LYNN (LIN) ZHANG
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Lynn Zhang, PhD

Quantitative UX Researcher @Google​
Former Psychology Ph.D. Student@

University of Southern California
Contact:[email protected]
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      I am a Quantitative UX Researcher at Google. I use quantitative methods such as log analysis, experiments, and surveys to deliver insights and improve user experience of Google Cloud products. 
        
       Prior to joining Google, I worked with Dr. Norbert Schwarz at the Mind and Society Center at the University of Southern California. My academic
interest was in the intuitive nature of judgment and how it can be influenced by subjective experiences of ease and difficulty. My doctoral work focused on intuitions of truth and beauty, which involves a series of projects that investigated how metacognitive experiences influence the way people assess the truth of claims, the trustworthiness of people, the persuasiveness of messages, and the appeal of visual materials. I used this work to shed light on designing effective persuasive messages and combating biases and misinformation. 
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        Prior to joining the Mind and Society Center at USC, I worked in the Social Cognition Lab at Indiana University, under the advisement of Dr. Steven (Jim) Sherman. 


FEATURED PUBLICATIONS

Why do photos make claims seem more true?
Research Article 

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​Zhang, L., Newman, E. J., & Schwarz, N. (2021). When photos backfire: Truthiness and falsiness effects in comparative judgements. Journal of Experimental Social Psychology, 92, 104054. https://doi.org/10.1016/j.jesp.2020.104054.

How do non-diagnostic photos bias belief?
Book Chapter

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Newman, E.J., & Zhang, L. (2020). Truthiness: How non-probative photos shape belief. In Greifeneder, R., Jaffé, M., Newman, E., & Schwarz, N. (Eds.), The psychology of fake news: Accepting, sharing, and correcting misinformation (pp. 90-114). London, UK: Routledge.
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​ResearchGate
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