SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research
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Abstract (arXiv)
Despite its relevance, the maturity of NLP for social media pales in comparison with general-purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the community to know, for instance, given a task, which is the best performing model and how it compares with others. To alleviate this issue, we introduce a unified benchmark for NLP evaluation in social media, SuperTweetEval, which includes a heterogeneous set of tasks and datasets combined, adapted and constructed from scratch. We benchmarked the performance of a wide range of models on SuperTweetEval and our results suggest that, despite the recent advances in language modelling, social media remains challenging.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 44 of its 89 references that are in the map. First posted on arXiv 23 Oct 2023.
Builds on
44 of 89 references.
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Citing papers per year: 2024: 4; 2025: 4; 2026: 1.
9 papers.
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- 2024Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Redditcited by 0
- 2024A Systematic Analysis on the Temporal Generalization of Language Models in Social Mediacited by 0
- 2024Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Modelscited by 0
- 2025Hatevolution: What Static Benchmarks Don't Tell Uscited by 0
- 2025Predicting Social Media User Actions: A Hybrid Approach for Common and Rare Behavior Prediction on Blueskycited by 0
- 2026Text Analytics Evaluation Framework: A Case Study on LLMs and Social Mediacited by 0
- 2026Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media20 May 2026
- 2025Predicting Social Media User Actions: A Hybrid Approach for Common and Rare Behavior Prediction on Bluesky21 Nov 2025
- 2025AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries15 Aug 2025
- 2025Hatevolution: What Static Benchmarks Don't Tell Us13 Jun 2025
- 2025A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English11 Apr 2025
- 2024Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models24 Oct 2024
- 2024WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletion10 Aug 2024
- 2024Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit16 May 2024
- 2024A Systematic Analysis on the Temporal Generalization of Language Models in Social Media15 May 2024