You Li
Associate Professor of Journalism
School of Communication, Media & Theatre Arts
121 Judy Sturgis Hill Building
Education
- Ph.D. in Journalism, University of Missouri-Columbia
- MA in Journalism, University of Missouri-Columbia
- BA in International Journalism, Shanghai International Studies University
Interests and Expertise
Dr. You Li is an Associate Professor of Journalism at Eastern Michigan University. Her research interests
include media history, media sociology, and media management. Her research traces the historical and
contemporary evolvement of journalism with a particular emphasis toward the tension between the
autonomous and heteronomous forces that shape and challenge journalism. Dr. Li’s research draws
theories from sociology, management, and journalism, and uses both qualitative and quantitative
methods. Her current projects examine how the integration of new editorial and business practices in the
field of journalism, such as the rise of native advertising and participatory culture, may have affected
journalistic autonomy and further blurred the boundaries between journalism and other social institutions.
With these projects, Dr. Li hopes to help preserve the public service mission of quality journalism in the
digital age.
Before coming to Eastern, Dr. Li worked at the newsrooms of The Columbia Missourian in Columbia,
M.O., the Fortune magazine in New York City, and the Shanghai Media Group in China.
Courses
- JRNL213: Introduction to Journalism
- JRNL215: News Writing and Reporting
- JRNL310: Digital Journalism
- JRNL313: History of American Journalism
- JRNL453: Advanced Reporting
Publications and Presentations
- Li, Y. & Wang, Y. (2022). Native Advertising on News Websites: The Impacts of Media Organizational Factors on Disclosure Clarity. Digital Journalism. Accepted for publication in April. http://dx.doi.org/10.1080/21670811.2022.2055597
- Li, Y. (2022). The integration of native advertising in journalism and its impact on the news-advertising boundary. In Scott Eldridge II and Patrick Ferrucci (Eds.), The institutions changing journalism: Barbarians inside the gate. Abingdon: Routledge.
- Li, Y. (2021). Assessing the role performance of solutions journalism in a global pandemic. Journalism Practice. Published online first on October 25, 2021. https://doi.org/10.1080/17512786.2021.1990787
- Li, Y. (2019). The role performance of native advertising in legacy and digital-only news media. Digital Journalism. Published online first on February 13, 2019. https://doi.org/10.1080/21670811.2019.1571931
- Li, Y. & Wang, Ye. (2019). Brand disclosure and source partiality affect native advertising recognition and media credibility. Newspaper Research Journal, 40 (2): 1-18. First published online on August 19, 2019. https://journals.sagepub.com/doi/abs/10.1177/0739532919849472?journalCode=nrja
- Li, Y. (2019). Contest over authority: Navigating native advertising’s impact on journalistic authority. Journalism Studies, 20 (4): 523-541. https://doi.org/10.1080/1461670X.2017.1397531
- Li, Y. & Thorson, E. (2018). Converting cultural capital into economic capital: A hybrid newspaper's content management and performance during economic turbulence. Journal of Media Business Studies, 15(1): 1-23. https://doi.org/10.1080/16522354.2018.1445159
- Wang, Y. & Li, Y. (2017). Understanding “native advertising” from the perspective of communication strategies. Journal of Promotion Management, 23 (6): 913-929. http://dx.doi.org/10.1080/10496491.2017.1323264
- Li, Y. & Thorson, E. (2015). Increasing news content and diversity improves revenue. Newspaper Research Journal, 36(4), 392-398. http://nrj.sagepub.com/content/36/4/382.short
- Li, Y. & Hellmueller, L. (2017). Constructing News with Audience: A Longitudinal Study of CNN’s Integration of Participatory Journalism. The Routledge Companion to Digital Journalism Studies. Ed. Bob Franklin and Scott Eldridge II. Conference Presentation (Peer-reviewed).
- Li, Y., Wang, Y., Lee, Y., Chen, H., Petri, A., Cha, T. (2021). Teaching data science through storytelling: Improving undergraduate data literacy. The paper was accepted for presentation at the Scholastic Journalism Division at the 104th annual convention of the Association for Education in Journalism and Mass Communication (AEJMC), August 6.
- Li. Y. (2021). Assessing the role performance of solutions journalism during a global pandemic. The paper was accepted for presentation at the International Communication Division at the 104th annual convention of the Association for Education in Journalism and Mass Communication (AEJMC), August 3.
- Li, Y. & Wang, Y. (2019). Understanding the typology of native advertising on news websites. The paper was presented to the Newspaper and Online News Division at the 102nd annual convention of the Association for Education in Journalism and Mass Communication, Toronto, Canada, August 9.
- Li, Y. & Wang, Y. (2019). Understanding the typology of native advertising on U.S. news websites. In: Methodological considerations in measuring recognition of native advertising in digital news context at the 69th Annual International Communication Association (ICA) Conference, Communication Beyond Boundaries, Washington D.C., May 27.
- Li, Y. (2018). Understanding the role performance of native advertising on news media sites. The paper was presented to the Newspaper and Online News Division at the 101st annual convention of the Association for Education in Journalism and Mass Communication, Washington D.C., August 6.
- Li, Y. (2017). Contest over authority: Navigating native advertising’s impact on journalistic authority. The paper was presented to the Newspaper and Online News Division at the 100 th annual convention of the Association for Education in Journalism and Mass Communication, August 11.
Grants, Honors and Awards
- 2016 New Faculty Research Award
- 2017 Summer Research Award
- 2018 Women in Philanthropy Award
- 2019 Summer Research Award
- 2020 National Science Foundation-sponsored CUE Ethics: Open Collaborative Experiential Learning (OCELA1): Bridging Digital Divides in Undergraduate Education of Data Science
- 2021 Summer Research Award