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| CrossRef Text and Data Mining |
| Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
| Health Information Technology Trends in Social Media: Using Twitter Data |
| Jisan Lee, Jeongeun Kim, Yeong Joo Hong, Meihua Piao, Ahjung Byun, Healim Song, Hyeong Suk Lee |
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Healthc Inform Res. 2019;25(2):99-105. Published online April 30, 2019 DOI: https://doi.org/10.4258/hir.2019.25.2.99 |
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Health Information Technology Trends in Social Media: Using Twitter Data Healthcare Informatics Research. 2019;25(2):99  Feasibility of Conducting Retrospective Studies Using Hashtags and Social Media Data From Facebook and Twitter Value in Health. 2014;17(7):A584 An Analysis of Demographic and Behavior Trends Using Social Media: Facebook, Twitter, and Instagram Social Network Analytics. 2019;87-108 Twitter Campaigning in the 2011 National Election in Slovenia Social Media in Politics. 2014;141-163 Stuttgart’s Black Thursday on Twitter: Mapping Political Protests with Social Media Data Analyzing Social Media Data and Web Networks. 2014;154-196 #europehappinessmap: A Framework for Multi-Lingual Sentiment Analysis via Social Media Big Data (A Twitter Case Study) Information. 2018;9(5):102 Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr Journal of the Association for Information Science and Technology. 2015;66(10):2045-2060 What social media data should i use in my research?: A comparative analysis of twitter, youtube, reddit, and the new york times comments Proceedings of the Association for Information Science and Technology. 2016;53(1):1-6 Crowdbreaks: Tracking Health Trends Using Public Social Media Data and Crowdsourcing Frontiers in Public Health. 2019;7: Twitter vs. Zika—The role of social media in epidemic outbreaks surveillance Health Policy and Technology. 2021;10(1):174-181 |
