USC Annenberg’s Communication PhD arms scholars with R scripts and rhetoric alike. Projects scrape TikTok APIs into Neo4j graphs, run transformer stance‑detection on Congressional hearings, and deploy lab experiments measuring algorithmic news avoidance. Policy fellows draft FCC transparency filings, while teaching apprentices convert sentiment heat‑maps into lecture ice‑breakers. Graduates shape scholarship and regulation at once.
Graph neural‑net spotting coordinated inauthentic behavior
LLM summarizer of EU DSA transparency reports
Sentiment shift detection on crypto‑Twitter pump schemes
Bias audit of ad‑target look‑alike models
Real‑time toxicity monitor for esports chat
D3 flow‑viz of news‑link ecosystems by state
Zero‑shot rumour tracker for disaster response
Synthetic social‑media dataset under ε‑DP budgets
Podcast analytics mapping listener drop‑offs
Policy memo on algorithmic amplification disclosures
Multilingual meme velocity predictor using LSTM
AR newsroom wall visualizing hashtag cascades
Field experiment on push‑notification nudge framing
Comparative study of influencer regulation across ASEAN
Topology of echo chambers in encrypted messaging apps
Decode and design the flows of information shaping society.
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