Improving Gender Classification of Blog Authors. - Arjun Mukherjee; Bing Liu 001 (EMNLP, 2010)

Detecting group review spam. - Arjun Mukherjee; Bing Liu 001; Junhui Wang; Natalie S. Glance; Nitin Jindal (WWW (Companion Volume), 2011)

Aspect Extraction through Semi-Supervised Modeling. - Arjun Mukherjee; Bing Liu 001 (ACL (1), 2012)

Modeling Review Comments. - Arjun Mukherjee; Bing Liu 001 (ACL (1), 2012)

Analysis of Linguistic Style Accommodation in Online Debates. - Arjun Mukherjee; Bing Liu 001 (COLING, 2012)

Mining contentions from discussions and debates. - Arjun Mukherjee; Bing Liu 001 (KDD, 2012)

Spotting fake reviewer groups in consumer reviews. - Arjun Mukherjee; Bing Liu 001; Natalie S. Glance (WWW, 2012)

Discovering User Interactions in Ideological Discussions. - Arjun Mukherjee; Bing Liu 001 (ACL (1), 2013)

Public Dialogue: Analysis of Tolerance in Online Discussions. - Arjun Mukherjee; Vivek Venkataraman; Bing Liu 001; Sharon Meraz (ACL (1), 2013)

Exploiting Topic based Twitter Sentiment for Stock Prediction. - Jianfeng Si; Arjun Mukherjee; Bing Liu 001; Qing Li 001; Huayi Li; Xiaotie Deng (ACL (2), 2013)

Discovering coherent topics using general knowledge. - Zhiyuan Chen 001; Arjun Mukherjee; Bing Liu 001; Meichun Hsu; Malú Castellanos; Riddhiman Ghosh (CIKM, 2013)

Exploiting Domain Knowledge in Aspect Extraction. - Zhiyuan Chen 001; Arjun Mukherjee; Bing Liu 001; Meichun Hsu; Malú Castellanos; Riddhiman Ghosh (EMNLP, 2013)

Exploiting Burstiness in Reviews for Review Spammer Detection. - Geli Fei; Arjun Mukherjee; Bing Liu 001; Meichun Hsu; Malú Castellanos; Riddhiman Ghosh (ICWSM, 2013)

What Yelp Fake Review Filter Might Be Doing? - Arjun Mukherjee; Vivek Venkataraman; Bing Liu 001; Natalie S. Glance (ICWSM, 2013)

Leveraging Multi-Domain Prior Knowledge in Topic Models. - Zhiyuan Chen 001; Arjun Mukherjee; Bing Liu 001; Meichun Hsu; Malú Castellanos; Riddhiman Ghosh (IJCAI, 2013)

Spotting opinion spammers using behavioral footprints. - Arjun Mukherjee; Abhinav Kumar; Bing Liu 001; Junhui Wang; Meichun Hsu; Malú Castellanos; Riddhiman Ghosh (KDD, 2013)

Aspect Extraction with Automated Prior Knowledge Learning. - Zhiyuan Chen 001; Arjun Mukherjee; Bing Liu 001 (ACL (1), 2014)

Predicting Interesting Things in Text. - Michael Gamon; Arjun Mukherjee; Patrick Pantel (COLING, 2014)

Exploiting Social Relations and Sentiment for Stock Prediction. - Jianfeng Si; Arjun Mukherjee; Bing Liu 001; Sinno Jialin Pan; Qing Li 001; Huayi Li (EMNLP, 2014)

Detecting Campaign Promoters on Twitter Using Markov Random Fields. - Huayi Li; Arjun Mukherjee; Bing Liu 001; Rachel Kornfield; Sherry Emery (ICDM, 2014)

Spotting Fake Reviews using Positive-Unlabeled Learning. - Huayi Li; Bing Liu 001; Arjun Mukherjee; Jidong Shao (Computación y Sistemas, 2014)

Extracting Verb Expressions Implying Negative Opinions. - Huayi Li; Arjun Mukherjee; Jianfeng Si; Bing Liu 001 (AAAI, 2015)

Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling. - Arjun Mukherjee (ACL (Tutorial Abstracts), 2015)

Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. - Huayi Li; Zhiyuan Chen 001; Arjun Mukherjee; Bing Liu 001; Jidong Shao (ICWSM, 2015)

FLORIN - A System to Support (Near) Real-Time Applications on User Generated Content on Daily News. - Qingyuan Liu; Eduard C. Dragut; Arjun Mukherjee; Weiyi Meng (Proc. VLDB Endow., 2015)

Analysis of Anxious Word Usage on Online Health Forums. - Nicolas Rey-Villamizar; Prasha Shrestha; Farig Sadeque; Steven Bethard; Ted Pedersen; Arjun Mukherjee; Thamar Solorio (Louhi@EMNLP, 2016)

Discovering Correspondence of Sentiment Words and Aspects. - Geli Fei; Zhiyuan (Brett) Chen; Arjun Mukherjee; Bing Liu 001 (CICLing (2), 2016)

Extracting Aspect Specific Sentiment Expressions Implying Negative Opinions. - Arjun Mukherjee (CICLing (2), 2016)

Large Scale Authorship Attribution of Online Reviews. - Prasha Shrestha; Arjun Mukherjee; Thamar Solorio (CICLing (2), 2016)

Mining the Web for Collocations: IR Models of Term Associations. - Rakesh M. Verma; Vasanthi Vuppuluri; An Nguyen; Arjun Mukherjee; Ghita Mammar; Shahryar Baki; Reed Armstrong (CICLing (1), 2016)

Leveraging Multiple Domains for Sentiment Classification. - Fan Yang 075; Arjun Mukherjee; Yifan Zhang (COLING, 2016)

Extracting Aspect Specific Opinion Expressions. - Abhishek Laddha; Arjun Mukherjee (EMNLP, 2016)

On the Temporal Dynamics of Opinion Spamming: Case Studies on Yelp. - Santosh K. C.; Arjun Mukherjee (WWW, 2016)

Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. - Huayi Li; Geli Fei; Shuai Wang 020; Bing Liu 001; Weixiang Shao; Arjun Mukherjee; Jidong Shao (CoRR, 2016)

Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. - Shahryar Baki; Rakesh M. Verma; Arjun Mukherjee; Omprakash Gnawali (AsiaCCS, 2017)

Detecting Sockpuppets in Deceptive Opinion Spam. - Marjan Hosseinia; Arjun Mukherjee (CICLing (2), 2017)

Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction. - Yifan Zhang; Arjun Mukherjee; Fan Yang 075 (CICLing (2), 2017)

Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. - Fan Yang 075; Arjun Mukherjee; Eduard Constantin Dragut (EMNLP, 2017)

ENWalk: Learning Network Features for Spam Detection in Twitter. - KC Santosh; Suman Kalyan Maity; Arjun Mukherjee (SBP-BRiMS, 2017)

Bimodal Distribution and Co-Bursting in Review Spam Detection. - Huayi Li; Geli Fei; Shuai Wang 020; Bing Liu 001; Weixiang Shao; Arjun Mukherjee; Jidong Shao (WWW, 2017)

Characterizing Product Lifecycle in Online Marketing: Sales, Trust, Revenue, and Competition Modeling. - Santosh K. C.; Arjun Mukherjee (CoRR, 2017)

Product Popularity Modeling Via Time Series Embedding. - Santosh K. C.; Sohan De Sarkar; Arjun Mukherjee (ASONAM, 2018)

Aspect Specific Opinion Expression Extraction Using Attention Based LSTM-CRF Network. - Abhishek Laddha; Arjun Mukherjee (CICLing (2), 2018)

A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018. - Marjan Hosseinia; Arjun Mukherjee (CLEF (Working Notes), 2018)

Attending Sentences to detect Satirical Fake News. - Sohan De Sarkar; Fan Yang 075; Arjun Mukherjee (COLING, 2018)

Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution. - Dainis Boumber; Yifan Zhang; Arjun Mukherjee (LREC, 2018)

Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter. - Suman Kalyan Maity; Santosh K. C.; Arjun Mukherjee (WWW (Companion Volume), 2018)

Leveraging Social Media Signals for Record Linkage. - Andrew T. Schneider; Arjun Mukherjee; Eduard C. Dragut (WWW, 2018)

Experiments with Neural Networks for Small and Large Scale Authorship Verification. - Marjan Hosseinia; Arjun Mukherjee (CoRR, 2018)

Aspect opinion expression and rating prediction via LDA-CRF hybrid. - Abhishek Laddha; Arjun Mukherjee (Nat. Lang. Eng., 2018)

Pro/Con: Neural Detection of Stance in Argumentative Opinions. - Marjan Hosseinia; Eduard C. Dragut; Arjun Mukherjee (SBP-BRiMS, 2019)

Stance Prediction for Contemporary Issues: Data and Experiments. - Marjan Hosseinia; Eduard C. Dragut; Arjun Mukherjee (SocialNLP@ACL, 2020)

Claim Verification under Positive Unlabeled Learning. - Fan Yang 075; Eduard C. Dragut; Arjun Mukherjee (ASONAM, 2020)

Predicting Personal Opinion on Future Events with Fingerprints. - Fan Yang 075; Eduard C. Dragut; Arjun Mukherjee (COLING, 2020)

Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. - Yifan Zhang; Fan Yang 075; Marjan Hosseinia; Arjun Mukherjee (WI/IAT, 2020)

Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack. - Shahryar Baki; Rakesh M. Verma; Arjun Mukherjee; Omprakash Gnawali (CoRR, 2020)

Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation. - Yigeng Zhang; Fan Yang 075; Yifan Zhang; Eduard C. Dragut; Arjun Mukherjee (CoRR, 2020)

Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. - Daniel Lee; Rakesh M. Verma; Avisha Das; Arjun Mukherjee (CoRR, 2020)

Towards Demystifying Dimensions of Source Code Embeddings. - Md. Rafiqul Islam Rabin; Arjun Mukherjee; Omprakash Gnawali; Mohammad Amin Alipour (CoRR, 2020)

On the dynamics of user engagement in news comment media. - Lihong He 001; Chao Han 003; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (WIREs Data Mining Knowl. Discov., 2020)

On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. - Amartya Hatua; Arjun Mukherjee; Rakesh M. Verma (ROMCIR@ECIR, 2021)

Improving Authorship Verification using Linguistic Divergence. - Yifan Zhang; Dainis Boumber; Marjan Hosseinia; Fan Yang 075; Arjun Mukherjee (ROMCIR@ECIR, 2021)

Cannot Predict Comment Volume of a News Article before (a few) Users Read It. - Lihong He 001; Chen Shen 009; Arjun Mukherjee; Slobodan Vucetic; Eduard C. Dragut (ICWSM, 2021)

Improving Evidence Retrieval with Claim-Evidence Entailment. - Fan Yang 075; Eduard C. Dragut; Arjun Mukherjee (RANLP, 2021)

Claim Verification Using a Multi-GAN Based Model. - Amartya Hatua; Arjun Mukherjee; Rakesh M. Verma (RANLP, 2021)

On the Usefulness of Personality Traits in Opinion-oriented Tasks. - Marjan Hosseinia; Eduard C. Dragut; Dainis Boumber; Arjun Mukherjee (RANLP, 2021)

A Domain-Independent Holistic Approach to Deception Detection. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (RANLP, 2021)

Opinion Prediction with User Fingerprinting. - Kishore Tumarada; Yifan Zhang; Fan Yang 075; Eduard C. Dragut; Omprakash Gnawali; Arjun Mukherjee (RANLP, 2021)

Session-based News Recommendation from Temporal User Commenting Dynamics. - Chen Shen 009; Chao Han 003; Lihong He 001; Arjun Mukherjee; Zoran Obradovic; Eduard C. Dragut (ASONAM, 2022)

Leveraging Synthetic Data and PU Learning For Phishing Email Detection. - Fatima Zahra Qachfar; Rakesh M. Verma; Arjun Mukherjee (CODASPY, 2022)

COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings. - Andrew T. Schneider; Lihong He 001; Zhijia Chen; Arjun Mukherjee; Eduard C. Dragut (COLING, 2022)

Deception Detection with Feature-Augmentation by Soft Domain Transfer. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (SocInfo, 2022)

Improving Phishing Detection Via Psychological Trait Scoring. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (CoRR, 2022)

The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (HT, 2023)

Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. - Sadat Shahriar; Arjun Mukherjee (RANLP, 2023)

Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (RANLP, 2023)

Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (HT, 2024)

Comquest: Large Scale User Comment Crawling and Integration. - Zhijia Chen; Lihong He 001; Arjun Mukherjee; Eduard C. Dragut (SIGMOD Conference Companion, 2024)

ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination. - Navid Ayoobi; Lily Knab; Wen Cheng; David Pantoja; Hamidreza Alikhani; Sylvain Flamant; Jin Kim; Arjun Mukherjee (CoRR, 2024)

IITUH18 at Fairweb-2: Investigating the Effect of the QueryModification on Fairness. - Narendra Kumar; Arjun Mukherjee; Sukomal Pal; Thomas Mandl 001 (NTCIR, 2025)

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (CoRR, 2025)