Hate speech’s double damage: A semi-automated approach toward direct and indirect targets by Mario Haim, Elisa Hoven

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Assessment of the quality of endoscopic tympanoplasty and endoscopic myringoplasty videos on YouTube by Kerimcan Çakıcı, Sabri Köseoğlu

“…Abstract Background YouTube has become a widely used platform for surgical education, especially in otolaryngology. …”
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YouTube as a Source of Information on Pulmonary Rehabilitation for COPD Patients by Bilgehan Kolutek Ay, Hatice Şahin

“…Aim: YouTube is increasingly being used as a platform for accessing health-related information, including diseases and treatments. …”
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Hyperbole in Arabic YouTube: a pragmalinguistic study of artificial intelligence discourse by Rashed Saad Alsharif

“…This study investigates the use of hyperbolic expressions in AI discourse on Arabic social media, with a focus on YouTube, to understand how AI is perceived by Arabic-speaking audiences. …”
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YouTube and Bilibili as sources of information on oral cancer: cross-sectional content analysis study by Qilei zhang, Zhe Li, Huiping Zhang, Ling Han, Shugang Zhao, Siyu Jia

“…YouTube videos received a greater number of views and likes, while there was no significant difference in average likes per 30 days or comments between the two platforms. …”
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Social Media Platforms Manufacturing Small and Medium Enterprises Use to Enhance Market Performance in Wakiso District, Uganda by Mbowa, Henry Stanley, Marus, Eton, Tushabe, Sylivia Byarugaba

“…Results indicated that WhatsApp (51%) and Facebook (35%) were the predominant platforms employed by manufacturing SMEs while YouTube (6.2%), Twitter (3.4%) and others (TikTok and LinkedIn) accounted for 4.5%. …”
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Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm by mawar hardiyanti, Maria Karmelia Fajarlestari

“…This traditional art form has been deeply rooted in Indonesian society for centuries, evolving through live performances and, more recently, through rapid digital adaptations—including presentations on online platforms such as YouTube. In the digital age, YouTube has become a leading platform for video sharing, allowing audiences to enjoy wayang performances without being physically present. …”
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Pragmatic Markers in the English-Language Election Discourse (on the Example of Speeches by Candidates for the Post of Leader of the Conservative Party of Great Britain) by O. V. Obvintseva, D. V. Pitolin, T. O. Obvintseva

“…Hunt, published on the YouTube online platform in June-July 2019. The classification of pragmatic markers by B. …”
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Application of Artificial Intelligence in Copyright Protection: A Case Study on Reaction Videos on Youtube by Ainul Fadilah Puji Islami

“…The development of digital technology, especially through YouTube, has given rise to a variety of creative content, including reaction videos. …”
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Applying Artificial Intelligence to Analyze Emotions in Social Media Comments using Large Language Models by Sarah Astiti, Iswandi Iswandi, Tomy Nanda Putra, Darmansah Darmansah

“…This study aims to explore the application of LLMs in classifying users' emotions based on their comment texts across various social media platforms. The methodology involves collecting comment data from Twitter, Facebook, and YouTube, followed by text preprocessing using Natural Language Processing (NLP) techniques. …”
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Beyond ad hominem attacks: A typology of the discursive tactics used when objecting to news commentary on social media. by Ashley L Shea, Aspen K B Omapang, Ji Yong Cho, Miryam Y Ginsparg, Natalie N Bazarova, Winice Hui, René F Kizilcec, Chau Tong, Drew B Margolin

“…Social media platforms increasingly serve as the primary place where people participate in public conversations about news. …”
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Quasi-experimental quality evaluation of educational-purposed user-generated contents under a stochastic multi-criteria environment by Roberto Suson, Nadine May Atibing, Samantha Shane Evangelista, Charldy Wenceslao, Fatima Maturan, Rica Villarosa, Lanndon Ocampo

“…Considering the diverse nature of contents, the method evaluates 16 educational-purposed UGC videos from different online media platforms (i.e. Facebook, YouTube, TikTok). These videos were categorized based on their concordance and discordance to three (3) main criteria: content quality, design quality, and technology quality. …”
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