jinyiye.bsky.social
Jinyi Ye
@jinyiye.bsky.social
170 followers 87 following 2 posts
PhD student at USC CS | Computational Social Science, AI for Social Science, Social Networks | Ex TsinghuaU, MSR Asia
Posts Media Videos Starter Packs
jinyiye.bsky.social
Jinyi Ye @jinyiye.bsky.social · Feb 21
The first large-scale investigation of multimodal AIGC on social media!
📄Pre-print: arxiv.org/abs/2502.11248
📷We made our resources available, including 2M+ labeled images - visit: github.com/angelayejinyi/AIGC-Election-2024
zhiyi-chen.bsky.social
Zhiyi Chen @zhiyi-chen.bsky.social · Feb 21
🚀 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🤖📢
1 3
jinyiye.bsky.social
Jinyi Ye @jinyiye.bsky.social · Dec 12
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
2 6
Reposted by Jinyi Ye
emilioferrara.bsky.social
Emilio Ferrara @emilioferrara.bsky.social · Nov 18
A rent paper has been portrayed in the news as proof that Twitter/X new #recsys favors republicans.

In our latest work, collecting millions of datapoints via 120 sock puppets, we should the reality is much more complex: you would be surprised by our findings:
arxiv.org/abs/2411.01852

thread 1/n
Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X Approaching the 2024 U.S. Presidential Election
Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: what political content are users exposed to beyond...
arxiv.org
13 37 87