Twitter Bot Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Evading classifiers in discrete domains with provable optimality guarantees
  25 Oct 2018 2 repositories listed
  We introduce a graphical framework that (1) generalizes existing attacks in discrete domains, (2) can accommodate complex cost functions beyond p-norms, including financial cost incurred when attacking a classifier, and…
• LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
  30 Jun 2023 1 repository listed
  For datasets without graph structure, we simply replace the GNN with an MLP, which has also shown strong performance.
• Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
  17 Jan 2023 1 repository listed
  These tools employ machine learning and often achieve near perfect performance for classification on existing datasets, suggesting bot detection is accurate, reliable and fit for use in downstream applications.
• MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
  3 Jan 2023 1 repository listed
  However, in addition to low annotation quality, existing benchmarks generally have incomplete user relationships, suppressing graph-based account detection research.
• BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency
  17 Aug 2022 1 repository listed
  In addition, given the stealing behavior of novel Twitter bots, BIC proposes to model semantic consistency in tweets based on attention weights while using it to augment the decision process.
• TwiBot-22: Towards Graph-Based Twitter Bot Detection
  9 Jun 2022 1 repository listed Syntology ran 1 of 4 samples · 3 unverified
  Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
• Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
  8 Dec 2021 1 repository listed
  Twitter is one of the most popular social networks attracting millions of users, while a considerable proportion of online discourse is captured.
• State of the Art Models for Fake News Detection Tasks
  11 May 2020 1 repository listed
  This paper presents state of the art methods for addressing three important challenges in automated fake news detection: fake news detection, domain identification, and bot identification in tweets.
• Detecting Bot Behaviour in Social Media using Digital DNA Compression
  5 Dec 2019 1 repository listed
  In our approach, we employ a lossless compression algorithm on these Digital DNA sequences and use the compression statistics as a measure of predictability in the behaviour of a group of Twitter accounts.
• Bot and Gender Detection of Twitter Accounts Using Distortion and LSA
  1 Jul 2019 1 repository listed
  In this work, we present our approach for the Author Profiling task of PAN 2019.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.