SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection
Ayushi Nirmal, Bohan Jiang, Huan Liu

TL;DR
SocioHub is an interactive tool designed to facilitate cross-platform social media data collection, enabling researchers to analyze user behavior and content consumption patterns across multiple platforms like Twitter, Instagram, and Mastodon.
Contribution
This work introduces SocioHub, a novel tool that simplifies multi-platform social media data collection for comprehensive user behavior analysis.
Findings
Enables unified data collection across multiple social media platforms
Provides insights into cross-platform user engagement and content preferences
Supports research on device and platform-specific user interactions
Abstract
Social media is inherently about connecting and interacting with others. Different social media platforms have unique characteristics and user bases. Moreover, people use different platforms for various social and entertainment purposes. Analyzing cross-platform user behavior can provide insights into the preferences and expectations of users on each platform. By understanding how users behave and interact across platforms, we can build an understanding of content consumption patterns, enhance communication and social interactions, and tailor platform-specific strategies. We can further gather insights into how users navigate and engage with their platforms on different devices. In this work, we develop a tool SocioHub, which enables users to gather data on multiple social media platforms in one place. This tool can help researchers gain insights into different data attributes for users…
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Taxonomy
TopicsPrivacy, Security, and Data Protection
