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98 articles for “Media Research”
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Research ArticleOpen accessIn the keywordsSense Distortions in the Mass Media: Their Social ConsequencesGalina Sergeevna Melnik, Boris Yakovlevich Misonzhnikov, Anastasiya Nikolayevna Grishanina, Alla Nikolayevna TeplyashinaThe paper presents the results of the monitoring of St. Petersburg newspapers held in January-May 2015. The monitoring included qualitative and quantitative study of the content and evaluation of all the materials published in St. Petersburg newspapers. Special attention was given to such sections as Society, Politics, Law, Economy. The purpose of monitoring regional press was to detect errors or … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 15 Jun 2016 · 6,988 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 462 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Machine Learning Techniques to Analyze Consumer Mindset Metrics Embedded in Arabic Dialect Texts Across Social Media PlatformsSafa Khaled Al Sarairah, Mohd Heikal Husin, Noor Farizah IbrahimAs social media grows in popularity around the world, analyzing Arabic texts on these platforms can provide important insights into consumer attitudes and behavior. The complexity and diversity of Arabic and its dialects, however, make it a challenging task. This research raises these challenges by using and comparing the performance of Machine Learning (ML) models for classifying social media comments … …Journal of Computer Science, Vol. 22, Issue 5 · 5 Jun 2026 · 1,301 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Social Media Face Emotion Recognition Using a Fuzzy ELM ApproachShuchi Gupta, K. Viswanath, S. Gokul Pran et al.Our computational tools for searching, exploring, and sharing personal photographs are falling behind the rapid pace at which these images are being captured digitally. The use of automatic face recognition to categorize images according to the people in them is one potential solution. Accurate recognition on the Internet scale, however, presents the seemingly insurmountable challenge of picking out specific people … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,978 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and ChallengesBattula Thirumaleshwari Devi, Rajkumar RajasekaranThe digital age has fundamentally transformed how information is created and disseminated, raising critical concerns about the authenticity and trustworthiness of online content. Recent advances in Artificial Intelligence (AI), particularly deep learning, have given rise to deepfakes: highly realistic synthetic media generated by manipulating or replacing faces, voices, and actions in videos. While deepfake technology offers innovative applications across various … …Journal of Computer Science, Vol. 22, Issue 1 · 17 Feb 2026 · 4,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers ModelAndika Dwi Asmoro Wicaksono, RojaliThe increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts on platform X using transformer-based models, specifically IndoBERT, DistilBERT, and IndoRoBERTa. The goal is to evaluate the effectiveness of these models in classifying social media posts into positive, negative, and neutral sentiment … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimalization of the Swim-Up Method for Bali Bull Sperm: Effect of Incubation Time and Medium on Sperm KineticsAthhar Manabi Diansyah, Muhammad Yusuf, Rahmat et al.Bali bulls (Bos javanicus) are an essential part of Indonesia’s indigenous livestock, prized for their ability to thrive in challenging environments, their natural disease resistance, and their strong reproductive capabilities. The aim of this study was to refine the swim-up technique for preparing Bali cattle sperm. We evaluated the effects of two commonly used media Tyrode's Albumin Lactate Pyruvate (TALP) … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 9 Feb 2026 · 1,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid Parallel Framework Utilizing Machine and Deep Learning for Rapid Rumor Detection in Social MediaNeetu Rani, Amit Kumar Bhardwaj, Shaily Jain et al.Numerous businesses have faced significant repercussions due to the widespread dissemination of false information and rumors across social media platforms. The impact of fake news extends to tarnishing public perception, damaging corporate reputations, disrupting communities, undermining governmental integrity, exposing companies to risks, and posing a grave threat to social cohesion. This research article delves into the endeavours of prominent researchers … …Journal of Computer Science, Vol. 21, Issue 12 · 27 Jan 2026 · 1,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Self-Esteem and Body Dissatisfaction Among Jamaican Youths: Unraveling Influential Factors and Promoting Positive Self-ImageDenise LloydThis qualitative study explores body image and self-esteem perceptions among Jamaican youths aged 9-15, framed within a Participatory Action Research (PAR) approach. PAR, grounded in critical theory and social constructivism, emphasizes collaborative inquiry, cyclical reflection, and action to address social issues relevant to the participants' lived experiences. This methodology is particularly suited for youth-centred, culturally situated research, as it empowers … …Current Research in Psychology, Vol. 11, Issue 1 · 9 Jan 2026 · 3,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis Using Machine Learning and Deep Learning TechniquesSafa Khalid Al Sarayrah, Noor Mahmoud Alkudah, Hesham Yousef Al-kharabshehThis research investigates the use of Machine Learning (ML) and Deep Learning, including BiLSTM approaches, for Sentiment Analysis (SA) of consumer reviews on social media sites. Businesses are increasingly depending on online reviews to determine customer satisfaction due to social media's explosive growth. We used three classification models, the assessment of these attitudes uses Naive Bayes (NB), Support Vector Machine … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 6,813 accessesView PDFCite