Combating Disinformation in a Social Media Age
arXiv:2007.07388
Abstract
The creation, dissemination, and consumption of disinformation and fabricated content on social media is a growing concern, especially with the ease of access to such sources, and the lack of awareness of the existence of such false information. In this paper, we present an overview of the techniques explored to date for the combating of disinformation with various forms. We introduce different forms of disinformation, discuss factors related to the spread of disinformation, elaborate on the inherent challenges in detecting disinformation, and show some approaches to mitigating disinformation via education, research, and collaboration. Looking ahead, we present some promising future research directions on disinformation.
WIREs Data Mining and Knowledge Discovery
References in corpus (21)
- Semi-Supervised Classification with Graph Convolutional Networks
- The science of fake news
- Exploring the Limits of Language Modeling
- Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads
- Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams
- Deep Neural Networks for Bot Detection
- Computational fact checking from knowledge networks
- The power of a good idea: quantitative modeling of the spread of ideas from epidemiological models
- Anatomy of an online misinformation network
- TI-CNN: Convolutional Neural Networks for Fake News Detection
- FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media
- Fake News Detection on Social Media using Geometric Deep Learning
- In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
- Discriminative Predicate Path Mining for Fact Checking in Knowledge Graphs
- Social Turing Tests: Crowdsourcing Sybil Detection
- Some Like it Hoax: Automated Fake News Detection in Social Networks
- Detecting GAN generated Fake Images using Co-occurrence Matrices
- Detecting and Simulating Artifacts in GAN Fake Images
- Neural Abstractive Text Summarization and Fake News Detection
- Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
- Feature Interaction-aware Graph Neural Networks