Luca Luceri
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luceriluc.bsky.social
Luca Luceri
@luceriluc.bsky.social

Research Assistant Professor @USC-ISI
πŸ€– I investigate malicious activity on social media networks πŸ•΅πŸΌ

Computer science 34%
Communication & Media Studies 18%

Great collab w/ Gian Marco Orlando, @jinyiye.bsky.social, Valerio La Gatta, Mahdi Saeedi, Vincenzo Moscato, and
@emilioferrara.bsky.social

πŸ“„ Paper: arxiv.org/pdf/2510.25003
πŸ“Š Interactive Dashboard: llmxio-dashboard.vercel.app

⚠️ Significant implications for AI safety, platform governance, and digital influence ecosystems.

🧭 Curious how this plays out? An interactive dashboard lets you inspect agent behaviors, network evolution, and coordination dynamics directly.

As coordination emerges:
- Malign agents' networks become denser & more clustered;
- Interactions grow more reciprocal & increasingly positive;
- Narratives converge toward greater semantic homogeneity;
- Amplification becomes synchronized.

✨ TL;DR:
Give AI agents just a bit of awareness of their β€œteammates,” and they begin to self-organize. No scripts. No central command. JustΒ networked AI learning how to act together.
🚨 New preprint 🚨
Can AI agents coordinate influence campaigns without human guidance? And how does coordination arise among AI agents? In our latest research, we simulate LLM-powered AI agents acting like users on an online platform, some benign, some running an influence operation

Reposted by Luca Luceri

Reposted by Luca Luceri

Reposted by Luca Luceri

New paper + interactive dashboard on the 2024 election information ecosystem.
Building on discourse networks work with @hanshanley.bsky.social @luceriluc.bsky.social @emilioferrara.bsky.socialβ€”this lets us visualize the online landscape as a unified system, rather than isolating each platform.

πŸŽ–οΈBest student paper honorable mention for our @zhiyi-chen.bsky.social & @jinyiye.bsky.social πŸŽ–οΈ

Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X | Proceedings of the 36th ACM Conference on Hypertext and Social Media

dl.acm.org/doi/10.1145/...
Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X | Proceedings of the 36th ACM Conference on Hypertext and Social Media
dl.acm.org

Reposted by Luca Luceri

Coverage of our latest work!

Online β€˜likes’ for toxic social media posts prompt more βˆ’ and more hateful βˆ’ messages

https://theconversation.com/online-likes-for-toxic-social-media-posts-prompt-more-and-more-hateful-messages-218220

Reposted by Luca Luceri

🚨Our new paper is on arXiv! We’re excited to share 26 state-backed information operation (IO) datasets, each paired with a robust control set of 13M+ posts in total from non-IO accounts. You can reach the dataset here: zenodo.org/records/1418...
Labeled Datasets for Research on Information Operations
Labeled Datasets for Research on Information Operations Compliance with Platform Terms To comply with the platform terms, we ask that you download one data file per researcher, per day. By requesting ...
zenodo.org

Reposted by Luca Luceri

Are your friends more susceptible to influence than you? Our new work in #ICWSM2025 uncovers The Susceptibility Paradox in online social influence.
w/ @luceriluc.bsky.social , Julie Jiang, @emilioferrara.bsky.social
Explore our findings: arxiv.org/abs/2406.11553

Reposted by Luca Luceri

"IOHunter: Graph Foundation Model to Uncover Online Information Operations" goes to AAAI'25!
This is the result of an incredible collaboration with @luceriluc.bsky.social @frafabbri.bsky.social and @emilioferrara.bsky.social

Read the entire thread for a summary and the link to the preprint.

Reposted by Luca Luceri

πŸš€ First study on multimodal AI-generated content (AIGC) on social media! TLDR: AI-generated images are 10Γ— more prevalent than AI-generated text! Just 3% of text spreaders and 10% of image spreaders drive 80% of AIGC diffusion, with premium & bot accounts playing a key roleπŸ€–πŸ“’

Reposted by Luca Luceri

Canadians bombarded with rightwing online content ahead of voting

https://www.ft.com/content/743c1dec-0c5c-4c39-a940-830ce156c235
Canadians bombarded with rightwing online content ahead of voting
FT analysis finds network of X accounts attacking Liberal leader Mark Carney
www.ft.com

Reposted by Luca Luceri

Big news from #ICWSM2025!

"The Susceptibility Paradox in Online Social Influence” by @luceriluc.bsky.social, @jinyiye.bsky.social, Julie Jiang & @emilioferrara.bsky.social was named a Top 5 Paper & won Best Paper Honorable Mention!

πŸ‘ Congrats to all!

Reposted by Luca Luceri

It was a pleasure to present our research at @icwsm.bsky.social in Copenhagen with many friends and colleagues!
Don't miss our work with @frapierri.bsky.social, Stefano Cresci, @luceriluc.bsky.social, @pettertornberg.com and @silviagiordano.bsky.social here: ojs.aaai.org/index.php/IC...

Reposted by Luca Luceri

Reposted by Luca Luceri

So satisfying to have some evidence that Elon Musk is wildly promoting himself on X.

Researchers made 120 sock puppet accounts to see whose content is getting pushed on users. #FAccT2025

@jinyiye.bsky.social @luceriluc.bsky.social @emilioferrara.bsky.social

doi.org/10.1145/3715...

Reposted by Luca Luceri

What does coordinated inauthentic behavior look like on TikTok?

We introduce a new framework for detecting coordination in video-first platforms, uncovering influence campaigns using synthetic voices, split-screen tactics, and cross-account duplication.
πŸ“„https://arxiv.org/abs/2505.10867

Chatted with @laist.com LAist’s AirTalk about our ongoing work on AI-generated content, how it spreads on social media, and how people respond to it (arxiv.org/pdf/2502.11248)

Give it a listen here: laist.com/shows/airtal...
What’s gonna happen with the Tustin hangar?
Today on AirTalk, LAist reporter Yusra Farzan gives us an update on the Tustin Hangar; how AI influences our social media feeds; the current state of conspiracy theories; Jackie and Shadow’s eaglets g...
laist.com

@isi.edu squad at The Web Conference 2025

@federicocinus.bsky.social presenting our paper on the detection of coordinated inauthentic behavior across platforms at The Web Conference

Visit our poster today at 2:45pm:
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
arxiv.org/pdf/2410.22716

"Limited effectiveness of LLM-based data augmentation for COVID-19 misinformation stance detection" by @euncheolchoi.bsky.social @emilioferrara.bsky.social et al, presented by the awesome Chur at The Web Conference 2025

arxiv.org/abs/2503.02328

"Limited effectiveness of LLM-based data augmentation for COVID-19 misinformation stance detection" by @euncheolchoi.bsky.social @emilioferrara.bsky.social et al, presented by the awesome Chur at The Web Conference 2025

arxiv.org/abs/2503.02328

Rachel Kim and @ashtonanderson.bsky.social showing that issues are more polarized in the consumption of social media content than in its production, and with greater intensity compared to traditional media @The Web Conference 2025

dl.acm.org/doi/pdf/10.1...