Date of Award
Spring 5-2023
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
Program/Concentration
Computer Science
Committee Director
Michele C. Weigle
Committee Member
Michael L. Nelson
Committee Member
Faryaneh Poursardar
Abstract
Social media has become one of the primary modes of communication in recent times, with popular platforms such as Facebook, Twitter, and Instagram leading the way. Despite its popularity, Instagram has not received as much attention in academic research compared to Facebook and Twitter, and its significant role in contemporary society is often overlooked. Web archives are making efforts to preserve social media content despite the challenges posed by the dynamic nature of these sites. The goal of our research is to facilitate the easy discovery of archived copies, or mementos, of all posts belonging to a specific Instagram account in web archives. We proposed two approaches to support account-based queries for archived Instagram posts. The first approach uses existing technologies in the Internet Archive by using WARC revisit records to incorporate Instagram usernames into the WARC-Target-URI field in the WARC file header. The second approach involves building an external index that maps Instagram user accounts to their posts. The user can query this index to retrieve all post URLs for a particular user, which they can then use to query web archives for each individual post. The implementation of both approaches was demonstrated, and their advantages and disadvantages were discussed. This research will enable web archivists to make informed decisions on which approach to adopt based on practicality and unique requirements for their archives.
Rights
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DOI
10.25777/meny-yj96
ISBN
9798379739539
Recommended Citation
Jayanetti, Himarsha R..
"Supporting Account-based Queries for Archived Instagram Posts"
(2023). Master of Science (MS), Thesis, Computer Science, Old Dominion University, DOI: 10.25777/meny-yj96
https://digitalcommons.odu.edu/computerscience_etds/139
ORCID
0000-0003-4748-9176