Home | News

23.10.2023

Tiny logo
Teaser image to MCML at CSCW 2024

MCML at CSCW 2024

Four Accepted Papers

26th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing, Minneapolis, MN, USA, Oct 24-18, 2023

We are happy to announce that MCML researchers have contributed a total of 4 papers to CSCW 2024. Congrats to our researchers!

Main Track (4 papers)

N. Pröllochs • S. Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?
CSCW 2024 - 26th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. Minneapolis, MN, USA, Oct 24-18, 2023. DOI

A. Bashardoust • S. Feuerriegel • Y. R. Shrestha
Comparing the Willingness to Share for Human-generated vs. AI-generated Fake News.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

D. Geißler • S. Feuerriegel
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

A. Maarouf • N. Pröllochs • S. Feuerriegel
The Virality of Hate Speech on Social Media.
CSCW 2024 - 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work and Social Computing. San José, Costa Rica, Nov 09-13, 2024. DOI

#research #top-tier-work #feuerriegel

Related

Tiny logo
Link to MCML at ICDAR 2026

28.08.2026

MCML at ICDAR 2026

MCML researchers are represented with 1 paper at ICDAR 2026.

Read more
Link to Transparency for global health aid

26.08.2026

Transparency for Global Health Aid

MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.

Read more
Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.

Read more
Link to Using Data Science to Personalize Depression Care

24.08.2026

Using Data Science to Personalize Depression Care

Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.

Read more
Tiny logo
Link to MCML at IJCAI-ECAI 2026

14.08.2026

MCML at IJCAI-ECAI 2026

MCML researchers are represented with 1 paper at IJCAI-ECAI 2026.

Read more
Back to Top