Search
29 articles for “Social media content”
-
Enhancing User Engagement and Content Relevance: A Novel Approach to Social Media Post Recommendation System
Abstract: The social media post recommendation system is an innovative solution aimed at optimizing content delivery for users in today's digital age. Its primary motive is to tailor online experiences, ensuring users receive posts most relevant to their preferences. Various machine learning algorithms are employed to suggest related posts. This system leverages advanced algorithms and analytics, producing key results that highlight user engagement metrics and content relevance. Preliminary findings of this …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
-
Opportunities & Challenges of Local Newspapers in Rural Communication
Abstract: Communication is essential to modern society, serving as the backbone of interactions and information sharing within communities. Among the various forms of media, local newspapers play a crucial role in shaping the development landscape of rural areas. They serve as vital sources of information that connect communities and facilitate development initiatives, bridging the gap between the government, non-governmental organizations, and rural residents. By providing important information about welfare schemes, agricultural …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 42–46 Read article
-
Role and Importance of Machine Learning in Social Media
Abstract: The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media's impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 23–30 Read article
-
Television Media and Children: A Sociological Insight on Rural Society in Punjab
Abstract: The present paper deals with to understand the media forms of television and digital media as an influential agent of socialisation in contemporary society, especially among the children. The increasing accessibility of television and digital media, especially in the rural society of Punjab, have greatly impacted the patterns of childhood socialisation, cultural norms, religious practices, attitudes, and routine behaviour. During the study it is found that television continues to occupy …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 21–34 Read article
-
The Awareness–Behaviour Paradox: Media Literacy and Social Media Risk Behaviour Among Nigerian Undergraduates
Abstract: Background: The proliferation of internet-capable devices and social media platforms has created an intricate web of risks for Nigerian undergraduates, including cyberbullying, addiction, misinformation, and exposure to indecent content. While media literacy has been widely proposed in Western scholarship as a sustainable intervention for responsible online behaviour, its protective mechanisms remain insufficiently understood in non-Western contexts, particularly with respect to the psychological pathways through which literacy operates. Objectives: This study …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 121–126 Read article
-
Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
-
Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
-
A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
-
Taskpro AI: Redefining Small Business Content Creation Through Advanced AI Innovation
Abstract: TaskPro AI is a chatbot made using the GPT-4.0 API key to revolutionize textual content creation for small businesses. Harnessing the power of generative AI, TaskPro AI is a versatile tool for generating various writing works, including blog posts, product articles, social media captions, and more. The chatbot streamlines content creation by providing users with an intuitive interface, making it effortless to articulate their ideas, thanks to its advanced capabilities. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
-
A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
-
Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
-
Mensmaven, a Fashion Blog and Thrift Store
Abstract: Mensmaven is a fashion and lifestyle content creator, reaching thousands of men and women every month through social media efforts. Mensmaven covers topics including menswear, lifestyle, grooming, and fitness. It is a blog-based website that gives practical style tips as well as approachable, honest, and relatable content for everyday men who are interested in menswear. A thrift store has also been created, which is a terrific place to get resale …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 37–43 Read article
-
The New Digital Accord: Ethics, Society and the Future of Online Interaction
Abstract: In a time when digital technology feels like our second home, every click leaves a mark, and every share holds significance. The ‘New Digital Accord’ aims to explore the complex relationship between technological progress and ethical responsibilities, examining how our constant connectivity shapes social behaviours, digital safety, and moral values. This paper addresses key challenges such as cybersecurity threats, misinformation, digital addiction, online harassment, and the ethical questions surrounding artificial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 102–113 Read article
-
Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
-
Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
-
Online Hate Speech on Social Media Platforms
Abstract: Social media is an online interactive digital platform which allows large number of group of people to connect with each other virtually, to create content and share their thoughts, information, ideas, and much more in the form of text, pictures, and videos. But sometime people share their negative view, and their message is turned into hate speech. Hate speech is of two types: online and offline. Online hate speech spreads …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 16–25 Read article
-
Measuring Social Media’s Impact on Impulse Buying Behavior
Abstract: This study investigates the influence of social media on impulse buying behavior, focusing on how various platforms drive spontaneous purchases and the psychological and demographic factors that contribute to this behavior. Using a mixed-method approach, the research combines quantitative surveys with qualitative insights to offer a comprehensive analysis. We explore how different types of content, such as targeted advertisements, influencer endorsements, and user-generated media, impact consumer impulses. The study examines …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 14–22 Read article
-
The Social Media Misinformation Loop: An Analysis of Consumption and Sharing Behaviours among Medical Students
Abstract: Background: The contemporary information landscape is largely dominated by social media, which has emerged as a major source of information for medical students. This study aims to investigate the information consumption and sharing behaviours of medical students in Jammu and Kashmir, India, in the context of misinformation and its growing influence. Methods: A cross-sectional survey using a structured questionnaire was administered to 668 students from 13 medical colleges. The data …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
-
Personal Portfolio Website: A Tool for Professionals to Present their Work and Skills
Abstract: This work delves into the burgeoning realm of private portfolio websites, exploring the motivations and aspirations behind the efforts of experts to curate their virtual presence. In an era where personal branding and online visibility are paramount, these websites function as more than mere repositories of work; they are dynamic systems for self-expression, professional growth, and networking. Through a comprehensive evaluation of design trends and user experiences, this study highlights …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
-
Effects of Reels and short videos on human mind and Academic Life
Abstract: The rapid rise of short-form video platforms such as Instagram Reels, TikTok, and YouTube Shorts has fundamentally reshaped the way people consume information and entertainment. While these applications offer quick engagement and social connection, their excessive use has raised serious concerns about their psychological and academic impacts. This research investigates the relationship between short-form video addiction, mindfulness, academic anxiety, and academic engagement among university students. Drawing upon the theoretical framework …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 Read article