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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Designing Human-Centered Technologies For Social Media Data Migrations
Date: Tuesday, May 18th, 2021
Time: 11:00 am - 1:00 pm (EST)
Location (virtual): BlueJeans Link
https://bluejeans.com/2654318678
Adriana Alvarado Garcia
HCC Ph.D. Student
School of Interactive Computing
College of Computing
Georgia Institute of Technology
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Committee:
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Abstract:
Social media platforms have proven to be an effective place for developing new approaches for a collective organization through the accumulation of crowdsourced information. Due to their unique affordances, like providing insights about local narratives, capabilities, and expertise from citizens, social media data have the potential to become a tool that works at scale to gather evidence useful for addressing human rights and community crises. However, effectively operationalizing the migration of social media data to institutional contexts so they can be used as evidence to inform interventions remains an understudied area within the discipline of Human-Computer Interaction (HCI).
The outcome of my research will provide a design framework and a set of contextualized tools that will allow NGOs to operationalize the process of turning user-generated content from social media platforms into evidence. My work will have a direct impact on the field of HCI by developing socio-technical strategies to mobilize social media data to identify, monitor, and leverage local community practices that may signal or support an ongoing response to human rights and community crises.
Lastly, my research will contribute to understanding how to design sociotechnical systems that address the challenge of retaining the context of data at scale by advocating for an understanding rooted in the communities that produce and consume the data. By following this approach, I am examining the entire system of communities that the data are part of; with this, I am hoping to contribute to building more equitable technologies.
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