mlsanityData to 7 Oct 2026

Prioritizing Original News on Facebook

arXiv 2102.08465 ↗First posted 16 Feb 2021cs.SI cs.DL cs.IRcited by 2

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Abstract (arXiv)

This work outlines how we prioritize original news, a critical indicator of news quality. By examining the landscape and life-cycle of news posts on our social media platform, we identify challenges of building and deploying an originality score. We pursue an approach based on normalized PageRank values and three-step clustering, and refresh the score on an hourly basis to capture the dynamics of online news. We describe a near real-time system architecture, evaluate our methodology, and deploy it to production. Our empirical results validate individual components and show that prioritizing original news increases user engagement with news and improves proprietary cumulative metrics.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 12 of its 37 references that are in the map. First posted on arXiv 16 Feb 2021.

Builds on

12 of 37 references.

References · 12

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,935
  4. 2015Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Bookscited by 1,041
  5. 2018CoQA: A Conversational Question Answering Challengecited by 674
  6. 2016FastText.zip: Compressing text classification modelscited by 331
  7. 2019PyTorch-BigGraph: A Large-scale Graph Embedding Systemcited by 118
  8. 2017The paradigm-shift of social spambots: Evidence, theories, and tools for the arms racecited by 49
  9. 2015Fame for sale: efficient detection of fake Twitter followerscited by 33
  10. 2020Preserving Integrity in Online Social Networkscited by 14
  11. 2019MediaRank: Computational Ranking of Online News Sourcescited by 6
  12. 2015Breaking the News: First Impressions Matter on Online Newscited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026TopGQ: Fast GNN Post-Training Quantization Leveraging Topology Informationcited by 0
  2. 2026RMB: Reward Model Boosting Mitigates Reward Hackingcited by 0