# Preserving Integrity in Online Social Networks

arXiv: https://arxiv.org/abs/2009.10311 · HTML: https://mlsanity.com/paper/2009.10311/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Sep 2020.

## Built on by (most cited first, 14 of 14)

- [Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations](https://mlsanity.com/paper/2312.06674/) (2023)
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- [The 2021 Image Similarity Dataset and Challenge](https://mlsanity.com/paper/2106.09672/) (2021)
- [ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection](https://mlsanity.com/paper/2205.12495/) (2022)
- [A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing](https://mlsanity.com/paper/2205.04559/) (2022)
- [Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities](https://mlsanity.com/paper/2406.07353/) (2024)
- [An Information Retrieval Approach to Building Datasets for Hate Speech Detection](https://mlsanity.com/paper/2106.09775/) (2021)
- [Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms](https://mlsanity.com/paper/2211.06516/) (2022)
- [VTC: Improving Video-Text Retrieval with User Comments](https://mlsanity.com/paper/2210.10820/) (2022)
- [Prioritizing Original News on Facebook](https://mlsanity.com/paper/2102.08465/) (2021)
- [Detecting Inspiring Content on Social Media](https://mlsanity.com/paper/2109.02734/) (2021)
- [Regular Expressions for Fast-response COVID-19 Text Classification](https://mlsanity.com/paper/2102.09507/) (2021)
- [The use of the word "gammaupsionnuαiotakappaomicronkappaτomicronnuiotaα" (femicide) in Greek-speaking Twitter](https://mlsanity.com/paper/2210.11837/) (2022)

## Abstract (arXiv)

Online social networks provide a platform for sharing information and free expression. However, these networks are also used for malicious purposes, such as distributing misinformation and hate speech, selling illegal drugs, and coordinating sex trafficking or child exploitation. This paper surveys the state of the art in keeping online platforms and their users safe from such harm, also known as the problem of preserving integrity. This survey comes from the perspective of having to combat a broad spectrum of integrity violations at Facebook. We highlight the techniques that have been proven useful in practice and that deserve additional attention from the academic community. Instead of discussing the many individual violation types, we identify key aspects of the social-media eco-system, each of which is common to a wide variety violation types. Furthermore, each of these components represents an area for research and development, and the innovations that are found can be applied widely.
