OSoMe
- Last Updated: 2/27/2019 12:00:00 AM
- Site: https://truthy.indiana.edu/
OSoMe (awe•some) is a joint project of the Indiana University Network Science Institute (IUNI) and the Center for Complex Networks and Systems Research (CNetS), aimed to study information diffusion in social media. Here we highlight findings, publications, and resources. Use our tools to explore how ideas spread through online social networks.
Hoaxy: Visualize the spread of claims and fact checking.
Botometer: Check how bot-like a Twitter user behaves.
Fakey: PLay this game to learn to recognize fake news on your social feed.
Trends: Compare when memes gain and lose popularity.
Networks: Explore who is discussing a meme and what memes are related.
Maps: Examine where people are talking about a meme over time.
Movies: Generate movies of how conversations about a meme evolve over time.
EchoDemo: Simulation demonstrating how two basic mechanisms of social media can lead to polarized social networks.
Bot Electioneering Volume: Visualizing the activity of likely bots on Twitter around the 2018 US midterm elections.
As well as API and Enhanced Data available.
Hoaxy: Visualize the spread of claims and fact checking.
Botometer: Check how bot-like a Twitter user behaves.
Fakey: PLay this game to learn to recognize fake news on your social feed.
Trends: Compare when memes gain and lose popularity.
Networks: Explore who is discussing a meme and what memes are related.
Maps: Examine where people are talking about a meme over time.
Movies: Generate movies of how conversations about a meme evolve over time.
EchoDemo: Simulation demonstrating how two basic mechanisms of social media can lead to polarized social networks.
Bot Electioneering Volume: Visualizing the activity of likely bots on Twitter around the 2018 US midterm elections.
As well as API and Enhanced Data available.
Documentation
Creator(s): Indiana University
Creator's Site: http://www.indiana.edu/
Creator's Email: truthyatindiana@gmail.com
Repository:
Attributes
- Type of analysis: Visualization Analysis
- Type of license: Free Closed Source
- Background Processing: Doesn't Run in Background
- Web Usable: Run in Browser
- Ease of Use: Easy
- TaDiRAH Goals: Analysis
- TaDiRAH Methods: Discovering Modeling Visualization
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