Co-run by Viterbi and Annenberg, USC’s MS-CDS trains analysts to map influence at Internet scale. Students fine-tune transformers for multilingual sentiment, scrape TikTok APIs into Neo4j graphs, and design social listening dashboards that surface meme velocity in sub-hour windows. An Ethics spine red-teams algorithms for demographic bias, while a Policy practicum drafts platform transparency reports aligned with the EU Digital Services Act. Graduates translate packets into persuasion—with accountability.
Graph neural net detecting coordinated inauthentic behavior
LLM summarizer of congressional hearings in 280 characters
Sentiment-shift detection on crypto-Twitter pump schemes
Dashboard comparing Reels vs. Shorts meme velocities
Fairness audit of ad-targeting look-alike models
Policy brief on algorithmic amplification disclosures
Real-time toxicity monitor for esports chat streams
TikTok sound meme trend predictor using LSTM
D3.js flow viz of news link ecosystems across states
Zero-shot stance detection on public-comment corpora
Synthetic social-media dataset under ε-DP budgets
AR newsroom wall visualizing hashtag cascades
Podcast analytics toolkit mapping listener drop-offs
Bias heat-map comparing stable-diffusion prompt outputs
Multi-lingual rumor-tracking bot for disaster response
Decode networks and narratives powering the attention economy.
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