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2020 – today
- 2024
[c66]Navid Ayoobi
, Sadat Shahriar, Arjun Mukherjee:
Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. HT 2024: 1-11- [c65]Zhijia Chen, Lihong He, Arjun Mukherjee, Eduard C. Dragut:
Comquest: Large Scale User Comment Crawling and Integration. SIGMOD Conference Companion 2024: 432-435 - [i23]Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee:
Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. CoRR abs/2406.14012 (2024) - [i22]Navid Ayoobi, Lily Knab, Wen Cheng, David Pantoja, Hamidreza Alikhani, Sylvain Flamant, Jin Kim, Arjun Mukherjee:
ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination. CoRR abs/2409.14285 (2024) - 2023
- [c64]Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee:
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. HT 2023: 38:1-38:10 - [c63]Sadat Shahriar, Arjun Mukherjee:
Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. RANLP 2023: 1066-1075 - [c62]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains. RANLP 2023: 1076-1084 - [i21]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Deception Detection with Feature-Augmentation by soft Domain Transfer. CoRR abs/2305.01011 (2023) - [i20]Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee:
The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. CoRR abs/2307.11864 (2023) - 2022
- [c61]Chen Shen, Chao Han, Lihong He, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut:
Session-based News Recommendation from Temporal User Commenting Dynamics. ASONAM 2022: 163-170 - [c60]Fatima Zahra Qachfar, Rakesh M. Verma, Arjun Mukherjee:
Leveraging Synthetic Data and PU Learning For Phishing Email Detection. CODASPY 2022: 29-40 - [c59]Andrew T. Schneider, Lihong He, Zhijia Chen, Arjun Mukherjee, Eduard C. Dragut:
COIN - an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings. COLING 2022: 3984-3993 - [c58]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Deception Detection with Feature-Augmentation by Soft Domain Transfer. SocInfo 2022: 373-380 - [i19]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Improving Phishing Detection Via Psychological Trait Scoring. CoRR abs/2208.06792 (2022) - 2021
- [c57]Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee:
Improving Authorship Verification using Linguistic Divergence. ROMCIR@ECIR 2021: 1-15 - [c56]Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma:
On the Feasibility of Using GANs for Claim Verification- Experiments and Analysis. ROMCIR@ECIR 2021: 35-46 - [c55]Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut:
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. ICWSM 2021: 173-184 - [c54]Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma:
Claim Verification Using a Multi-GAN Based Model. RANLP 2021: 494-503 - [c53]Marjan Hosseinia, Eduard C. Dragut, Dainis Boumber, Arjun Mukherjee:
On the Usefulness of Personality Traits in Opinion-oriented Tasks. RANLP 2021: 547-556 - [c52]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
A Domain-Independent Holistic Approach to Deception Detection. RANLP 2021: 1308-1317 - [c51]Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee:
Opinion Prediction with User Fingerprinting. RANLP 2021: 1423-1431 - [c50]Fan Yang, Eduard C. Dragut, Arjun Mukherjee:
Improving Evidence Retrieval with Claim-Evidence Entailment. RANLP 2021: 1553-1558 - [i18]Yifan Zhang, Dainis Boumber, Marjan Hosseinia, Fan Yang, Arjun Mukherjee:
Improving Authorship Verification using Linguistic Divergence. CoRR abs/2103.07052 (2021) - [i17]Amartya Hatua, Arjun Mukherjee, Rakesh M. Verma:
Claim Verification using a Multi-GAN based Model. CoRR abs/2103.08001 (2021) - [i16]Kishore Tumarada, Yifan Zhang, Fan Yang, Eduard C. Dragut, Omprakash Gnawali, Arjun Mukherjee:
Opinion Prediction with User Fingerprinting. CoRR abs/2108.00270 (2021) - [i15]Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
A Domain-Independent Holistic Approach to Deception Detection. CoRR abs/2111.10711 (2021) - 2020
- [j4]Lihong He, Chao Han, Arjun Mukherjee, Zoran Obradovic, Eduard C. Dragut:
On the dynamics of user engagement in news comment media. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c49]Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee:
Stance Prediction for Contemporary Issues: Data and Experiments. SocialNLP@ACL 2020: 32-40 - [c48]Fan Yang, Eduard C. Dragut, Arjun Mukherjee:
Claim Verification under Positive Unlabeled Learning. ASONAM 2020: 143-150 - [c47]Fan Yang, Eduard C. Dragut, Arjun Mukherjee:
Predicting Personal Opinion on Future Events with Fingerprints. COLING 2020: 1802-1807 - [c46]Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee:
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. WI/IAT 2020: 532-539 - [i14]Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee:
Stance Prediction for Contemporary Issues: Data and Experiments. CoRR abs/2006.00052 (2020) - [i13]Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali:
Less is More: Exploiting Social Trust to Increase the Effectiveness of a Deception Attack. CoRR abs/2006.13499 (2020) - [i12]Yigeng Zhang, Fan Yang, Yifan Zhang, Eduard C. Dragut, Arjun Mukherjee:
Birds of a Feather Flock Together: Satirical News Detection via Language Model Differentiation. CoRR abs/2007.02164 (2020) - [i11]Daniel Lee, Rakesh M. Verma, Avisha Das, Arjun Mukherjee:
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models. CoRR abs/2008.00140 (2020) - [i10]Lihong He, Chen Shen, Arjun Mukherjee, Slobodan Vucetic, Eduard C. Dragut:
Cannot Predict Comment Volume of a News Article before (a few) Users Read It. CoRR abs/2008.06414 (2020) - [i9]Md. Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, Mohammad Amin Alipour:
Towards Demystifying Dimensions of Source Code Embeddings. CoRR abs/2008.13064 (2020) - [i8]Yifan Zhang, Fan Yang, Marjan Hosseinia, Arjun Mukherjee:
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution. CoRR abs/2012.08407 (2020)
2010 – 2019
- 2019
- [c45]Marjan Hosseinia, Eduard C. Dragut, Arjun Mukherjee:
Pro/Con: Neural Detection of Stance in Argumentative Opinions. SBP-BRiMS 2019: 21-30 - [i7]Abhishek Laddha, Arjun Mukherjee:
Aspect Specific Opinion Expression Extraction using Attention based LSTM-CRF Network. CoRR abs/1902.02709 (2019) - 2018
- [j3]Abhishek Laddha, Arjun Mukherjee:
Aspect opinion expression and rating prediction via LDA-CRF hybrid. Nat. Lang. Eng. 24(4): 611-639 (2018) - [c44]Santosh K. C., Sohan De Sarkar, Arjun Mukherjee:
Product Popularity Modeling Via Time Series Embedding. ASONAM 2018: 650-653 - [c43]Abhishek Laddha, Arjun Mukherjee:
Aspect Specific Opinion Expression Extraction Using Attention Based LSTM-CRF Network. CICLing (2) 2018: 442-454 - [c42]Marjan Hosseinia, Arjun Mukherjee:
A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c41]Sohan De Sarkar, Fan Yang, Arjun Mukherjee:
Attending Sentences to detect Satirical Fake News. COLING 2018: 3371-3380 - [c40]Dainis Boumber, Yifan Zhang, Arjun Mukherjee:
Experiments with Convolutional Neural Networks for Multi-Label Authorship Attribution. LREC 2018 - [c39]Suman Kalyan Maity, Santosh K. C., Arjun Mukherjee:
Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter. WWW (Companion Volume) 2018: 63-64 - [c38]Andrew T. Schneider, Arjun Mukherjee, Eduard C. Dragut:
Leveraging Social Media Signals for Record Linkage. WWW 2018: 1195-1204 - [i6]Marjan Hosseinia, Arjun Mukherjee:
Experiments with Neural Networks for Small and Large Scale Authorship Verification. CoRR abs/1803.06456 (2018) - 2017
- [c37]Shahryar Baki, Rakesh M. Verma, Arjun Mukherjee, Omprakash Gnawali:
Scaling and Effectiveness of Email Masquerade Attacks: Exploiting Natural Language Generation. AsiaCCS 2017: 469-482 - [c36]Yifan Zhang, Arjun Mukherjee, Fan Yang:
Supervised Domain Adaptation via Label Alignment for Opinion Expression Extraction. CICLing (2) 2017: 224-240 - [c35]Marjan Hosseinia, Arjun Mukherjee:
Detecting Sockpuppets in Deceptive Opinion Spam. CICLing (2) 2017: 255-272 - [c34]Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut:
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. EMNLP 2017: 1979-1989 - [c33]KC Santosh, Suman Kalyan Maity, Arjun Mukherjee:
ENWalk: Learning Network Features for Spam Detection in Twitter. SBP-BRiMS 2017: 90-101 - [c32]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Bimodal Distribution and Co-Bursting in Review Spam Detection. WWW 2017: 1063-1072 - [i5]Marjan Hosseinia, Arjun Mukherjee:
Detecting Sockpuppets in Deceptive Opinion Spam. CoRR abs/1703.03149 (2017) - [i4]Santosh K. C., Arjun Mukherjee:
Characterizing Product Lifecycle in Online Marketing: Sales, Trust, Revenue, and Competition Modeling. CoRR abs/1704.02993 (2017) - [i3]KC Santosh, Suman Kalyan Maity, Arjun Mukherjee:
ENWalk: Learning Network Features for Spam Detection in Twitter. CoRR abs/1704.03404 (2017) - [i2]Fan Yang, Arjun Mukherjee, Eduard Constantin Dragut:
Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features. CoRR abs/1709.01189 (2017) - 2016
- [c31]Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, Thamar Solorio:
Analysis of Anxious Word Usage on Online Health Forums. Louhi@EMNLP 2016: 37-42 - [c30]Rakesh M. Verma, Vasanthi Vuppuluri, An Nguyen, Arjun Mukherjee, Ghita Mammar, Shahryar Baki, Reed Armstrong:
Mining the Web for Collocations: IR Models of Term Associations. CICLing (1) 2016: 177-194 - [c29]Arjun Mukherjee:
Extracting Aspect Specific Sentiment Expressions Implying Negative Opinions. CICLing (2) 2016: 194-210 - [c28]Prasha Shrestha, Arjun Mukherjee, Thamar Solorio:
Large Scale Authorship Attribution of Online Reviews. CICLing (2) 2016: 221-232 - [c27]Geli Fei, Zhiyuan (Brett) Chen, Arjun Mukherjee, Bing Liu:
Discovering Correspondence of Sentiment Words and Aspects. CICLing (2) 2016: 233-245 - [c26]Fan Yang, Arjun Mukherjee, Yifan Zhang:
Leveraging Multiple Domains for Sentiment Classification. COLING 2016: 2978-2988 - [c25]Abhishek Laddha, Arjun Mukherjee:
Extracting Aspect Specific Opinion Expressions. EMNLP 2016: 627-637 - [c24]Santosh K. C., Arjun Mukherjee:
On the Temporal Dynamics of Opinion Spamming: Case Studies on Yelp. WWW 2016: 369-379 - [i1]Huayi Li, Geli Fei, Shuai Wang, Bing Liu, Weixiang Shao, Arjun Mukherjee, Jidong Shao:
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors. CoRR abs/1611.06625 (2016) - 2015
- [j2]Qingyuan Liu, Eduard C. Dragut, Arjun Mukherjee, Weiyi Meng:
FLORIN - A System to Support (Near) Real-Time Applications on User Generated Content on Daily News. Proc. VLDB Endow. 8(12): 1944-1947 (2015) - [c23]Huayi Li, Arjun Mukherjee, Jianfeng Si, Bing Liu:
Extracting Verb Expressions Implying Negative Opinions. AAAI 2015: 2411-2417 - [c22]Arjun Mukherjee:
Detecting Deceptive Opinion Spam using Linguistics, Behavioral and Statistical Modeling. ACL (Tutorial Abstracts) 2015: 21-22 - [c21]Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Jidong Shao:
Analyzing and Detecting Opinion Spam on a Large-scale Dataset via Temporal and Spatial Patterns. ICWSM 2015: 634-637 - 2014
- [j1]Huayi Li, Bing Liu, Arjun Mukherjee, Jidong Shao:
Spotting Fake Reviews using Positive-Unlabeled Learning. Computación y Sistemas 18(3) (2014) - [c20]Zhiyuan Chen, Arjun Mukherjee, Bing Liu:
Aspect Extraction with Automated Prior Knowledge Learning. ACL (1) 2014: 347-358 - [c19]Michael Gamon, Arjun Mukherjee, Patrick Pantel:
Predicting Interesting Things in Text. COLING 2014: 1477-1488 - [c18]Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, Huayi Li:
Exploiting Social Relations and Sentiment for Stock Prediction. EMNLP 2014: 1139-1145 - [c17]Huayi Li, Arjun Mukherjee, Bing Liu, Rachel Kornfield, Sherry Emery:
Detecting Campaign Promoters on Twitter Using Markov Random Fields. ICDM 2014: 290-299 - 2013
- [c16]Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, Xiaotie Deng:
Exploiting Topic based Twitter Sentiment for Stock Prediction. ACL (2) 2013: 24-29 - [c15]Arjun Mukherjee, Bing Liu:
Discovering User Interactions in Ideological Discussions. ACL (1) 2013: 671-681 - [c14]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Sharon Meraz:
Public Dialogue: Analysis of Tolerance in Online Discussions. ACL (1) 2013: 1680-1690 - [c13]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Discovering coherent topics using general knowledge. CIKM 2013: 209-218 - [c12]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Domain Knowledge in Aspect Extraction. EMNLP 2013: 1655-1667 - [c11]Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Exploiting Burstiness in Reviews for Review Spammer Detection. ICWSM 2013 - [c10]Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie S. Glance:
What Yelp Fake Review Filter Might Be Doing? ICWSM 2013 - [c9]Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Leveraging Multi-Domain Prior Knowledge in Topic Models. IJCAI 2013: 2071-2077 - [c8]Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. KDD 2013: 632-640 - 2012
- [c7]Arjun Mukherjee, Bing Liu:
Modeling Review Comments. ACL (1) 2012: 320-329 - [c6]Arjun Mukherjee, Bing Liu:
Aspect Extraction through Semi-Supervised Modeling. ACL (1) 2012: 339-348 - [c5]Arjun Mukherjee, Bing Liu:
Analysis of Linguistic Style Accommodation in Online Debates. COLING 2012: 1831-1846 - [c4]Arjun Mukherjee, Bing Liu:
Mining contentions from discussions and debates. KDD 2012: 841-849 - [c3]Arjun Mukherjee, Bing Liu, Natalie S. Glance:
Spotting fake reviewer groups in consumer reviews. WWW 2012: 191-200 - 2011
- [c2]Arjun Mukherjee, Bing Liu, Junhui Wang, Natalie S. Glance, Nitin Jindal:
Detecting group review spam. WWW (Companion Volume) 2011: 93-94 - 2010
- [c1]Arjun Mukherjee, Bing Liu:
Improving Gender Classification of Blog Authors. EMNLP 2010: 207-217
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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