The study examines how Instagram influencer endorsements are affecting college students in Chandigarh India to buy their products. Instagram and social media, in general, have become a decisive new factor in the current marketing environment that significantly transforms the consumer-brand communication across different age groups, with younger generations influencing this change the most. Instagram influencers have a large influence regarding purchases since usually they are trusted and provide original information. Instagram is the platform of choice of over a billion of active users, and it is possible to develop personal relations between influencers and their followers, so endorsement by them is more likely to persuade than regular advertising. Different factors such as credibility of the influencer, the kind of content that influences the purchase of a product (photos, video as well as stories), and the strategies that the influencing implement, such as affiliate marketing and discount codes, are also discussed in the study. According to results, there is an impressive degree of interactions of college students with Instagram, as approximately 90 percent of them use it on a regular basis, whereas a considerable percentage follows the advice of influencers. The results indicate that the credibility of influencers, the interactional character of Instagram content, and good promotion tactics have great impacts on purchase behavior. The study addresses this research gap because it examines college students specifically in Chandigarh and also provides an idea about the increasing efficiency of the strategies of Instagram influencer marketing in India.

In today’s digital world, increase of Fake News rapidly spreads substantial threats to both the public and individuals, emphasizing the crucial necessity for better-quality News Authenticity confirmation. This study gives a summary of some of the detection of bogus news using a Deep Learning (DL) technique and classification-based authenticity prediction techniques that to a large extent applied in several ways to news detection applications. Fake?True News Detection is currently a hard subject that is attracting investigation due to its detrimental effects on society. Deep Learning is employed in the crucial and often-used field of Fake News classification. Due to its excellent classification accuracy, the DL based approach has been widely used in the classification of news. Neural Network based – Convolutional Neural Networks (CNN), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM), Generative Adversarial Networks (GAN), Hierarchical Attention Network (HAN), and Graph-based CNN (GCN) are some of the Deep Learning approaches that have been taken into consideration in our study and are used for developing a variety of News Detection methods. The study also includes comparative studies on a few news detection and classification methods that have been used to various Fake News prediction issues.

Dance education plays a vital role in the holistic development of learners, fostering not only creativity and self-expression but also discipline, collaboration, and confidence. This qualitative study is a study of the lived experiences of Beijing, China dance schoolteachers as they work with parents as part of dance education. The research discusses a gap in the current literature regarding teachers using their understanding of parental involvement dynamics, specifically in extracurricular dance. With a transcendental phenomenological approach, descriptive narratives of the rich were gathered from respondents, in depth interviews with ten experienced dance schoolteachers. They shared their thoughts, emotions and strategies for instructionally and emotionally working with students and parents. Thematic analysis of the data yielded ten discrete themes surrounding adaptability in teaching, emotional labour, proactive communication, managing parental expectations, and accountability. Challenges and successful tips for establishing meaningful partnerships with parents as second caregivers as teachers provide. The findings indicate that teacher-parent communication needs to be improved, teachers need increased emotional support, and there are institutional programmes that should promote collaborative engagement with one another. At the end of the study, the paper presents several practical implications for the dance school, including the formation of training seminars and parent education programmes for the improvement of teacher-parent relationships. This research adds to the understanding of arts education parental engagement through insight into the complex roles teachers play and within the emotional labour of working as a teacher.

We have shown that certain non-commutative integral rings can be immersed in a field by a method which is not that of the construction of the field of fractions on the right , or left , of the ring ℝ under consideration.

Introduction: Numeracy is a key competency for the 21st century, yet global and national trends show that many students still fall below adequate levels of competence. On the other hand, local culture faces the threat of extinction due to the lack of integration in the lives of the younger generation. Objectives: This research offers an innovative new approach by developing an interactive digital comic based on Karo Culture as a learning medium to improve students' numeracy skills. The novelty of this research lies in combining authentic local cultural elements with interactive digital technology, creating a learning medium that is not only educative but also culturally relevant. Methods: The method used is research and development with the five stages of the Plomp model. Results: The results showed that the interactive digital comic based on Karo culture has a high level of validity, practical to use, and effective in improving students' numeracy skills. Analysis using e-Views software shows a significant increase in students' numeracy skills, which is 89%. In addition, this approach successfully integrates Karo cultural values into the modern learning process, making it not only an educational tool but also a strategic effort in cultural preservation. Conclusions: The conclusion of this study is that interactive digital comic media based on Karo Culture is an effective and relevant innovation in answering today's educational challenges, as well as contributing to the preservation of local culture in the midst of globalization. The findings provide a strong basis for the development of other culture-based learning media in the future

Introduction: This study aims to investigate the evolution of mass media convergence research from 2014 to 2023 Methods: The method used in this study is qualitative research with a literature study approach. Results: This study examined and analyzed data from over 81 documents, using VOSviewer to map and analyze the data. The findings revealed that the highest number of publications on Mass Media Convergence occurred in 2019. The United States is the country that most influences scientific publications. Meanwhile, based on the field of study, journals related to mass media convergence tend to be dominated by the fields of Social Sciences, Arts and Humanities, and Business and Management. Visualization mapping shows that topics such as social networking, media, and information search are the main focus of mass media convergence research. However, topics such as computer networks, digitization, and human experiments are still open for further study. Ongoing research trends illustrate the need to consistently explore new, relevant information in a rapidly changing media landscape. Conclusions: With media convergence, individuals can efficiently access information, broaden information availability, and participate in various media platformsThus, this study offers a thorough view of the current development, impact, and convergence trend of mass media..

This research systematically evaluates nine supervised machine learning models, encompassing classical and ensemble approaches, for identifying cyberbullying instances within tweet-based social media content, categorizing them as 'Bully' or 'Non_bully' (Alabdulwahab et al., 2023; Ostayeva et al., 2024). Employing a rigorous methodology that includes comprehensive text preprocessing and comparison of TF-IDF and Count Vectorizer for feature extraction, along with robust evaluation via Stratified K-Fold and Stratified Shuffle Split cross-validation, the study aims to optimize classification accuracy (Al-Harigy et al., 2022; Setiawan et al., 2024). Our empirical findings, as detailed in the results section, indicate that the Logistic Regression model, paired with a Count Vectorizer and evaluated using Stratified Shuffle Split, achieved the highest F1-Score of 0.8460, an accuracy of 0.8467, and a recall of 0.9067. This performance highlights the effectiveness of simpler linear models when combined with raw term frequency features and robust cross-validation in cyberbullying detection (León-Paredes et al., 2023; Muneer & Fati, 2020; Salawu et al., 2017). The Count Vectorizer consistently demonstrated superior discriminative power compared to TF-IDF for this dataset, suggesting that raw term frequencies were more indicative of cyberbullying patterns (Talpur & O’Sullivan, 2020). This work contributes to the academic understanding of cyberbullying detection by systematically identifying optimal model and feature engineering strategies, offering practical insights for developing effective automated systems to combat online harassment (Raj et al., 2021)

This article measures Maxwell fluid flow above a horizontal plate over a porous medium with the influence of MHD. Heat generation and radiation are left for discussion and explanation. The governing equations are converted into nonlinear ODEs by using similarity variables. The nonlinear ODE's answer is obtained using the renowned numerical Runge-Kutta method. The outcome of magnetic field (M), Deborah number (De), porosity (λ), radiation (Rd), Prandtl number (Pr), thermal slip (β), and energy generation (Q) are widely examined over graphs. The visualization and analysis of the consequences of modifying the model's parameters are conducted with the predefined values: Pr = 5, Rd = 2, M = 0.5, Q = 0.3, β = 0.5 and De = 0.6. In order to increase the values of M and Rd, this study attempts to determine the outcomes of thermal slip circumstances and examine the entropy generation and Bejan number. A good agreement is found when the results of the current work are compared with published work for code validation. The research's crucial conclusion is that the M affects both the expansion of thermal fields and momentum. On the other hand, the energy field accelerates due to heat radiation, and the Deborah number is influenced by the magnetic intensity.

The art of tribes can be considered an important cultural source of memory and identity because it is a visual representation of this memory, which summarizes Indigenous beliefs, traditions, and socio-spiritual histories. Of them, Bhil art in Madhya Pradesh can be singled out with its deep colouring, detailed design, and religious narration. Traditionally, a group expression with a ritual and agricultural-festival basis, Bhil art has been redefining itself into a recognizable voice in contemporary world practice. Lado Bai was a radical female artist in the Bhil community, serving as an example of this transformation. The bleeding of the traditional and the contemporary reflected in her work is from her background as a labourer to a nationally known artist because of the tutelage of Jagdish Swaminathan. This paper is a critical reading of her work in terms of visual semiotics and culture, a reduction of her sign use of pattern, symbolism, and narrative. This qualitative research, which involves semiotic analysis of images, field interviews, and comparative cultural systems, locates Bais' art in the traditions of Bhil people and in the context of Indigenous representation as a whole. The paper adds value to the study of the visual culture of Indigenous artists as the author develops the argument that the Indigenous cultural memory and meaning is actively transformed through individual and communal experience.

This research paper provides a comprehensive analysis of how media consumption habits have fundamentally evolved in response to technological advancements. It traces the historical trajectory from traditional print, radio, and television to the contemporary digital landscape dominated by the internet, mobile devices, streaming services, and social media platforms. Drawing upon Uses and Gratifications Theory and Diffusion of Innovations Theory, the paper identifies key technological drivers, explores their multi-faceted impacts on user behavior, information quality, and economic models within the media industry, and discusses the socio-cultural implications of these shifts. Furthermore, it outlines relevant research methodologies for studying these dynamic phenomena and considers the future trajectory of media consumption influenced by emerging technologies such as Virtual Reality, Augmented Reality, and Artificial Intelligence. By synthesizing existing scholarly understandings, this paper aims to offer a nuanced understanding of the complex interplay between technology and media consumption, highlighting both transformative opportunities and persistent challenges, and proposing key insights into the evolving media ecosystem.