| 2025 | RANLP | The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas after Iterative Paraphrasing? | Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee |
| 2025 | RANLP | Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection against LLM-Generated Threats. | Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee, Mostafa Musharrat, Sai Vishnu Vamsi |
| 2024 | SIGMOD | Comquest: Large Scale User Comment Crawling and Integration. | Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut |
| 2023 | RANLP | Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. | Sadat Shahriar, Arjun Mukherjee |
| 2023 | RANLP | Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains. | Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali |
| 2022 | COLING | COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings. | Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut |
| 2021 | ECIR | On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. | Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma |
| 2021 | ECIR | Improving Authorship Verification using Linguistic Divergence. | Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee |
| 2021 | ICWSM | Cannot Predict Comment Volume of a News Article before (a few) Users Read It. | Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut |
| 2021 | RANLP | Improving Evidence Retrieval with Claim-Evidence Entailment. | Fan Yang, Eduard C. Dragut, Arjun Mukherjee |
| 2021 | RANLP | Claim Verification Using a Multi-GAN Based Model. | Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma |
| 2021 | RANLP | On the Usefulness of Personality Traits in Opinion-oriented Tasks. | Marjan Hosseinia, Eduard C. Dragut, Dainis Boumber, Arjun Mukherjee |
| 2021 | RANLP | A Domain-Independent Holistic Approach to Deception Detection. | Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali |
| 2021 | RANLP | Opinion Prediction with User Fingerprinting. | Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee |
| 2020 | COLING | Predicting Personal Opinion on Future Events with Fingerprints. | Fan Yang, Eduard C. Dragut, Arjun Mukherjee |
| 2018 | CICLING | Aspect Specific Opinion Expression Extraction Using Attention Based LSTM-CRF Network. | Abhishek Laddha, Arjun Mukherjee |
| 2018 | COLING | Attending Sentences to detect Satirical Fake News. | Sohan De Sarkar, Fan Yang, Arjun Mukherjee |
| 2018 | LREC | Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution. | Dainis Boumber, Yifan Zhang, Arjun Mukherjee |
| 2018 | WWW | Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter. | Suman Kalyan Maity, Santosh K. C., Arjun Mukherjee |
| 2018 | WWW | Leveraging Social Media Signals for Record Linkage. | Andrew T. Schneider, Arjun Mukherjee, Eduard C. Dragut |
| 2017 | CCS | Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. | Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali |
| 2017 | CICLING | Detecting Sockpuppets in Deceptive Opinion Spam. | Marjan Hosseinia, Arjun Mukherjee |
| 2017 | CICLING | Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction. | Yifan Zhang, Arjun Mukherjee, Fan Yang |
| 2017 | EMNLP | Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. | Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut |
| 2017 | WWW | Bimodal Distribution and Co-Bursting in Review Spam Detection. | Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao |
| 2016 | CICLING | Discovering Correspondence of Sentiment Words and Aspects. | Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu |
| 2016 | CICLING | Extracting Aspect Specific Sentiment Expressions Implying Negative Opinions. | Arjun Mukherjee |
| 2016 | CICLING | Large Scale Authorship Attribution of Online Reviews. | Prasha Shrestha, Arjun Mukherjee, Thamar Solorio |
| 2016 | CICLING | 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 |
| 2016 | COLING | Leveraging Multiple Domains for Sentiment Classification. | Fan Yang, Arjun Mukherjee, Yifan Zhang |
| 2016 | EMNLP | Extracting Aspect Specific Opinion Expressions. | Abhishek Laddha, Arjun Mukherjee |
| 2016 | WWW | On the Temporal Dynamics of Opinion Spamming: Case Studies on Yelp. | Santosh K. C., Arjun Mukherjee |
| 2015 | AAAI | Extracting Verb Expressions Implying Negative Opinions. | Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu |
| 2015 | ACL | Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling. | Arjun Mukherjee |
| 2015 | ICWSM | Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. | Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao |
| 2014 | ACL | Aspect Extraction with Automated Prior Knowledge Learning. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu |
| 2014 | COLING | Predicting Interesting Things in Text. | Michael Gamon, Arjun Mukherjee, Patrick Pantel |
| 2014 | EMNLP | Exploiting Social Relations and Sentiment for Stock Prediction. | Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li |
| 2014 | ICDM | Detecting Campaign Promoters on Twitter Using Markov Random Fields. | Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery |
| 2013 | ACL | Discovering User Interactions in Ideological Discussions. | Arjun Mukherjee, Bing Liu |
| 2013 | ACL | Public Dialogue: Analysis of Tolerance in Online Discussions. | Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz |
| 2013 | ACL | Exploiting Topic based Twitter Sentiment for Stock Prediction. | Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng |
| 2013 | CIKM | Discovering coherent topics using general knowledge. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | EMNLP | Exploiting Domain Knowledge in Aspect Extraction. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | IJCAI | Leveraging Multi-Domain Prior Knowledge in Topic Models. | Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | ICWSM | Exploiting Burstiness in Reviews for Review Spammer Detection. | Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2013 | ICWSM | What Yelp Fake Review Filter Might Be Doing? | Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance |
| 2013 | KDD | Spotting opinion spammers using behavioral footprints. | Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Mal Castellanos, Riddhiman Ghosh |
| 2012 | ACL | Aspect Extraction through Semi-Supervised Modeling. | Arjun Mukherjee, Bing Liu |
| 2012 | ACL | Modeling Review Comments. | Arjun Mukherjee, Bing Liu |
| 2012 | COLING | Analysis of Linguistic Style Accommodation in Online Debates. | Arjun Mukherjee, Bing Liu |
| 2012 | KDD | Mining contentions from discussions and debates. | Arjun Mukherjee, Bing Liu |
| 2012 | WWW | Spotting fake reviewer groups in consumer reviews. | Arjun Mukherjee, Bing Liu, Natalie S. Glance |
| 2011 | WWW | Detecting group review spam. | Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal |
| 2010 | EMNLP | Improving Gender Classification of Blog Authors. | Arjun Mukherjee, Bing Liu |