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LASER Workshop 2024

LASER Workshop at ACM Web Science Conference 2024

In an era where online social platforms, big data, and AI are reshaping our world, the Linking Surveys and Social Media Data: Advancing Public Opinion Research (LASER) Workshop stands at the forefront of revolutionizing public opinion research. Addressing the challenges and opportunities at the intersection of traditional surveys and social media data, this workshop is a pivotal platform for scholars to explore innovative approaches in Computational Social Science (CSS). As a collaboration of the ERC-funded Politus Project and CSS Research Center of Koç University (ccss@ku.edu.tr), we organize this workshop and invite researchers to submit an abstract (max. 1000 words) showcasing their work in the dynamic field of survey and social media data linkage. Abstracts should reflect a profound integration of these methodologies and contribute significantly to the field of CSS and public opinion research.

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IMPORTANT DATES

Submission Deadline: March 25, 2024 April 7, 2024 (12:00 pm, UTC)

Notification Date: April 14, 2024

Workshop Date: May 21, 2024

 

VENUE

ACM Web Science Conference 2024, in Stuttgart, Germany (https://websci24.org/workshops-and-tutorials/)

 

SELECTION CRITERIA

Submissions will be evaluated by the organizing committee based on scholarly contributions and relevance to the workshop themes. Special consideration will be given to papers that demonstrate innovative approaches and practical applications in the field.

 

WORKSHOP STRUCTURE

  • Keynote Addresses: Sharing experiences and strategies in a global context.
  • Paper Presentation Sessions: Dedicated sessions for discussing specific aspects of data linkage and public opinion research.
  • Comprehensive Q&A Sessions: Facilitating an open exchange of ideas and insights.

 

THEMES

  • Integrating Survey and Social Media Data: Discussing methodologies to combine these two data sources for a more nuanced understanding of public opinion.
  • Cutting-Edge AI Techniques: Delving into AI methods like multimodal deep learning and network analysis to advance research.
  • Ethical Considerations: Addressing GDPR compliance, privacy preservation, and ethical practices in data extraction and linkage.
  • Enhancing Data Representativeness: Building models that ensure validity and representativeness in public opinion research.
  • Challenges in Data Interpretation: Tackling ambiguities in interpreting social media activity and user characteristics.
  • Envisioning the Future: Discussing the impact of data linkage in shaping the future of public opinion research.

 

KEYNOTE SPEAKER

Professor Melanie Revilla as the principal investigator of the ERC-funded WEB DATA OPP project (https://www.upf.edu/web/webdataopp

 

ORGANIZING COMMITTEE MEMBERS

Mehmet Fuat Kına, Postdoctoral Researcher. Email: mkina18@ku.edu.tr.
Center for Computational Social Sciences, Koç University

Şükrü Atsızelti, PhD Researcher. Email: satsizelti22@ku.edu.tr.
Sociology Department, Koç University

Oğuz Gürerk, Researcher. Email: oguzgurerk@gmail.com.
Center for Computational Social Sciences, Koç University

Erdem Yörük, Associate Professor. Email: eryoruk@ku.edu.tr.
Center for Computational Social Science and Sociology Department, Koç University

Ali Hürriyetoğlu,Senior Data Science Researcher. Email: ali.hurriyetoglu@wur.nl Wageningen Food Safety Research

 

CONTACT

Mehmet Fuat Kına, Postdoctoral Researcher. Email: mkina18@ku.edu.tr.
Center for Computational Social Sciences, Koç University

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