Open AccessA demonstration of socrates: Streamlining the collection, analysis and exploration of social media data
Author(s) -
Matni Ziad,
Choi Dongho,
Shah Chirag
Publication year - 2014
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2014.14505101123
Subject(s) - usable , social media , computer science , socrates , data science , variety (cybernetics) , data collection , diversity (politics) , world wide web , human–computer interaction , multimedia , artificial intelligence , sociology , social science , philosophy , epistemology , anthropology
While the diversity in social media platforms is a primary motivation for people to participate in different social media services and utilize them in appropriately different manners, the heterogeneity in formats and platforms can also encumber information gathering and investigation, especially for a researcher who might have to resort to time consuming and rudimentary cut‐and‐paste tasks. In this demonstration we introduce the S ocial and Cr owdsourced A c t ivity E xtraction S ystem (SOCRATES), a tool developed to help researchers utilize a single, modularly architected, open‐sourced, and standardized platform for collecting social media data from application programming interfaces (APIs), analyzing it with a variety of methodologies, and exploring it via multiple visualizations. SOCRATES has been developed as a highly usable social‐computational platform that allows researchers from any background to track, capture, visualize, explore, and analyze large or small amounts of social media data and annotations.