature remains fragmented regarding the effectiveness and sustainability of behavior-based incentives. This gap limits a holistic understanding of how incentives influence long-term behavioral change. The objective of this study is to critically review and synthesize scholarly work comparing behavior-based and performance-based incentivization, with particular attention to their theoretical foundations, empirical support, and practical limitations. Using a structured qualitative literature review methodology, the study draws on microeconomic theory, alternative economic perspectives, and empirical studies to evaluate the mechanisms and outcomes of different incentive models. The findings suggest that behavior-based incentives offer distinct advantages in promoting sustained engagement and alignment with organizational goals, although they also present conceptual and implementation challenges. The study further reveals that contextual and psychological factors significantly influence incentive effectiveness. These insights contribute to advancing theoretical clarity and informing the design of more effective incentive systems. The implications highlight the value of integrating behavior-based approaches into microeconomic models to support more adaptive and sustainable policy and managerial practices.

Keywords: Behavioral economics; incentives; microeconomics; organizational behavior; performance incentives

Artificial intelligence and the reproduction of inequality: The role of algorithmic bias in social class imaginaries

Ebru Erbudak — 2025-12-30

The expansion of artificial intelligence has intensified debates concerning its social consequences, yet prevailing perspectives often assume algorithmic neutrality. Existing research insufficiently theorizes how digital infrastructures reproduce class-based inequalities, particularly within education, labor markets, and access to financial resources. Addressing this gap, the present study develops a critical framework grounded in Pierre Bourdieu's concepts of reproduction and habitus, integrating insights from digital sociology to interrogate the structural effects of algorithmic systems. Employing document analysis and theoretical critique, the study examines how technological determinism obscures the translation of cultural, historical, and economic capital into computational processes. The findings suggest that artificial intelligence does not function as a neutral arbiter but rather consolidates existing power relations by embedding class-based preconceptions into digital decision-making. This dynamic risks crystallizing social stratification into what may be conceptualized as a digital caste system, thereby constraining social mobility and undermining democratic publicness. The study concludes that overcoming the crisis of legitimacy surrounding algorithmic governance requires abandoning the illusion of neutrality and advancing a data justice framework capable of monitoring and transforming the class consequences of algorithmic rule.

Keywords: Algorithmic governance; data justice; digital inequality; habitus; social reproduction.