Datasets › Twitter Stance Election 2020

Twitter Stance Election 2020

Introduced by Kornraphop Kawintiranon et al. in Knowledge Enhanced Masked Language Model for Stance Detection26 May 2021 archive 2025-07-28

The data set contains 2500 manually-stance-labeled tweets, 1250 for each candidate (Joe Biden and Donald Trump). These tweets were sampled from the unlabeled set that our research team collected English tweets related to the 2020 US Presidential election. Through the Twitter Streaming API, the authors collected data using election-related hashtags and keywords. Between January 2020 and September 2020, over 5 million tweets were collected, not including quotes and retweets.

Paper: Knowledge Enhanced Masked Language Model for Stance Detection

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Knowledge Enhanced Masked Language Model for Stance Detection 1 2 26 May 2021 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

GNU General Public License v3.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Twitter Stance Election 2020

1 variant name, as the archive lists them.

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