137 citations · 225 across the 8 of their papers we have counts for
9 papers
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement
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 platfor…
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Yizhou Zhang, Karishma Sharma, Yan Liu
Recent years have witnessed an increasing use of coordinated accounts on social media, operated by misinformation campaigns to influence public opinion and manipulate social outcom…
Characterizing Online Engagement with Disinformation and Conspiracies in the 2020 U.S. Presidential Election
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. Per…
COVID-19 Vaccine Misinformation Campaigns and Social Media Narratives
Karishma Sharma, Yizhou Zhang, Yan Liu
COVID-19 vaccine hesitancy has increased concerns about vaccine uptake required to overcome the pandemic and protect public health. A critical factor associated with anti-vaccine a…
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation
Karishma Sharma, Xinran He, Sungyong Seo +1
The dissemination of fake news intended to deceive people, influence public opinion and manipulate social outcomes, has become a pressing problem on social media. Moreover, informa…
Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours
Karishma Sharma, Yizhou Zhang, Emilio Ferrara +1
Disinformation campaigns on social media, involving coordinated activities from malicious accounts towards manipulating public opinion, have become increasingly prevalent. Existing…
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models
Karishma Sharma, Pinar Donmez, Enming Luo +2
Label noise is increasingly prevalent in datasets acquired from noisy channels. Existing approaches that detect and remove label noise generally rely on some form of supervision, w…
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
Karishma Sharma, Sungyong Seo, Chuizheng Meng +2
The ongoing Coronavirus (COVID-19) pandemic highlights the inter-connectedness of our present-day globalized world. With social distancing policies in place, virtual communication…
Combating Fake News: A Survey on Identification and Mitigation Techniques
Karishma Sharma, Feng Qian, He Jiang +3
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 imp…