Search Results for author: Karishma Sharma

Found 8 papers, 2 papers with code

Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement

1 code implementation24 Feb 2022 Karishma Sharma, Emilio Ferrara, Yan Liu

Malicious accounts spreading misinformation has led to widespread false and misleading narratives in recent times, especially during the COVID-19 pandemic, and social media platforms struggle to eliminate these contents rapidly.

Fact Checking Misinformation

VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media

no code implementations NeurIPS 2021 Yizhou Zhang, Karishma Sharma, Yan Liu

Specifically, when modeling the observed data from social media with neural temporal point process, we jointly learn a Gibbs-like distribution of group assignment based on how consistent an assignment is to (1) the account embedding space and (2) the prior knowledge.

Misinformation Variational Inference

Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election

no code implementations17 Jul 2021 Karishma Sharma, Emilio Ferrara, Yan Liu

Identifying and characterizing disinformation in political discourse on social media is critical to ensure the integrity of elections and democratic processes around the world.

COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives

no code implementations15 Jun 2021 Karishma Sharma, Yizhou Zhang, Yan Liu

In this work, we investigate misinformation communities and narratives that can contribute to COVID-19 vaccine hesitancy.


Network Inference from a Mixture of Diffusion Models for Fake News Mitigation

no code implementations8 Aug 2020 Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu

Users influential in the propagation of true and fake contents are identified using the inferred diffusion dynamics.

COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations

3 code implementations26 Mar 2020 Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu

The analysis is presented and updated on a publically accessible dashboard (https://usc-melady. github. io/COVID-19-Tweet-Analysis) to track the nature of online discourse and misinformation about COVID-19 on Twitter from March 1 - June 5, 2020.

Fact Checking Misinformation

Combating Fake News: A Survey on Identification and Mitigation Techniques

no code implementations18 Jan 2019 Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu

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.


Cannot find the paper you are looking for? You can Submit a new open access paper.