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Dr. Ihsan Ayyub Qazi @ LUMS

Associate Professor of Computer Science

Syed Babar Ali School of Science & Engineering

Lahore University of Management Sciences (LUMS)

[CV] [Email] Phone: +92 42 35608368

I'm broadly interested in researching networked systems and their societal impacts. My current research centers on digital development & equity, countering misinformation, cloud/edge computing and the interplay between technology and public policy.

Research: Cognitive Reflection & Misinformation

Research: Rethinking Web for Affordability

What ChatGPT means for Higher Education?

August 202[ACL]: We developed a novel Urdu deepfake audio dataset targeting two spoofing attacks (Tacotron, VITS TTS). The dataset construction involves careful consideration of phonemic cover and balance. AASIST-L evaluation yields EERs of 0.495 (TTS) and 0.524 (Tacotron), with speaker variation. A human study shows limited detection ability, with 1 in 3 fake samples mistaken as real. Our work aids deepfake detection in low-resource languages, bridging critical gap in existing datasets.

June, 202[Journal of Development Economics]: Misinformation is a growing concern in developing countries with potentially far-reaching consequences. We evaluate whether educational interventions improve discernment of news using a randomized control trial. We find no effect of video-based general educational messages. However, when such video messages is combined with personalized feedback, accuracy rate improves. You can read the full paper here.

September, 2022  [ACM IMC]: Today, more than 200 million users use Android Go, a mobile operating system for entry-level smartphones. Yet little is known about its impact on mobile Web performance. We conducted the first empirical study about the causal impact of Android Go using controlled experiments and a set of methodological approaches from the econometrics literature.

July, 2022  [Harvard Kennedy Misinformation Review]: The uncertainty surrounding the COVID-19 pandemic was fueled by the COVID-19 “infodemic.” We evaluated the relationship between individual differences in cognitive reflection and the ability to discern between true and false COVID-19 information using a random sample of 621 low- and middle-income users in Pakistan. We find that higher cognitive reflection test scores are associated with greater truth discernment for COVID-19 headlines, less trust but greater use of formal information sources, and greater demand for KN95 masks

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