معرفی
Laeeq Khan is an Associate Professor in the School of Media Arts & Studies at the Scripps College of Communication, Ohio University. He is the founding director of the Social Media Analytics Research Team (SMART) Lab and is affiliated with the Communication and Development program and the Infectious and Tropical Disease Institute. His research integrates computational social science, data analytics, and communication theory to address pressing societal issues.
Education:
- Ph.D., Michigan State University
- MBA, Murray State University
- M.S., Murray State University
His research interests center on social media analytics, data mining, misinformation, health communication, and crisis communication. He employs mixed-methods approaches, including experiments, surveys, interviews, and advanced data analytics, to study audience engagement, digital divides, and public responses to health and political messaging. His work is grounded in theories like Uses and Gratifications (U&G) and focuses on making data science accessible to diverse audiences.
The recent publications highlight a strong trend in AI and digital media, particularly audience behavior around ChatGPT content on YouTube, credibility in health messaging on social media, and the role of AI in higher education. His research spans health, education, politics, and humanitarian contexts, often supported by major funders like USAID, NSF, and the Gates Foundation.
Scientific Awards:
- Multiple awards for research and journalism
- Teaching excellence award
Khan actively advises students and leads research teams at the SMART Lab. He has secured competitive grants from USAID, the National Science Foundation (NSF), and the Bill & Melinda Gates Foundation. His projects often involve interdisciplinary collaboration and real-world impact, such as training for the AHA Centre and consulting for startups and government organizations.
He leads the SMART Lab, where interdisciplinary research teams investigate health informatics, misinformation, crisis communication, and media effects using cutting-edge data analytics tools. The lab serves as a hub for student research, innovation, and community engagement.
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