mlsanityData to 14 Oct 2026

Event Detection from Social Media Stream: Methods, Datasets and Opportunities

arXiv 2306.16495 ↗First posted 28 Jun 2023cs.SI cs.AI cs.IRcited by 3

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Abstract (arXiv)

Social media streams contain large and diverse amount of information, ranging from daily-life stories to the latest global and local events and news. Twitter, especially, allows a fast spread of events happening real time, and enables individuals and organizations to stay informed of the events happening now. Event detection from social media data poses different challenges from traditional text and is a research area that has attracted much attention in recent years. In this paper, we survey a wide range of event detection methods for Twitter data stream, helping readers understand the recent development in this area. We present the datasets available to the public. Furthermore, a few research opportunities

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 13 of its 102 references that are in the map. First posted on arXiv 28 Jun 2023.

Builds on

13 of 102 references.

References · 13

  1. 2017Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a surveycited by 91
  2. 2021Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNscited by 51
  3. 2019Real-time Event Detection on Social Data Streamscited by 21
  4. 2019Rumor Detection on Social Media: Datasets, Methods and Opportunitiescited by 8
  5. 2015Event detection, tracking, and visualization in Twitter: a mention-anomaly-based approachcited by 6
  6. 2017Data Sets: Word Embeddings Learned from Tweets and General Datacited by 5
  7. 2020Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Mediacited by 5
  8. 2019Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approachcited by 4
  9. 2018Event Detection with Neural Networks: A Rigorous Empirical Evaluationcited by 3
  10. 2014Multiscale Event Detection in Social Mediacited by 2
  11. 2017"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasterscited by 2
  12. 2017Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Datacited by 2
1 more
  1. 2014From Tweets to Events: Exploring a Scalable Solution for Twitter Streamscited by 1

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024A Comparative Study on Enhancing Prediction in Social Network Advertisement through Data Augmentationcited by 21
  2. 2025Synthetic Non-stationary Data Streams for Recognition of the Unknowncited by 4
  3. 2024Large Language Model Enhanced Clustering for News Event Detectioncited by 1