Demonstration of Participation Networks in Urban Transport Policy of Public and Private Sectors through Social Media: The Case of Bike-Sharing Pricing Strategy in China by Qian Ye, Xiaohong Chen, Hua Zhang, Junjie Cai, Kaan Ozbay

“…Dataset on retweets from the Chinese Twitter-Sina Weibo is collected. Results reveal two types of important actors with unequal roles in terms of information diffusion: the “network root” and the “network bridge.” …”
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AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques by Hesham Allam, Chris Davison, Faisal Kalota, Edward Lazaros, David Hua

“…This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning (ML), to identify suicidal ideation from Twitter data. A predictive model was developed to process social media posts in real time, using NLP and sentiment analysis to detect textual and emotional cues associated with distress. …”
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A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis by Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu

“…In this paper, we constructed a new dataset, SM-MSD, for sentiment analysis in social media (SAS) that differs significantly from conventional corpora, comprising 10K instances of diverse data from Twitter, encompassing text, emoticons, emojis, and text embedded in images. …”
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Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…The proposed model shows higher accuracy (more than 90% in all cases) on standard bench mark datasets of Twitter, Kaggle, IAM, and Amazon reviews etc. It may further be increased by employing a hybrid approach of intelligent algorithms. …”
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استراتیجیات استخدام شبکات التواصل الاجتماعى فى الأرشیفات الوطنیة العربیة : دراسة وصفیة تحلیلیة by د. السید صلاح الصاوى

“…Although the use of social media (Facebook, YouTube,Twitter, LinkedIn, Instagram, Flickr, Templer, …) is a relatively new phenomenonin Archives compared to libraries and other information centers, NationalArchives have sought to adopt strategies to use social networks to increasecommunication and interaction with users and to identify their views in thedevelopment of information services provided, including interactive contentcreation and distribution of content related to archival documents.This study aims to identify the uses of social networks in the ArabNational Archives, the availability of specific and declared strategies for their use,the analysis of their characteristics (objectives, content, …etc.), the socialplatforms used by archives and the training of staff who manage and update thecontent of National Archives on these platforms. …”
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Missing The Forest For The Trees: A Lack Of Upper Extremity Physical Performance Testing In Sports Physical Therapy by Matthew L Gauthier, Casey A Unverzagt, Luciana De Michelis Mendonça, Amee L Seitz

“…The 19-question online survey was distributed via email and Twitter among sports physical therapists. Independent t-tests and Chi Square analyses were conducted to determine differences in practice patterns between physical therapists with and without specialization and the frequency of potential barriers that may limit the use of these tests…”
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Perceived impact of physiotherapy-related debates on the social platform “X” on physiotherapists’ professional development and knowledge acquisition: a cross-sectional study by Maryam Alasfour, Zainab Lajami, Abdullah Algashami

“…Abstract Background In Saudi Arabia, the social media platform “X” (formerly known as “Twitter”) is widely utilized by healthcare professionals. …”
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Foodborne Event Detection Based on Social Media Mining: A Systematic Review by Silvano Salaris, Honoria Ocagli, Alessandra Casamento, Corrado Lanera, Dario Gregori

“…The results highlighted Twitter and Yelp as primary data sources, with shallow learning models dominating the field. …”
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Do discurso de ódio homofóbico à resistência lgbtqia+: uma análise das mensagens publicadas nas redes sociais by Josinaldo Monteiro da Silva, Uriel Mendes Carneiro de Oliveira, Joseval dos Reis Miranda

“…Dentro dessa perspectiva, este trabalho tem como objetivo analisar algumas mensagens, publicadas no Facebook e Twitter, de modo que possamos verificar os prováveis discursos homofóbicos e de resistência, propagados nesses espaços virtuais referentes à temática LGBTQIA+. …”
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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies by Adham Kahlawi, Firas Masri, Wasim Ahmed, Josep Vidal-Alaball

“…MethodsA total of 755,215 social media posts from X (formerly Twitter) were collected across 3 time periods: the virus' emergence (February 15 to March 31, 2020), strict lockdown (April 1 to May 30, 2020), and the vaccine rollout (December 1, 2020 to January 15, 2021). …”
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Finding Ways to Lift Barriers to Care for Chronic Pain Patients: Outcomes of Using Internet-Based Self-Management Activities to Reduce Pain and Improve Quality of Life by Kevin Rod

“…Patients were encouraged to visit two Internet sites (a blog and Twitter postings) for educational postings written by the author about exercise, nutrition, mindfulness meditation, disease management methods, evidence-based supplements, daily relaxation exercises, and overall self-management methods 15 minutes per day for six months. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

“…The rapidly growing world of social media sites such as Twitter, Reddit, Facebook, Instagram, and Weibo has provided new avenues for depression detection using Machine Learning (ML) as well as Deep Learning (DL), which analyze user behavior patterns and linguistic cues for more accurate detection of depression. …”
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Public knowledge, attitudes, practices, and barriers to skin cancer screening in the United Arab Emirates. by Anan S Jarab, Walid Al-Qerem, Karem H Alzoubi, Mariam Al Mohammad, Shrouq R Abu Heshmeh, Yazid N Al Hamarneh, Tareq Mukattash, Maher Khdour

“…<h4>Methods</h4>In this cross-sectional study, an online-based questionnaire was distributed via online social media sites such as Facebook, WhatsApp, Twitter, and others to the residents of the UAE. The questionnaire evaluated socio-demographics, knowledge (8 items), attitudes (10 items), practices (14 items), and barriers (9 items) in the context of skin cancer screening. …”
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Charming e-cigarette users with distorted science: a survey examining social media platform use, nicotine-related misinformation and attitudes towards the tobacco industry by Elexis C Kierstead, Barbara Schillo, Jodie Briggs, Nathan A Silver

“…Ordinal logistic regression with robust standard errors controlling for gender, race/ethnicity, education, current e-cigarette use and age was used to examine relationships between variables.Results Twitter use was associated with higher odds of recall (OR=1.21, 95% CI=1.01 to 1.44) and belief (OR=1.26, 95% CI=1.04 to 1.52) in COVID-19-specific distorted science. …”
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أنماط الافادة من شبکات التواصل الاجتماعیة و المهنیة لدى عینة من أعضاء هیئة التدریس بالجامعات المصریة... by د. اسماء محمد السید

“…There are a number of negative consequences of the use of social andprofessional networks, and varied between psychological and neurologicalconsequences, as it was one of the negative implications for the use offaculty members of the social networks and professional belief that they stealtime, and lead to the loss of high value, Negatives some of the physicalimplications of what we call the psychological stress, nervous and visual.7. The Facebook and Twitter network ranked first in the ranking of socialnetworks, while Linked Network ranked first in professional networking.…”
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Event Detection and Identification of Influential Spreaders in Social Media Data Streams by Leilei Shi, Yan Wu, Lu Liu, Xiang Sun, Liang Jiang

“…The experimental results, using a Twitter dataset, demonstrate the effectiveness of our proposed methods for both detecting events and identifying influential spreaders.…”
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Comunicación y populismo 2.0 en la nueva política española: by Jacob González Castro

“…Diseño/metodología/enfoque: Esta investigación analiza, mediante la técnica del análisis de contenido, las publicaciones que los dos partidos han realizado por medio de sus cuentas de Facebook y Twitter, acotando estas al período correspondiente a la campaña electoral que concluyó con la celebración de la primera de las dos elecciones generales que tuvieron lugar en España durante el año 2019, concretamente el 28 de abril. …”
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A woman’s place is in theatre: women’s perceptions and experiences of working in surgery from the Association of Surgeons of Great Britain and Ireland women in surgery working grou... by Maria Irene Bellini, Yitka Graham, Catherine Hayes, Roxanna Zakeri, Rowan Parks, Vassilios Papalois

“…The aim of this study was to survey women working within the discipline, to understand their current perceptions, providing insight into their practical day-to-day lives, supporting an action-oriented change.Design and setting The link to a confidential, online survey was distributed through the Association of Surgeons of Great Britain and Ireland (ASGBI) social media platforms on Facebook and Twitter over a 2-week period in October 2017.Participants Women working in surgical specialties and actively responding to the link shared through the ASGBI social media platforms. …”
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Comunicación online de las universidades de Ecuador by Marta Gimeno Pascual

“…En la prensa sobresalen temas promocionales; los sitios web de universidades líderes tienen más calidad y tráfico web; las redes sociales más empleadas son Facebook y Twitter, las universidades líderes interactúan con los receptores sobre temas de su interés, las ecuatorianas mantienen la misma estrategia que en la prensa. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…MethodsA total of 4.9 million posts were extracted from Facebook, Twitter, Reddit, and 16 online cancer-related forums. …”
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