Behavioural Embeddings
As people engage with online platforms by the millions, they generate massive, unstructured digital traces of their behavior. While these records contain rich, fine-grained, and voluminous information about how people interact, it remains challenging to interpret and draw meaning from the macroscale structure that emerges from them. In this project, we introduce and develop behavioral embeddings, a neural embedding methodology for extracting insight from large-scale, unstructured social data. In behavioral embeddings, entities such as communities, tags, or articles are embedded in a high-dimensional space such that two entities are close in the space if and only if similar users engage with them. We demonstrate that this notion of social similarity provides an extremely useful framework for understanding the macroscale structure of large social datasets.
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What does the Reddit universe look like?
Interactive 3D demo
Blog posts
Publications
@inproceedings{el2022quantifying,
title={Quantifying the {C}reator {E}conomy: {A} {L}arge-{S}cale {A}nalysis of {P}atreon},
author={El Sanyoura, Lana and Anderson, Ashton},
booktitle={Proceedings of the {I}nternational {AAAI} {C}onference on {W}eb and {S}ocial {M}edia},
volume={16},
pages={829--840},
year={2022}
}
@inproceedings{mok2023spotifyexplore,
title={The Dynamics of Exploration on Spotify},
author={Mok, Lillio and Way, Samuel and Maystre, Lucas and Anderson, Ashton},
booktitle={Proceedings of the {I}nternational {AAAI} {C}onference on {W}eb and {S}ocial {M}edia},
year={2022}
}
@inproceedings{raymond2022grassroots,
title={Measuring Alignment of Online Grassroots Political Communities with Political Campaigns},
author={Raymond, Cameron and Waller, Isaac and Anderson, Ashton},
booktitle={Proceedings of the {I}nternational {AAAI} {C}onference on {W}eb and {S}ocial {M}edia},
year={2022}
}
@article{waller2020community,
title={Quantifying social organization and political polarization in online platforms},
author={Waller, Isaac and Anderson, Ashton},
journal={Nature},
volume={600},
number={7888},
pages={264--268},
year={2021},
publisher={Nature Publishing Group}
}
@inproceedings{veselovsky2021imagine,
title={Imagine All the People: Characterizing Social Music Sharing on Reddit},
author={Veselovsky, Veniamin and Waller, Isaac and Anderson, Ashton},
booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
volume={15},
pages={739--750},
year={2021}
}
@article{gligoric2021linguistic,
title={Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)},
author={Gligori{\'c}, Kristina and Lifchits, George and West, Robert and Anderson, Ashton},
journal={Plos one},
volume={16},
number={9},
pages={e0257091},
year={2021},
publisher={Public Library of Science San Francisco, CA USA}
}
@inproceedings{waller2019generalists,
title={Generalists and specialists: Using community embeddings to quantify activity diversity in online platforms},
author={Waller, Isaac and Anderson, Ashton},
booktitle={The World Wide Web Conference},
pages={1954--1964},
year={2019}
}