Nature Communications2026
About me
I study how information spreads online and how digital platforms can become more trustworthy. I am currently a postdoctoral researcher at the University of Luxembourg, working on misinformation, community-based fact-checking, and platform governance.
Trained in computer science and information systems, I combine causal inference with large-scale digital trace data, network analysis, LLM-based measurement, and experiments. My first-author publications have appeared in leading interdisciplinary venues such as Nature Communications, CHI, WWW, CSCW, and ICWSM. These studies provide some of the first large-scale empirical and causal evidence on the effectiveness, limitations, and behavioural consequences of community-based fact-checking systems. Additionally, my work has attracted international media attention through coverage in MIT Technology Review, The Washington Post, and New Scientist, and informed discussions surrounding platform governance and content moderation.
Current workCausal evaluation of location transparency feature on X (with Thomas Renault, David Rand, Mohsen Mosleh); the effect of community notes on misinformation producers (with Thomas Renault, Nicolas Pröllochs, Gabriele Lenzini, Mohsen Mosleh).
Research interests
- Platform governance
- Misinformation, community-based fact-checking, and content moderation.
- Cross-platform information
- Information diffusion and systemic risk across digital platforms.
- Human–AI collaboration
- AI and LLM evaluation, and tools that support collaborative fact-checking.
News
New preprintLatest
We studied X's location transparency feature and found it can reduce activity by accounts misrepresenting their location. Read our preprint on arXiv.
New preprint
The downstream effects of community notes on misinformation producers are divergent. Read our preprint on arXiv
EMNLP 2026
One paper accepted in the EMNLP 2026 main conference, to be held in Budapest, Hungary from October 24–29, 2026.
ICWSM 2027
One paper accepted at ICWSM 2027, to be held in Edinburgh, Scotland.
WWW 2026
Oral presentation at WWW 2026.
Selected publications
Google Scholar- Community-based fact-checking reduces the spread of misleading posts on X (formerly Twitter): Paper
- Consensus stability of community notes on X: Paper
The Web Conference2026Consensus stability of community notes on X
Request a note: How the request function shapes X’s Community Notes system: Paper - From news source sharers to post viewers: How topic diversity and conspiracy theories shape engagement with misinformation during a health crisis: Paper
PACM HCI · CSCW2025From news source sharers to post viewers: How topic diversity and conspiracy theories shape engagement with misinformation during a health crisis
- Is fact-checking politically neutral? Asymmetries in how US fact-checking organizations pick up false statements mentioning political elites: Paper
AAAI · ICWSM2025Is fact-checking politically neutral? Asymmetries in how US fact-checking organizations pick up false statements mentioning political elites
- Community fact-checks trigger moral outrage in replies to misleading posts on social media: Paper
ACM CHI2025Community fact-checks trigger moral outrage in replies to misleading posts on social media
- Did the roll-out of Community Notes reduce engagement with misinformation on X/Twitter?: Paper
PACM HCI · CSCW2024Did the roll-out of Community Notes reduce engagement with misinformation on X/Twitter?
† Corresponding author
A full list of publications and working papers is available on Google Scholar.
Published models
Hugging Face- Multilingual Community Notes topic classifier: Model
Text Classification
Multilingual Community Notes topic classifier
TwHIN-BERT fine-tuned to assign zero or more of ten topics to a post and its associated Community Note summaries.
Appointments & visits
May 2026 — Present
Postdoctoral Researcher
University of Luxembourg
SnT · CLARITY project
Dec 2025 – Mar 2026
Oct 2026 – Present
Visiting Research Fellow
University of Oxford
Oxford Internet Institute · Host: Prof. Mohsen Mosleh
Jun — Sep 2025
Visiting Doctoral Student
Tsinghua University
Institute for Network Sciences and Cyberspace · Host: Prof. Xin Yi
Education
2022 — 2026
PhD in Computer Science
University of Luxembourg, Luxembourg
Supervisor: Prof. Gabriele Lenzini. Thesis: Computational analysis of misinformation engagement and interventions on social media [Excellent Thesis Award Nomination].
2019 — 2022
MSc in Management Science and Engineering
Beihang University, China
Exchange at the University of Luxembourg, 2021–2022.
2015 — 2019
BEng in Information Management and Information System
Hefei University of Technology, China
Outstanding Graduate, 2019.
Funded research
CLARITY
FNR CORE 2025 · FNR / DFG · €694,000Community-led analysis and reporting to improve trust and transparency.
Co-developed the proposal with Gabriele Lenzini (PI) and Nicolas Pröllochs (co-PI).
REMEDIS
FNR / FNRS 2021 · €747,000Regulatory and other solutions to mitigate online disinformation.
Doctoral researcher studying online misinformation and its interventions.
Teaching & mentoring
Guest lecturer on misinformation in the Master in Cybersecurity and Cyber Defense at the University of Luxembourg (2025).
Previously a teaching assistant for Programming in C at Beihang University (2019–2021).
Research supervision: Shuning Zhang (Tsinghua University) and Dai Shi (Tongji University).
Academic service
Conference reviewer for WWW, CHI, CSCW, ICWSM, and EMNLP.
Journal reviewing includes Information Processing & Management, Digital Journalism, Humanities and Social Sciences Communications, and PNAS Nexus.
Program committee: CIVIL session, IEEE DSAA.
Recognition
- Guillaume Dupaix International PhD Scholarship2025
- Government Scholarship of the Grand Duchy of Luxembourg2022
- Outstanding Graduate, Hefei University of Technology2019
Talks & media
Invited talks
Community-based fact-checking
Tsinghua University, China
Interviews
Comments as early fact-checking signals
X/Twitter
External expert to inform Meta’s product and policy decision-making
Meta
Obstacle for Community Notes to be successful
Columbia Journalism Review
Poynter Media
Media coverage
Three reasons Meta will struggle with community fact-checking
MIT Technology Review
Elon Musk says X users fight falsehoods. The falsehoods are winning
The Washington Post