24 citations · 37 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network
Abhishek Laddha, Arjun Mukherjee
Opinion phrase extraction is one of the key tasks in fine-grained sentiment analysis. While opinion expressions could be generic subjective expressions, aspect specific opinion exp…
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features
Fan Yang, Arjun Mukherjee, Eduard Dragut
Satirical news is considered to be entertainment, but it is potentially deceptive and harmful. Despite the embedded genre in the article, not everyone can recognize the satirical c…
Detecting Sockpuppets in Deceptive Opinion Spam
Marjan Hosseinia, Arjun Mukherjee
This paper explores the problem of sockpuppet detection in deceptive opinion spam using authorship attribution and verification approaches. Two methods are explored. The first is a…