My research examines how generative artificial intelligence is transforming visual media, audience perception, authenticity, and public discourse. I am particularly interested in how people interpret and trust images, performances, and historical representations in an era when visual content can be created, altered, or circulated through AI systems.

My work brings together computational social data analysis, audience research, film studies, and creative practice. I study digital conversations across platforms such as YouTube, Instagram, and LinkedIn to understand how audiences, creators, and media professionals frame questions of trust, identity, ethics, and representation.

As a filmmaker and media scholar, I approach research as both analytical and creative. My projects connect scholarly investigation with film practice, exploring how emerging technologies shape storytelling, cultural memory, and the ways people understand visual truth.

#Generative AI & Visual Media

#Human Cognition

#Audience Reception

#Authenticity & Trust

#Digital Culture

#Social Data Analysis

#Film & Media Studies

#Historical Representation

#Deepfakes & Synthetic Media

#Creative Practice Research

Framing AI in Filmmaking

A comparative social data analysis of Instagram and LinkedIn discourse about AI, filmmaking, creative labor, and professional identity.

AI, Trust, and Audience Perception

Research examining how audiences respond to AI-generated visual content and how synthetic media affects trust, authenticity, and interpretation.

Deepfakes and Historical Representation

A creative research project exploring how AI-generated imagery complicates authorship, performance, identity, and the portrayal of historical figures.