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Assessing the visibility and public engagement of bone marrow and stem cell transplantation research: An altmetric analysis
Published 2025-02-01“…Conclusion: A high percentage of articles in this field are present on social networks and platforms. Furthermore, highly cited articles on social media have attracted more attention. …”
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Challenging Discourses of Sexual Violence on X: The Linguistic Representation of Victims and Perpetrators in Kavanaugh’s Confirmation Process
Published 2024-07-01“…Research has shown that X is one of the most sexist and abusive social media services due to the constant spread and negotiation of different discourses relating to rape culture on the platform (Mendes et al. 2018). …”
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Women’s struggle and media reform: The Swedish Women’s Associations’ Radio Committee, 1933–1940
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Impact of #PCOSweightloss: A global X hashtag analysis study of weight loss narratives in the PCOS community
Published 2025-01-01“…Objective This study aims to analyze the trends of #PCOSweightloss on X to gain insights into the social media metrics, including overall hashtag reach, key themes, and potential influence on management practices of PCOS. …”
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Twitter (X) and the Commercial Determinants of Health: Characterizing the Most Amplified, Influential, and Connected Voices Driving Twitter Discourse About Tobacco Regulatory Polic...
Published 2025-01-01“…Practitioners and researchers should be wary of mischaracterizing industry public relations on social media as public sentiment.…”
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Description of Weight-Related Content and Recommended Dietary Behaviors for Weight Loss Frequently Reposted on X (Twitter) in English and Japanese: Content Analysis
Published 2025-02-01“…Although X (Twitter) is a popular social media platform, few studies have revealed the content of weight-related posts or details of dietary behaviors for weight loss shared on X. …”
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Sentiment analysis and audience engagement in thehashtags #VcNoJL1 and #VcNoJL2 on Twitter (X): a casestudy of the TV Liberal newscast in Pará, Brazil
Published 2024-08-01“…Using a statistical examination of these publications, a discreet level of engagement was observed among viewers, who are also users of the aforementioned social media platform. Furthermore, a sentiment assessment of the posts was carried out, revealing that 54% of the comments are negative, 31% are positive and 15% are neutral. …”
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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence
Published 2025-01-01“…Artificial Intelligence (AI) technologies have enabled researchers to develop tools to monitor real-world events and user behavior using social media platforms. Twitter is particularly useful for gathering invaluable information related to diseases and public health to build real-time disease surveillance systems. …”
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Digital Sociability: Implications of the COVID-19 Pandemic among Young Adults
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Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI
Published 2025-02-01“…MethodsTo analyze these trends, we collected posts (N=119,437) on the social media platform Twitter (now X) created by people living in New York City, Los Angeles, and Chicago from December 2021 to December 2022, which were impacted by the COVID-19 pandemic in similar ways. …”
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Cyberstalking Practices Among Youth in Türkiye: Motivational Drivers, Digital Avenues, and Perceptual Paradigms
Published 2024-12-01“…The findingsreveal Instagram as the primary locus of cyberstalking practices, driven by participants’ informationacquisition motives. X (Twitter) serves as a means to discern individuals’ political affiliations, Facebookas a repository of historical data, and Google facilitates access to individuals’ social networks. …”
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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election
Published 2025-01-01“…Focusing on the 2020 US presidential election, this research investigates how Twitter/X structures online communities with specific socialization patterns and ways to construct the truth. …”
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