USC Information Sciences Institute

Luca Luceri

Research Assistant Professor & Lead Scientist · Founder & CEO, dotNex

Director of the SIGNALS Lab at USC ISI. Research at the intersection of machine learning, network science, and computational social science — advancing the safety and resilience of AI-mediated information environments. He is also Founder and CEO of dotNex, an AI-powered threat intelligence company countering coordinated influence operations.

Coordinated Inauthentic Behavior Multi-Agent AI Systems Network Science Information Integrity Computational Social Science

Core Research Areas

Building scientific foundations for trustworthy, accountable AI systems and governance-relevant measurement tools that bridge technical findings and policy.

Influence Operations & Information Integrity

Developing AI-driven behavioral models to detect coordinated inauthentic behavior, identify cross-platform narrative manipulation, and uncover LLM-powered influence campaigns threatening democratic discourse.

Multi-Agent AI Systems

Studying emergent collective behaviors in networked LLM agents, including how strategic coordination arises and how it can be governed in AI-driven information environments.

Trustworthy & Accountable AI

Building governance-relevant measurement tools that bridge technical findings and policy, enabling transparent content moderation and regulation of social media at scale.

dotNex

Translating a decade of influence-operations research into deployable threat intelligence.

dotNex
dotnex.ai

Luca is Founder and CEO of dotNex, an AI-powered threat intelligence company that detects and counters coordinated influence operations. dotNex focuses on video-first platforms — TikTok, Reels, and Shorts — where inauthentic coordination is hardest to surface with existing tooling, giving governments, platforms, and organizations the means to move from detection to response.

Visit dotnex.ai →

About

Luca Luceri is a Research Assistant Professor at USC and Lead Scientist at ISI, where he directs the SIGNALS Lab. His research sits at the intersection of machine learning, network science, and computational social science, with a focus on understanding and mitigating emergent harmful behaviors in complex socio-technical and AI-driven systems. His work advances the safety and resilience of AI-mediated information environments, including detection and measurement frameworks for coordinated inauthentic behavior, influence operations, and the spread of harmful content across human and AI agent networks. His long-term research agenda centers on building the scientific foundations for trustworthy, accountable AI systems, including governance-relevant measurement tools that bridge technical findings and policy. He is also the Founder and CEO of dotNex, where this research is translated into operational threat intelligence.

SIGNALS Lab
signals-lab.vercel.app

Luca leads the SIGNALS Lab at USC ISI, mentoring 7 PhD students and 6 master's and undergraduate researchers. The lab's work spans coordinated behavior detection, multi-agent AI safety, and computational social science, with active collaborations across academic, defense, and policy communities.

dotNex
dotnex.ai

Founder & CEO, dotNex — an AI-powered threat intelligence company detecting and countering coordinated influence operations, with a focus on video-first platforms such as TikTok, Reels, and Shorts. dotNex builds on years of research into coordinated inauthentic behavior, turning academic detection methods into tools that organizations can act on.

Education

Ph.D. in Computer Science (insigni cum laude)

University of Bern, Switzerland

2015 – 2020

M.Sc. Telecommunication Engineering (110/110 cum laude)

Polytechnic University of Milan, Italy

2012 – 2014

B.Sc. Telecommunication Engineering (110/110 cum laude)

Polytechnic University of Bari, Italy

2009 – 2012

Academic Positions

Research Assistant Professor & Lead Scientist

USC Thomas Lord CS Dept. & ISI

July 2024 – present

Research Scientist

USC Information Sciences Institute

May 2023 – June 2024

Postdoctoral Research Associate

USC Information Sciences Institute

March 2022 – April 2023

Head of Network Science Research Unit

SUPSI, Lugano, Switzerland

March 2020 – February 2022

Visiting Graduate Student

USC Information Sciences Institute

September 2018 – June 2019

Invited Talks & Keynotes

2026

The Science of Social Media Manipulation — William Fulbright Association

2026

Keynote — Graph-enhanced LLMs for trustwOrthy Web data management (GLOW), The Web Conference

2026

Modeling and Improving Online Dialogue — Workshop at UCR

2026

Panel "Frontiers of Technology" — IPA Pinnacle Conference

2025

Digital Social Trust — Japan Science and Technology Agency

2025

Generative AI and Information Science — Rakuten HQ

2025

Election Cybersecurity in the Age of AI — USC Center on Communication Leadership and Policy

2025

Center for an Informed Public — University of Washington

2025

State of the Science: Digital Media and Addiction — Institute for Addiction Science

2025

Content Moderation in the Generative AI Era — COMPASS at ICWSM 2025

2024

Fake Videos and Election Security — USC Center on Communication Leadership and Policy

2024

Online Trust & Safety Day — The Web Conference 2024

2023

AI Seminar "Awesome Speaker" — Indiana University

2023

Research Seminar — University of Notre Dame

Selected Awards & Recognition

  • 🏆
    Best Paper Award Honorable Mention — The Susceptibility Paradox, ICWSM 2025
    May 2025
  • 🏆
    Best Student Paper Award Honorable Mention — Synthetic Politics, ACM HyperText 2025
    Sep 2025
  • 🏆
    Embassy of Italy Young Investigator Award for Research in Artificial Intelligence
    Nov 2024
  • 🏆
    Best Paper Award (×2) — BeyondFacts'24 & Multimodal Content Analysis Workshop, The Web Conference 2024
    May 2024
  • 🏆
    Best Presentation Award — Workshop on Multimodal Content Analysis, The Web Conference 2024
    May 2024
  • 🏆
    Best Student Paper — issued by Facebook, The Web Conference Workshop 2019
    May 2019

Teaching

Introduction to Computational Thinking and Data Science

USC · Spring 2024, 2025, 2026

Data Science for Communication & Social Networks

USC · Fall 2024, 2025

Media Coverage

Selected coverage of research on misinformation, social media manipulation, AI, and information integrity.

The New York Times

The New York Times

Those Soldiers Flooding Your Feeds? They Might Not Be Real

The New York Times

The New York Times

Facebook Has a Health Scam Problem

CNN

CNN

Foreign influence campaigns on AI

TIME

TIME

Why Meta's Fact-Checking Change Could Lead to More Misinformation on Facebook and Instagram

Financial Times

Financial Times

Canadians bombarded with rightwing content on Musk's X ahead of election

NBC News

NBC News

X's new location labels unmask users

The Korea Herald

The Korea Herald

Right-wing bill to combat influence operations sparks debate

AirTalk — LAist

AirTalk — LAist

AI Series: How has it influenced our experience on social media?

Nikkei

Nikkei

Meta: Why abolish truth-checking now?

New York Post

New York Post

Social media trolls are inspired by 'likes' — not hate: study

The Conversation

The Conversation

Online 'likes' for toxic social media posts prompt more — and more hateful — messages

TechXplore

TechXplore

Researchers are creating science-backed tools to improve social media content moderation policies

Tech Policy Press

Tech Policy Press

Using science to guide social media regulation

ANSA

ANSA

Italy-USA: ISSNAF event, Young Investigator Awards

CNBC

CNBC

Twitter bots were more active than previously known during the 2018 midterms

The Irish Times

The Irish Times

How malicious Twitter bots evolve to evade detection

Defense One

Defense One

Twitter Bots Are Becoming More Human-Like: Study

Silicon Republic

Silicon Republic

Bots harder to discern from humans have multiplied in online 'arms race'

EurekAlert

EurekAlert

Bots might prove harder to detect in 2020 elections

The Baltimore Sun

The Baltimore Sun

Get ready for more humanlike bots, better deep-fake videos and wall-to-wall disinformation

Lugano Digital Day

Lugano Digital Day

How youth deal with fake news (video)

Contact

For research collaborations, media inquiries, or general correspondence.

SIGNALS Lab
signals-lab.vercel.app

SIGNALS Lab — USC ISI

For lab inquiries, student supervision, and collaboration opportunities, visit signals-lab.vercel.app ↗

Email

lluceri@isi.edu

USC Information Sciences Institute

Website

luceriluc.it ↗

Personal academic website

Publications

Google Scholar ↗

Full list of publications & citations

dotNex

dotnex.ai ↗

Founder & CEO — threat intelligence

SIGNALS Lab

signals-lab.vercel.app ↗

Lab website, team & projects

Affiliation

USC Information Sciences Institute (ISI)
4676 Admiralty Way, Suite 1001
Marina del Rey, CA 90292, USA

Also affiliated with the USC Thomas Lord Department of Computer Science, Los Angeles, CA.

Online Profiles