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Project Ideas for Master of Arts in Journalism

Story-first MA pairing drone viz, AI fact-checks & data-scraping labs.

🏛 Introduction

USC Annenberg’s MA in Journalism fuses shoe-leather reporting with GPU-grade verification. Students fly Part-107 drones over post-fire landscapes, parse gigabyte-sized PDF troves with Tabula, and build LLM-powered debunking bots that cross-match images against deep-fake fingerprints. Newsroom rotations push packages to TikTok while Bloomberg BQuant terminals feed Datawrapper infographics. Ethics sprints stress-test deep-fake voiceovers, and community desks partner with Spanish-language radio to amplify hyper-local beats. Reporters graduate ready to chase FOIAs and fight algorithmic misinformation in equal measure.

💡 Suggested Project Titles

Open-source Chrome plug-in flagging GAN artifacts in images

Interactive map of campaign-finance flows using FEC APIs

Podcast mini-season on whistle-blower protections worldwide

Natural-language script that flags PR spin via sentiment polarity

Dashboard monitoring real-time police-scanner NLP topic clusters

VR reconstruction of a historic newsroom to teach libel law

Mobile app gamifying local-news consumption with push tasks

Data-journalism deep dive on eviction trends post-COVID

AI voice-clone ethics explainer in multilingual package

Open-data scraping pipeline scheduled with GitHub Actions

Hackathon toolkit for documenting protests with secure metadata

Carbon-footprint audit comparing Zoom vs. fly-out interviews

Sentiment shift in public-comment periods visualized with D3

Machine-vision photogrammetry of coastal erosion for feature story

Policy brief on deep-fake criminalization statutes

USC – MA in Journalism

Break news ethically and innovatively in an algorithmic age.

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