Preserving Integrity in Online Social Networks
Not on the map. Why?
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.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Sep 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 6; 2022: 6; 2023: 1; 2024: 1.
14 papers.
Sort:
By area:
- 2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversationscited by 1,124
- 2021CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networkscited by 118
- 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
- 2021The 2021 Image Similarity Dataset and Challengecited by 44
- 2022ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detectioncited by 15
- 2022A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processingcited by 13
- 2024Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicitiescited by 13
- 2021An Information Retrieval Approach to Building Datasets for Hate Speech Detectioncited by 9
- 2022Bandits for Online Calibration: An Application to Content Moderation on Social Media Platformscited by 6
- 2022VTC: Improving Video-Text Retrieval with User Commentscited by 5
- 2021Prioritizing Original News on Facebookcited by 2
- 2021Detecting Inspiring Content on Social Mediacited by 2
- 2024Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities11 Jun 2024
- 2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations7 Dec 2023
- 2022Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms11 Nov 2022
- 2022The use of the word "gammaupsionnuαiotakappaomicronkappaτomicronnuiotaα" (femicide) in Greek-speaking Twitter21 Oct 2022
- 2022VTC: Improving Video-Text Retrieval with User Comments19 Oct 2022
- 2022ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection25 May 2022
- 2022A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing9 May 2022
- 2022Detecting and Understanding Harmful Memes: A Survey9 May 2022
- 2021Detecting Inspiring Content on Social Media6 Sep 2021
- 2021An Information Retrieval Approach to Building Datasets for Hate Speech Detection17 Jun 2021
- 2021The 2021 Image Similarity Dataset and Challenge17 Jun 2021
- 2021Regular Expressions for Fast-response COVID-19 Text Classification18 Feb 2021
2 more
- 2021Prioritizing Original News on Facebook16 Feb 2021
- 2021CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks5 Feb 2021
- 2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversationscited by 1,124
- 2021CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networkscited by 118
- 2022Detecting and Understanding Harmful Memes: A Surveycited by 58
- 2021The 2021 Image Similarity Dataset and Challengecited by 44
- 2022A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processingcited by 13
- 2024Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicitiescited by 13
- 2021An Information Retrieval Approach to Building Datasets for Hate Speech Detectioncited by 9
- 2022Bandits for Online Calibration: An Application to Content Moderation on Social Media Platformscited by 6
- 2022VTC: Improving Video-Text Retrieval with User Commentscited by 5
- 2021Prioritizing Original News on Facebookcited by 2
- 2021Detecting Inspiring Content on Social Mediacited by 2
- 2021Regular Expressions for Fast-response COVID-19 Text Classificationcited by 0
12 most cited of 13 All 13 (JSON)
- 2024Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities11 Jun 2024
- 2023Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations7 Dec 2023
- 2022Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms11 Nov 2022
- 2022The use of the word "gammaupsionnuαiotakappaomicronkappaτomicronnuiotaα" (femicide) in Greek-speaking Twitter21 Oct 2022
- 2022VTC: Improving Video-Text Retrieval with User Comments19 Oct 2022
- 2022A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing9 May 2022
- 2022Detecting and Understanding Harmful Memes: A Survey9 May 2022
- 2021Detecting Inspiring Content on Social Media6 Sep 2021
- 2021An Information Retrieval Approach to Building Datasets for Hate Speech Detection17 Jun 2021
- 2021The 2021 Image Similarity Dataset and Challenge17 Jun 2021
- 2021Regular Expressions for Fast-response COVID-19 Text Classification18 Feb 2021
- 2021Prioritizing Original News on Facebook16 Feb 2021
12 newest of 13 All 13 (JSON)