Using social media data to understand the impact of promotional information on laypeople’s discussions: a case study of lynch syndrome J Bian, Y Zhao, RG Salloum, Y Guo, M Wang, M Prosperi, H Zhang, X Du, ... Journal of medical Internet research 19 (12), e414, 2017 | 51 | 2017 |
Assessing mental health signals among sexual and gender minorities using Twitter data Y Zhao, Y Guo, X He, Y Wu, X Yang, M Prosperi, Y Jin, J Bian Health informatics journal 26 (2), 765-786, 2020 | 33 | 2020 |
Exploring eating disorder topics on Twitter: machine learning approach S Zhou, Y Zhao, J Bian, AF Haynos, R Zhang JMIR Medical Informatics 8 (10), e18273, 2020 | 26 | 2020 |
Understanding perceptions and attitudes in breast cancer discussions on Twitter F Modave, Y Zhao, J Krieger, Z He, Y Guo, J Huo, M Prosperi, J Bian Studies in health technology and informatics 264, 1293, 2019 | 20 | 2019 |
Effects of brief exposure to misinformation about e-cigarette harms on twitter: a randomised controlled experiment C Wright, P Williams, O Elizarova, J Dahne, J Bian, Y Zhao, ASL Tan BMJ open 11 (9), e045445, 2021 | 19 | 2021 |
Analysis of Twitter to identify topics related to eating disorder symptoms S Zhou, Y Zhao, R Rizvi, J Bian, AF Haynos, R Zhang 2019 IEEE international conference on healthcare informatics (ICHI), 1-4, 2019 | 19 | 2019 |
Detecting associations between dietary supplement intake and sentiments within mental disorder tweets Y Wang, Y Zhao, J Zhang, J Bian, R Zhang Health informatics journal 26 (2), 803-815, 2020 | 13 | 2020 |
Deep learning models in detection of dietary supplement adverse event signals from Twitter Y Wang, Y Zhao, D Schutte, J Bian, R Zhang Jamia open 4 (4), ooab081, 2021 | 10 | 2021 |
Integrating crowdsourcing and active learning for classification of work-life events from tweets Y Zhao, M Prosperi, T Lyu, Y Guo, L Zhou, J Bian Trends in Artificial Intelligence Theory and Applications. Artificial …, 2020 | 10 | 2020 |
Biases in using social media data for public health surveillance: A scoping review Y Zhao, X He, Z Feng, S Bost, M Prosperi, Y Wu, Y Guo, J Bian International Journal of Medical Informatics 164, 104804, 2022 | 9 | 2022 |
Data and model biases in social media analyses: a case study of COVID-19 Tweets Y Zhao, P Yin, Y Li, X He, J Du, C Tao, Y Guo, M Prosperi, P Veltri, X Yang, ... AMIA Annual Symposium Proceedings 2021, 1264, 2021 | 9 | 2021 |
Detecting signals of associations between dietary supplement use and mental disorders from Twitter Y Wang, Y Zhao, J Bian, R Zhang 2018 IEEE International Conference on Healthcare Informatics Workshop (ICHI …, 2018 | 8 | 2018 |
Mining Twitter to assess the determinants of health behavior towards palliative care in the United States Y Zhao, H Zhang, J Huo, Y Guo, Y Wu, M Prosperi, J Bian AMIA Summits on Translational Science Proceedings 2020, 730, 2020 | 6 | 2020 |
Smokers’ likelihood to engage with information and misinformation on twitter about the relative harms of e-cigarette use: Results from a randomized controlled trial J Liu, C Wright, P Williams, O Elizarova, J Dahne, J Bian, Y Zhao, ... JMIR public health and surveillance 7 (12), e27183, 2021 | 5 | 2021 |
Understanding perceptions and attitudes toward genetically modified organisms on twitter I Jun, Y Zhao, X He, R Gollakner, C Court, O Munoz, J Bian, I Capua, ... International Conference on Social Media and Society, 291-298, 2020 | 4 | 2020 |
Exploring Lung Cancer Screening Discussions on Twitter. Y Zhao, J Huo, MCF Prosperi, Y Guo, Y Li, J Bian MedInfo, 2011-2012, 2019 | 3 | 2019 |
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization A Chen, Y Zhao, Y Zheng, H Hu, X Hu, JN Fishe, WR Hogan, ... Informatics 11 (1), 4, 2024 | | 2024 |
Smokers’ Likelihood to Engage with Misinformation of E-cigarette Relative Harms on Twitter: Results from a Randomized Controlled Experiment. CL Wright, A Tan, J Dahne, J Bian, O Elizarova, Y Zhao, PM Williams, ... Society for Research on Nicotine and Tobacco (SRNT) Annual Meeting, 2021 | | 2021 |
Effects of brief exposure to misinformation on e-cigarette harms on twitter: Results from a randomized controlled experiment A Tan, P Williams, O Elizarova, J Dahne, Y Zhao, J Bian, C Wright APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24-28), 2020 | | 2020 |
Smokers’ Likelihood to Engage with Misinformation of E-cigarette Relative Harms on Twitter: Results from a Randomized Controlled Experiment J Liu, CL Wright, PM Williams, O Elizarova, JR Dahne, J Bian, Y Zhao, ... Addictive Behaviors, 2020 | | 2020 |