Explore the intersection of social media, technology, and society through real-time data and user behavior analysis.
Best for:Ideal for researchers with a background in social media analysis, data science, or computational social science who are passionate about understanding digital ecosystems.
Overview
This position focuses on the study of Twitter (now X) as a platform for communication, information dissemination, and societal interaction. The role involves analyzing large-scale social media data to uncover trends, behaviors, and impacts on public discourse. Applicants will contribute to research on misinformation, user engagement, and the platform's role in shaping modern communication. The work is interdisciplinary, bridging computer science, social sciences, and data analytics.
What you'll do
- Analyze large-scale Twitter datasets to identify trends in user behavior and communication patterns.
- Investigate the spread of misinformation and its impact on public opinion and discourse.
- Develop computational models to study engagement dynamics and content virality on the platform.
- Collaborate with interdisciplinary teams to interpret findings in the context of social and political sciences.
- Publish research findings in peer-reviewed journals and present at academic conferences.
Requirements
Instruction: English
- Proficiency in programming languages such as Python or R for data analysis
- Experience with social media data collection and analysis tools (e.g., Twitter API, web scraping)
- Strong background in statistics or computational methods for large-scale data processing
Funding & terms
How to apply
Interested candidates should submit a CV, cover letter, and research statement outlining their interest in social media analysis and relevant experience. Applications should be sent via email to the contact provided.
- CV
- Cover letter
- Research statement
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