Dapping into the Fediverse: Analyzing What’s Trending on Mastodon Social

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media has changed the way we consume information daily. Most social media sites are centralized, meaning they are owned by a single entity, e.g., Facebook, Twitter, and YouTube. However, recently other forms of social media sites known as decentralized social networks are getting popular. These platforms are understudied. Hence in this exploratory research, one of the most prominent decentralized social platforms known as Mastodon Social has been studied. A review of what others have focused on when it comes to studying decentralized social networks has been conducted. Scripts to collect data from Mastodon Social are shared and analyses of the collected data with many valuable insights are provided.

Original languageEnglish (US)
Title of host publicationSocial, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Proceedings
EditorsRobert Thomson, Christopher Dancy, Aryn Pyke
PublisherSpringer Science and Business Media Deutschland GmbH
Pages101-110
Number of pages10
ISBN (Print)9783031171130
DOIs
StatePublished - 2022
Event15th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation Conference, SBP-BRiMS 2022 - Pittsburgh, United States
Duration: Sep 20 2022Sep 23 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation Conference, SBP-BRiMS 2022
Country/TerritoryUnited States
CityPittsburgh
Period9/20/229/23/22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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