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Jieyu (Jade) D. Featherstone

Education

  • M.A., Marquette University, Communication Studies, 2016
  • B.A., Beijing Foreign Studies University, Translation and Interpreting, 2014

Research Focus

Jade is primarily interested in health misinformation on social media. Particularly, she has done various research trying to understand the effects of misinformation, the strategies of combating misinformation, and the spread of misinformation online. Her secondary research focuses on understanding the attitudes of genomic editing among different populations and how to construct campaign strategies. 

Currently, Jade is doing research on the effects of misinformation and approaches for correcting misinformation. Strategies such as fact check misinformation, using two-sided refutational messages have achieved successful results. At the same time, Jade is also working on big data to discover opinion leaders, discourse characteristics about genome editing on Twitter. Jade will also attend Facebook's summer internship at Menlo Park in 2019 to pursue her research on misinformation. 

Selected Publications

Publications

12. Calabrese, C., Featherstone, J. D., Robbins, M., & Barnett, G. A. (2021). Examining the  relationship between gene editing knowledge, value predispositions, and general science  attitudes among U.S. farmers, scientists, policymakers, and the general public. Journal of  Science Communication.

11. Featherstone, J. D., Barnett, G. A. (2020), Validating sentiment analysis on opinion mining using self-reported attitude scores. Proceedings of the 2020 Seventh International Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN), IEEE.

10. Zhang, J., Featherstone, J. D., Calabrese, C. J., Wojcieszak, M. (2021). Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines. Preventive Medicine, 145, 106408. [Co-First author]

9. Featherstone, J. D., Barnett, G. A., Ruiz, J. B., Zhuang, Y., Millam, B. J. (2020). Exploring childhood anti-vaccine and pro-vaccine communities on Twitter – A perspective from influential users. Online Social Networks and Media, 20, 100105.

8. Featherstone, J. D., Zhang, J. (2020) Feeling angry: the effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. Journal of Health Communication, 25, 692-702.

7.  Featherstone, J. D., Ruiz, J. B., Barnett, G. A., Millam, B. J. (2020). Exploring childhood vaccination themes and public opinions on Twitter: A semantic network analysis.Telematics and Informatics, 54, 101474.

6. Ruiz, J. B., Featherstone, J. D., & Barnett, G. A. (2020). Identifying vaccine-hesitant communities on Twitter and their geolocations: a network approach. Proceedings of the 54th Annual Hawaii International Conference on System Sciences, 2021. IEEE Digital Library.

5. Featherstone, J.D., Bell, R. R., & Ruiz, J. B. (2019). Relationship of people’s sources of health information and political ideology with acceptance of conspiratorial beliefs about vaccines. Vaccine, 37, 2993-2997.

4. Anderton, B., Calabrese, C.J., Featherstone, J.D., Barnett, G.A., & Woelfel, J. (2019). Message strategies to improve the image of CRISPR. Communication & Science Journal, 1-13.

3. Calabrese, C., Ding, J., Millam, B., & Barnett, G. A. (2019). The uproar of gene-edited babies: A semantic network analysis of CRISPR on Twitter. Environmental Communication, 14: 7, 954-970.

2. Ji, J., Chao, N., & Ding, J. (2019). Rumormongering of genetically modified (GM) food on Chinese social network. Telematics and Informatics, 37, 1-12.

1. Zhang, J., Calabrese, C., Ding, J., Liu, M., & Zhang, B. (2017). Advantages and Challenges in Using Mobile Apps for Field Experiments: A systematic review and a case study. Mobile Media and Communication, 6, 179-196.

Awards

Data Incubator Summer Fellowship, 2018 Summer, UC Davis, Data Science Initiative

STRIDE Incubator Data Training Program for my research proposal, "Who are retweeting vaccine misinformation on Twitter? Dissemination of vaccine misinformation on Twitter," Data Science Initiative, UC Davis

Conference Travel Grant ($800), 2018 June, UC Davis, Department of Communication

Conference Travel Grant ($800), 2016 November, UC Davis, Department of Communication