Scholar

Luca Luceri

H-index: 14
Computer science 34%
Communication & Media Studies 18%
luceriluc.bsky.social
🎖️Best student paper honorable mention for our @zhiyi-chen.bsky.social & @jinyiye.bsky.social 🎖️

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

emilioferrara.bsky.social
Coverage of our latest work!

Online ‘likes’ for toxic social media posts prompt more − and more hateful − messages

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

Reposted by: Luca Luceri

jinyiye.bsky.social
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

marcominici.bsky.social
"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

zhiyi-chen.bsky.social
🚀 First study on multimodal AI-generated content (AIGC) on social media! TLDR: AI-generated images are 10× 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 role🤖📢

Reposted by: Luca Luceri

isi.edu
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!

👏 Congrats to all!

Reposted by: Luca Luceri

gianluca99.bsky.social
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

mellymeldubs.bsky.social
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...
Box and whisker plot showing the top 20 recommended accounts across "neutral" sock puppet accounts. Elon Musk is most recommended. Box and whisker plot showing the top 20 recommended accounts across "left-leaning" sock puppet accounts. Elon Musk is most recommended. Box and whisker plot showing the top 20 recommended accounts across "right-leaning" sock puppet accounts. Elon Musk is most recommended by far.

Reposted by: Luca Luceri

luceriluc.bsky.social
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.
📄https://arxiv.org/abs/2505.10867
luceriluc.bsky.social
@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
luceriluc.bsky.social
"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
luceriluc.bsky.social
"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
luceriluc.bsky.social
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...
luceriluc.bsky.social
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...
luceriluc.bsky.social
@jlenti.bsky.social presenting his causal model on climate activism on Reddit at The Web Conference

Brilliant work in collaboration with @c0rrad0.bsky.social @lajello.bsky.social @gdfm.bsky.social

arxiv.org/abs/2410.10562
luceriluc.bsky.social
Fascinating work by Marian-Andrei Rizoiu’s group on modeling behavioral homophily through inverse reinforcement learning at The Web Conference

arxiv.org/abs/2502.02943
luceriluc.bsky.social
Amazing talk on affective polarization by our own (incredibly elegant) @ashwinrao.bsky.social at The Web Conference 2025

Reposted by: Luca Luceri

isi.edu
ISI’s Luca Luceri partnered with Financial Times to uncover a coordinated online campaign influencing Canadian voters.

Read about it here: bit.ly/3Sb598U

@luceriluc.bsky.social @usc.edu @viterbischool.usc.edu

References

Fields & subjects

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