Combating Fake News

By Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu. ACM Transactions on Intelligent Systems and Technology, 2019

352 citations recorded by the source corpus.

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news and mitigation of its widespread impact on public opinion. While much of the earlier research was focused on identification of fake news based on its contents or by exploiting users’ engagements with the news on social media, there has been a rising interest in proactive intervention strategies to counter the spread of misinformation and its impact on society. In this survey, we describe the modern-day problem of fake news and, in particular, highlight the technical challenges associated with it. We discuss existing methods and techniques applicable to both identification and mitigation, with a focus on the significant advances in each method and their advantages and limitations. In addition, research has often been limited by the quality of existing datasets and their specific application contexts. To alleviate this problem, we comprehensively compile and summarize characteristic features of available datasets. Furthermore, we outline new directions of research to facilitate future development of effective and interdisciplinary solutions.

Subfields: Information Systems, Sociology and Political Science, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6b71064126c3bd154d19fb06db01ad1510e1f96b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Fred Morstatter
2. Huan Liu
3. Sabrine Amri
4. Esma Aïmeur
5. Gilles Brassard
6. Kathleen M. Carley
7. Liang Wu
8. Jürgen Pfeffer

In Sociology and Political Science

1. Fred Morstatter
2. Sabrine Amri
3. Esma Aïmeur
4. Gilles Brassard
5. Kathleen M. Carley
6. Huan Liu
7. Liang Wu
8. Kai Shu

In Signal Processing

1. Kathleen M. Carley
2. Huan Liu
3. Liang Wu

Citations in the corpus

• Fake news, disinformation and misinformation in social media: a review (2023, methodology): “However, the dynamic nature of fake news propagation through social networks further complicates matters (Sharma et al. 2019).”
• Misinformation in Social Media: Definition, Manipulation, and Detection (2019, background): “Recent incidents reveal that fake news can be used as propaganda and get viral through news media and social media [39; 38].”