Topic modelling and emotion analysis of the tweets of British and American politicians on the topic of war in Ukraine by Olena Karpina, Justin Chen

“…This paper focuses on the content and emotive features of four politicians' posts that were published on their official Twitter accounts during the three-month period of the russian invasion of Ukraine. …”
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RUemo—The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning by Piyush Vyas, Gitika Vyas, Gaurav Dhiman

“…Our key finding indicates that:First, 81% of Twitter users in the survey show a neutral position toward RUW; second, there is evidence of social bots posting RUW-related tweets; third, other than Russia and Ukraine, users mentioned countries such as Slovakia and the USA; and fourth, the Twitter accounts of the Ukraine President and the US President are also mentioned by Twitter users. …”
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Detection of Turkish Fake News From Tweets With BERT Models by Gulsum Kayabasi Koru, Celebi Uluyol

“…In this study, fake news obtained from verification platforms on Twitter and real news obtained from the Twitter accounts of mainstream newspapers were labeled and, preprocessed using the Zemberek natural language processing tool developed for the Turkish language, and a dataset named TR_FaRe_News was created. …”
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“Can I write this is ableist AF in a peer review?”: A corpus-driven analysis of Twitter engagement strategies across disciplinary groups by Xiaoyu Xu, Jeroen Gevers, Luca Rossi

“…Our paper reports an early-stage corpus-driven analysis of 4,000 English tweets from 40 scholars’ Twitter accounts across four disciplinary groups: Arts and Humanities (AH), Social Sciences (SS), Life Sciences (LS), and Physical Sciences (PS). …”
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Paradox in Disaster Management: 2020 Aegean Sea Earthquake by Alper Bilgili, Gaye Sanatcı Aktaş

“…The data used in the research: 30-31 October and 1 November belonging to the official Twitter accounts of the Izmir Governor's Office and the Disaster and Emergency Management Presidency within the scope of the central government, and AKUT and IHH Humanitarian Relief Foundation within the scope of the non-governmental organizations of the Izmir Metropolitan Municipality and Seferihisar Municipality within the scope of local administrations. …”
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High Internet awareness and proficiency among medical undergraduates in Nigeria: A likely tool to enhance e-learning/instruction in Internal Medicine by Oluchi S Ekenze, Christian I Okafor, Sebastian O Ekenze

“…Two hundred and twenty-two (97.8%) could access the Internet, with Google and Twitter accounts being the highest and the least used tools, respectively. …”
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Cross-sectional study on utilisation of social media by regional anaesthesia and acute pain medicine fellowship programs in the United States by Janet Hong, Usama Siddique, Ghislaine Echevarria, Alopi Patel, Yan H Lai, B H Poonam Pai

“…Furthermore, only 10% of programs had RAAPM fellowship-specific Twitter accounts, of which only 5% of programs were active. …”
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Content analysis of social media regarding obesity as a chronic disease by Farah Abdul Razzak, Diane Saab, Firas Haddad, Jumana Antoun

“…Methods Using a codebook adapted from the definition of chronic disease, content analysis was conducted to evaluate a set of posts sampled from 11 health-related organizations and 10 weight loss applications Facebook and Twitter accounts. Descriptive statistics were used to assess the extent obesity was portrayed as a chronic disease. …”
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Framing clinical and translational science: Examining the strategic social media communications of NCATS-funded CTSAs by Nicki Karimipour, Dominique Pope, Sohini Deva, Suail Fabros, Eric A. Apaydin

“…Methods: We examined 349 tweets posted from January 2019 to January 2020 from 19 CTSA Twitter accounts (sampled from a total of 35 CTSA accounts). …”
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Social Media Use By People With Diabetes In Saudi Arabia: A Survey About Purposes, Benefits And Risks by Alzahrani A, Alanzi T

“…The survey was distributed using WhatsApp and Twitter accounts of diabetic associations in Saudi Arabia. …”
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#Ophthalmology: Social Media Utilization and Impact in Ophthalmology Journals, Professional Societies, and Eye Health Organizations by Cohen SA, Pershing S

“…Among journals with active Twitter accounts, total followers, total tweets, average retweets, and average “favorites” were all significantly positively correlated with academic metrics such as the SJR, h-index, and/or impact factor.Conclusion: Greater social media engagement is associated with higher ophthalmology journal impact metrics; however, ophthalmology journals and professional societies lag behind eye health organizations in social media engagement. …”
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Sex Workers’ Lived Experiences With COVID-19 on Social Media: Content Analysis of Twitter Posts by Ahmed Al-Rawi, Kiana Zemenchik

“…MethodsA literature review followed by a qualitative analysis of 1458 (re)tweets from 22 sex worker Twitter accounts was used for this study. The tweets were qualitatively coded by theme through the use of intercoder reliability. …”
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Inferring user location from time series of social media activity by Webb, Matthew Robert

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Twitter sentiment analysis for foreign exchange market prediction by Oon, Xue Ting

“…The tweets were from Twitter accounts with great influence such as politicians like the 44th and 45th president of the United States of America; Barack Obama and Donald Trump, as well as news outlets such as CNN, BBCWorld. …”
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Tweeting the friendly skies: Investigating information exchange among Twitter users about airlines by Sreenivasan, Nirupama Dharmavaram, Lee, Chei Sian, Goh, Dion Hoe-Lian

“…Malaysia Airlines, Jet Blue and Southwest – as well as 260 airline postings on their official Twitter accounts is undertaken. The types of postings were ascertained via content analysis. …”
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#Ebola and Twitter: lessons learned by Vorovchenko, T

“…In addition to descriptive statistics of Twitter use and engagement, content analysis was conducted to categorise Twitter accounts and tweets of interest.</p> <p><strong>Main results:</strong> The temporal tweet frequency distribution corresponded with key Ebola news events with a substantial proportion of tweets coming from West Africa. …”

Social Media Usage by United States Plastic Surgery Subspecialty Fellowship Programs by William M. Tian, BSE, Amanda R. Sergesketter, MD, Victoria N. Yi, BA, J. Alexander Sizemore, BS, Sydney M. Record, BA, Steven L. Zeng, BA, Brett T. Phillips, MD, MBA

“…There were a total of 25 Instagram accounts, four Facebook accounts, and three Twitter accounts across all investigated subspecialties. …”
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Health belief model and social media engagement: A cross-national study of health promotion strategies against COVID-19 in 2020 by Zhifei Mao, Di Wang, Di Wang, Shanshan Zheng

“…BackgroundUsing the Health Belief Model (HBM), this study analyzed tweets related to COVID-19 published by national health departments of the United States, the South Korea, the United Kingdom, Japan, Germany, and India to explore their differences in (1) the health measures against COVID-19, (2) the health promotion strategies, (3) the social media engagements that those measures and strategies have triggered.MethodWe conducted a content analysis with 1,200 randomly selected COVID-19-related tweets from six national health departments' Twitter accounts from 1 January 2020 to 31 December 2020. …”
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Using an Evidence-Based Approach for Policy-Making Based on Big Data Analysis and Applying Detection Techniques on Twitter by Somayeh Labafi, Sanee Ebrahimzadeh, Mohamad Mahdi Kavousi, Habib Abdolhossein Maregani, Samad Sepasgozar

“…In the second phase, the developed model was tested against 6-month data elicited from Twitter accounts. The experimental results show that the evidence detection model performed better with decision tree (DT) than the other algorithms. …”
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Target-Oriented Investigation of Online Abusive Attacks: A Dataset and Analysis by Raneem Alharthi, Rajwa Alharthi, Ravi Shekhar, Arkaitz Zubiaga

“…The dataset contains 2.3K Twitter accounts, 5M tweets, and 106.9K categorised conversations. …”
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