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115 results for “Social Media”
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Review ArticleOpen accessIn the abstractA Multidimensional Framework for Understanding Internet Information Behavior: Influencing Factors and Progression in the Digital AgeJinyan Liao, Sameer Kumar, Fumitaka FuruokaThis study explores the multidimensional characteristics and influencing factors of Internet information behavior and constructs a theoretical framework to explain user behaviors in information acquisition, dissemination, and sharing. The paper defined the core concepts of Internet information behavior and examined its evolution in the digital era. It categorized information acquisition behaviors based on processing methods, emphasizing the roles of search … …Journal of Social Sciences, Vol. 21, Issue 1 · 9 Jun 2025 · 6,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Survey on Fake News Detection Using Machine LearningShraddha Shah, Sachin PatelIn the age of information data surplus and social media impact, the propagation of fake news has developed a significant societal concern. This challenge requires robust tools and methodologies for addressing, with machine learning emerging as a promising approach. The paper reviews different machine learning techniques in fake news detection, including supervised, unsupervised and semi-supervised methods. Supervised methods utilize labelled … …Journal of Computer Science, Vol. 21, Issue 4 · 20 Mar 2025 · 9,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractMillennial Visitors' Intentional Behavior with Environmental Concern for Developing the Turtle Edu-Tourism Marketing Strategy in Bajulmati Sea Turtle Conservation (BSTC), IndonesiaNuddin Harahab, Zainal Abidin et al.Tourism is important to the economy, yet it may affect the environment if conservation efforts are not implemented. Ecotourism is a tourism trend also being implemented in the Bajulmati Sea Turtle Conservation (BSTC) Edu-tourism in East Java. Turtle conservation and ecotourism are top priorities for BSTC. Millennials' enthusiasm for visiting BSTC varies with their level of environmental concern. To evaluate … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 4 · 25 Oct 2023 · 5,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Data Augmentation for Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Samsul Arifin, Eko Setyo PurwantoSocial media moderation is a crucial component to establish healthy online communities and ensuring online safety from hate speech and offensive language. In many cases, hate speech may be targeted at specific gender which could be expressed in many different languages on social media platforms such as Indonesian Twitter. However, difficulties such as data scarcity and the imbalanced gender-based hate … …Journal of Computer Science, Vol. 19, Issue 10 · 29 Sep 2023 · 5,555 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOVID-19 and Cause-Seeking. An Exploratory Study in ItalyMaurizio Norcia, Elisa ColìIn 2020, over 2 million Italian people contracted the SARS-CoV-2 virus. A pandemic of this magnitude and the very stringent countermeasures that have been adopted had a disruptive effect on people's lives, at a psychological, social, and economic levels. The exploratory study illustrated in this article focuses on the search for causes carried out by people and prompted by the … …Journal of Social Sciences, Vol. 18, Issue 1 · 10 Jan 2023 · 5,743 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAgricultural Farmers Training in Nepal: A Review of Social Work PerspectiveSom Nepali, Rajesh TamangSocial workers can mediate in the agricultural process on two crucial levels- first, it can familiarize the local people with the new technologies, information, training, available subsidies, and facilities either by the state or by institutions and organizations, secondly, it can use first-hand knowledge of the condition of the farmers to understand the need of the hour and convey the … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 8 Oct 2022 · 6,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Bias Detection in Tweets Using Bayesian Probabilistic ModelPrasanth G Rao, Harsha Chigurupati, Krish Hashia et al.Content moderation on social media faces persistent challenges from inconsistent evaluation shaped by subjective judgment and subtle semantic variations. This work proposes a Bayesian probabilistic framework for detecting bias in tweets using WordNet-based vocabulary filtering, statistical normalization via z-scores, and threshold optimization. The system is stateless, scalable, and dataset-agnostic, requiring no session-specific information. Unlike complex models such as Support Vector … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Semiotic Analysis of Anti-LGBTQ + Politically Motivated Hate SpeechPaul James PopeHate speech is speech that targets vulnerable minority people and groups, intended to denigrate their identity. Although hate speech has persisted for generations, its use against LGBTQ+ citizens has increased significantly since the 2016 U.S. presidential election. Hate speech is distinct from other critical rhetoric as it is both socially and politically motivated speech meant to marginalize and/or promote discrimination … …Journal of Social Sciences, Vol. 22, Issue 1 · 20 Apr 2026 · 1,850 accessesView PDFCite