Published October 27, 2021 | Version v3
Open dataset Metadata-only

Twitch Livestreaming Interactions

Creators

  • 1. École polytechnique fédérale de Lausanne
  • 2. University of California San Diego

Description

Description

The Twitch Livestreaming Interactions dataset captures live-streaming interactions collected by Julian McAuley's lab (University California San Diego): all streamers and their connected chat users, sampled every 10 minutes over 43 days in July 2019. It includes anonymized user IDs, stream IDs, streamer usernames, and start/stop timestamps, available as a 100k-user benchmark subset or the full 15.5M-user dataset.

Please cite the following if you use the data:

Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption
Jérémie Rappaz, Julian McAuley and Karl Aberer
RecSys, 2021
DOI: https://doi.org/10.1145/3460231.3474267

Additional code can be found on GitHub: https://github.com/JRappaz/liverec

Variables

Name Description
user_id user identifier (anonymized)
stream id stream identifier, could be used to retreive a single broadcast segment (not used in our study)
streamer username name of the channel
start time first crawling round at which the user was seen in the chat
stop time last crawling round at which the user was seen in the chat

Details

Resource type Open dataset
Title Twitch Livestreaming Interactions
Creators
  • Rappaz, Jérémie1
  • McAuley, Julian2 ORCID icon
  • Aberer, Karl1 ORCID icon
    • Publisher University of California San Diego
    Year of publication 2021
    Dates of collection July 2019
    Research fields Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Business Administration Other
    Companies Twitch
    Size 6.47 GB
    Formats Comma-separated values (CSV) (.csv) GZip Compressed Archive (.gz)
    External resource https://cseweb.ucsd.edu/~jmcauley/datasets.html#twitch

    Additional details

    Related works

    Is cited by
    Conference paper: 10.1145/3523227.3548487 (DOI)
    Is described by
    Conference paper: 10.1145/3460231.3474267 (DOI)