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20172020
most citedBirds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation

24 citations · 37 across the 6 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution

Yifan Zhang, Fan Yang, Marjan Hosseinia +1

In this paper, we introduce a new framework called the sentiment-aspect attribution module (SAAM). SAAM works on top of traditional neural networks and is designed to address the p…

cs.IR2020

Cannot Predict Comment Volume of a News Article before (a few) Users Read It

Lihong He, Chen Shen, Arjun Mukherjee +2

Many news outlets allow users to contribute comments on topics about daily world events. News articles are the seeds that spring users' interest to contribute content, i.e., commen…

cs.CL202024 cited

Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation

Yigeng Zhang, Fan Yang, Yifan Zhang +2

Satirical news is regularly shared in modern social media because it is entertaining with smartly embedded humor. However, it can be harmful to society because it can sometimes be…

cs.CR20202 cited

Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack

Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee +1

Cyber attacks such as phishing, IRS scams, etc., still are successful in fooling Internet users. Users are the last line of defense against these attacks since attackers seem to al…

cs.CL2020

Stance Prediction for Contemporary Issues: Data and Experiments

Marjan Hosseinia, Eduard Dragut, Arjun Mukherjee

We investigate whether pre-trained bidirectional transformers with sentiment and emotion information improve stance detection in long discussions of contemporary issues. As a part…