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A Re-Introduction to the Social Media Archive: New Website, New Features, New Data

A Re-Introduction to the Social Media Archive: New Website, New Features, New Data Online

The Social Media Archive at ICPSR is back with a fresh look, powerful new features, and a treasure trove of social media data ready for exploration! If you’ve ever wondered, “Where does social media data go after it’s collected, and how can I actually use it in my research?”—this session is for you. We’re excited to re-introduce the Social Media Archive’s redesigned website and showcase innovative tools and resources that make it easier than ever to find, access, analyze, and deposit social media datasets and studies.

Join us as we trace data’s journey, from massive public posts to restricted but accessible datasets, highlighting how new website features support discovery, responsible data use, and transparency. Whether you’re new to ICPSR or a seasoned data explorer, you’ll learn how to harness this rapidly expanding resource for your research. From metadata to API access, from Facebook and Reddit posts to Amazon reviews and AI datasets, the Social Media Archive offers a diverse selection to inspire your next project.

Register  here.

This webinar is part of the 2026 ICPSR Data Fair @ Love Data Week.

This event is free and open to the public. The webinar will be recorded, and the recording, along with the slides (when available), will be made available in the 2026 Love Data Week YouTube playlist.

Zoom FAQs are available.

Ready to discover “Where’s the Data?” and what you can achieve with it? Come see how the Social Media Archive at ICPSR is evolving to meet the needs of today’s social science researchers!

 

Date:
Friday, February 13, 2026
Time:
1:00pm - 2:00pm
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event.
Event URL:
https://umich.zoom.us/webinar/register/WN_0xwlscB7RHqNo9jSzVIY8Q#/registration
Audience:
  Faculty & Staff     General Public     Students  
Categories:
  Library Partner Events     Project Management & Publishing > Data  
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