Adapting the Dangerous Speech Paradigm to Identify Incitement from Polarized and Hate Speech.

Siddharth Krishnan

Saajan Patel Cori Faklaris Ramisha Mahiyat Aditya Narasimhan Sampath Siddharth Krishnan Adapting the Dangerous Speech Paradigm to Identify Incitement from Polarized and Hate Speech. 2026 June 14:1-14:22 9 ACM Trans. Soc. Comput. 2 https://doi.org/10.1145/3797963 db/journals/tsoco/tsoco9.html#PatelFMSK26 streams/journals/tsoco

Arkaprava Sinha Dominick Reilly Siddharth Krishnan Hieu Le 0001 Srijan Das TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living. 2026 June abs/2606.20561 CoRR https://doi.org/10.48550/arXiv.2606.20561 db/journals/corr/corr2606.html#abs-2606-20561 streams/journals/corr

Trupti Bavalatti Osama Ahmed Dhaval Potdar Rakeen Rouf Faraz Jawed Manish Kumar Govind Siddharth Krishnan A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety. 32661-32680 2025 13 IEEE Access https://doi.org/10.1109/ACCESS.2025.3539933 db/journals/access/access13.html#BavalattiAPRJGK25 streams/journals/access

Aditya Narasimhan Sampath Avani Thakur Siddharth Krishnan Agentic Reasoning for Social Event Extrapolation: Integrating Knowledge Graphs and Language Models. 172096-172110 2025 13 IEEE Access https://doi.org/10.1109/ACCESS.2025.3612015 db/journals/access/access13.html#SampathTK25

Avani Thakur Aditya Narasimhan Sampath Siddharth Krishnan An Agentic Framework for Social Event Forecasting: Approaches Using Causality Contextualized Chain of Thought. ICDM (Workshops) 2025 3022-3026 conf/icdm/2025w https://doi.org/10.1109/ICDMW69685.2025.00394 db/conf/icdm/icdm2025w.html#ThakurSK25 streams/conf/icdm Joshua Melton Shannon Reid Gabriel Terejanu Siddharth Krishnan Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. 245-261 2024 ASONAM (3) https://doi.org/10.1007/978-3-031-78548-1_19 conf/asunam/2024-3 db/conf/asunam/asonam2024-3.html#MeltonRTK24 streams/conf/asunam Rezaur Rashid Joshua Melton Ouldouz Ghorbani Siddharth Krishnan Shannon Reid Gabriel Terejanu Quantifying Influencer Impact on Affective Polarization. 1135-1140 2024 ICMLA https://doi.org/10.1109/ICMLA61862.2024.00174 conf/icmla/2024 db/conf/icmla/icmla2024.html#RashidMGKRT24 streams/conf/icmla

Joshua Melton Shannon Reid Gabriel Terejanu Siddharth Krishnan Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks. 2024 abs/2404.10228 CoRR https://doi.org/10.48550/arXiv.2404.10228 db/journals/corr/corr2404.html#abs-2404-10228

Rezaur Rashid Joshua Melton Ouldouz Ghorbani Siddharth Krishnan Shannon Reid Gabriel Terejanu Quantifying Influencer Effects on Affective Polarization. 2024 abs/2405.15893 CoRR https://doi.org/10.48550/arXiv.2405.15893 db/journals/corr/corr2405.html#abs-2405-15893

Avisha Kumar Kunal Kotkar Kelly Jiang Meghana Bhimreddy Daniel Davidar Carly Weber-Levine Siddharth Krishnan Max J. Kerensky Ruixing Liang Kelley M. Kempski Leadingham Denis Routkevitch Andrew M. Hersh Kimberly Ashayeri Betty M. Tyler Ian Suk Jennifer Son Nicholas Theodore Nitish V. Thakor Amir Manbachi A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation. 2024 abs/2409.16441 CoRR https://doi.org/10.48550/arXiv.2409.16441 db/journals/corr/corr2409.html#abs-2409-16441 streams/journals/corr

Marcos Zampieri Isabelle Augenstein Siddharth Krishnan Joshua Melton Preslav Nakov Preface: Special issue on NLP approaches to offensive content online. 1415 2023 November 29 Nat. Lang. Eng. 6 https://doi.org/10.1017/s1351324923000499 db/journals/nle/nle29.html#ZampieriAKMN23

Joshua Melton Siddharth Krishnan muxGNN: Multiplex Graph Neural Network for Heterogeneous Graphs. 11067-11078 2023 September 45 IEEE Trans. Pattern Anal. Mach. Intell. 9 https://doi.org/10.1109/TPAMI.2023.3263079 db/journals/pami/pami45.html#MeltonK23

Maya Kapoor Michael Napolitano Jonathan Quance Thomas Moyer Siddharth Krishnan Detecting VoIP Data Streams: Approaches Using Hidden Representation Learning. 15519-15527 2023 AAAI https://doi.org/10.1609/aaai.v37i13.26840 conf/aaai/2023 db/conf/aaai/aaai2023.html#KapoorNQMK23 Ariel Slepyan Siddharth Krishnan Tianao Li Nitish V. Thakor A Multi-Channel, Low-Voltage, High-Frequency Programmable Electrical Stimulator for Sensory Feedback. 1-5 2023 BioCAS https://doi.org/10.1109/BioCAS58349.2023.10388769 conf/biocas/2023 db/conf/biocas/biocas2023.html#SlepyanKLT23 Maya Kapoor Joshua Melton Michael Ridenhour Thomas Moyer Siddharth Krishnan Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning. 4887-4891 2022 CIKM https://doi.org/10.1145/3511808.3557200 conf/cikm/2022 db/conf/cikm/cikm2022.html#KapoorMRMK22 Maya Kapoor Siddharth Krishnan Thomas Moyer Deep Packet Inspection at Scale: Search Optimization Through Locality-Sensitive Hashing. 97-105 2022 NCA https://doi.org/10.1109/NCA57778.2022.10013504 conf/nca/2022 db/conf/nca/nca2022.html#KapoorKM22

Joshua Melton Michael Ridenhour Siddharth Krishnan Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks. 2022 abs/2203.01903 CoRR https://doi.org/10.48550/arXiv.2203.01903 db/journals/corr/corr2203.html#abs-2203-01903

Maya Kapoor Joshua Melton Michael Ridenhour Mahalavanya Sriram Thomas Moyer Siddharth Krishnan Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning. 2022 abs/2203.02744 CoRR https://doi.org/10.48550/arXiv.2203.02744 db/journals/corr/corr2203.html#abs-2203-02744

Prasad Hajare Sadia Kamal Siddharth Krishnan Arunkumar Bagavathi A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. 239-243 2021 ICMLA https://doi.org/10.1109/ICMLA52953.2021.00044 conf/icmla/2021 db/conf/icmla/icmla2021.html#HajareKKB21 Maya Kapoor Joshua Melton Michael Ridenhour Siddharth Krishnan Thomas Moyer PROV-GEM: Automated Provenance Analysis Framework using Graph Embeddings. 1720-1727 2021 ICMLA https://doi.org/10.1109/ICMLA52953.2021.00273 conf/icmla/2021 db/conf/icmla/icmla2021.html#KapoorMRKM21

Prasad Hajare Sadia Kamal Siddharth Krishnan Arunkumar Bagavathi A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches. 2021 abs/2109.09014 CoRR https://arxiv.org/abs/2109.09014 db/journals/corr/corr2109.html#abs-2109-09014

Joshua Melton Arunkumar Bagavathi Siddharth Krishnan DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. 1015-1022 2020 ICMLA https://doi.org/10.1109/ICMLA51294.2020.00165 conf/icmla/2020 db/conf/icmla/icmla2020.html#MeltonBK20 Michael Ridenhour Arunkumar Bagavathi Elaheh Raisi Siddharth Krishnan Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. 202-212 2020 SBP-BRiMS https://doi.org/10.1007/978-3-030-61255-9_20 conf/sbp-brims/2020 db/conf/sbp-brims/sbp-brims2020.html#RidenhourBRK20

Michael Ridenhour Arunkumar Bagavathi Elaheh Raisi Siddharth Krishnan Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models. 2020 abs/2007.12724 CoRR https://arxiv.org/abs/2007.12724 db/journals/corr/corr2007.html#abs-2007-12724

Joshua Melton Arunkumar Bagavathi Siddharth Krishnan DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection. 2020 abs/2011.01861 CoRR https://arxiv.org/abs/2011.01861 db/journals/corr/corr2011.html#abs-2011-01861

Arunkumar Bagavathi Pedram Bashiri Shannon Reid Matthew Phillips Siddharth Krishnan Examining untempered social media: analyzing cascades of polarized conversations. 625-632 2019 ASONAM https://doi.org/10.1145/3341161.3343695 conf/asunam/2019 db/conf/asunam/asonam2019.html#BagavathiBRPK19 Stephen Wooley Andrew Edmonds Arunkumar Bagavathi Siddharth Krishnan Extracting Cryptocurrency Price Movements from the Reddit Network Sentiment. 500-505 2019 ICMLA https://doi.org/10.1109/ICMLA.2019.00093 conf/icmla/2019 db/conf/icmla/icmla2019.html#WooleyEBK19 Arunkumar Bagavathi Siddharth Krishnan Sanjay Subrahmanyan S. L. Narasimhan ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. 1517-1522 2019 ICMLA https://doi.org/10.1109/ICMLA.2019.00250 conf/icmla/2019 db/conf/icmla/icmla2019.html#BagavathiKSN19

Arunkumar Bagavathi Pedram Bashiri Shannon Reid Matthew Phillips Siddharth Krishnan Examining Untempered Social Media: Analyzing Cascades of Polarized Conversations. 2019 abs/1906.04261 CoRR http://arxiv.org/abs/1906.04261 db/journals/corr/corr1906.html#abs-1906-04261

Arunkumar Bagavathi Siddharth Krishnan Sanjay Subrahmanyan S. L. Narasimhan ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert. 2019 abs/1912.03769 CoRR http://arxiv.org/abs/1912.03769 db/journals/corr/corr1912.html#abs-1912-03769

Siddharth Krishnan Seeing the Forest for the Trees: New approaches to Characterizing and Forecasting Cascades. 2018 Virginia Tech, Blacksburg, VA, USA http://hdl.handle.net/10919/83362 https://www.base-search.net/Record/a22e52b4b51c773df36bbdd068cd1c8aaa68e0438218fda2a225f388ecf1aa46 base-search.net (ftvirginiatec:oai:vtechworks.lib.vt.edu:10919/83362) Arunkumar Bagavathi Siddharth Krishnan Multi-Net: A Scalable Multiplex Network Embedding Framework. 119-131 2018 COMPLEX NETWORKS (2) https://doi.org/10.1007/978-3-030-05414-4_10 conf/complexnetworks/2018-2 db/conf/complexnetworks/complexnetworks2018-2.html#BagavathiK18

Arunkumar Bagavathi Siddharth Krishnan MultiNet: Scalable Multilayer Network Embeddings. 2018 abs/1805.10172 CoRR http://arxiv.org/abs/1805.10172 db/journals/corr/corr1805.html#abs-1805-10172

Nasheen Nur Wenwen Dou Xi Niu Siddharth Krishnan Noseong Park GI-OHMS: Graphical Inference to Detect Overlapping Communities. 2018 abs/1810.01547 CoRR http://arxiv.org/abs/1810.01547 db/journals/corr/corr1810.html#abs-1810-01547

Mohammad Raihanul Islam K. S. M. Tozammel Hossain Siddharth Krishnan Naren Ramakrishnan Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices. 4-12 2016 AAAI https://doi.org/10.1609/aaai.v30i1.10006 conf/aaai/2016 db/conf/aaai/aaai2016.html#IslamHKR16 Michael Levet Siddharth Krishnan A Mechanism Design Approach for Influence Maximization. 55-62 2016 GAMENETS https://doi.org/10.1007/978-3-319-47509-7_6 conf/gamenets/2016 db/conf/gamenets/gamenets2016.html#LevetK16 Siddharth Krishnan Patrick Butler Ravi Tandon Jure Leskovec Naren Ramakrishnan Seeing the forest for the trees: new approaches to forecasting cascades. 249-258 2016 WebSci https://doi.org/10.1145/2908131.2908155 https://www.wikidata.org/entity/Q60309308 conf/websci/2016 db/conf/websci/websci2016.html#KrishnanBTLR16 Osama Ahmed Kimberly Ashayeri Isabelle Augenstein Arunkumar Bagavathi Pedram Bashiri Trupti Bavalatti Meghana Bhimreddy Patrick Butler Srijan Das Daniel Davidar Wenwen Dou Andrew Edmonds Cori Faklaris Ouldouz Ghorbani Manish Kumar Govind Prasad Hajare Andrew M. Hersh K. S. M. Tozammel Hossain Mohammad Raihanul Islam Faraz Jawed Kelly Jiang Sadia Kamal Maya Kapoor Max J. Kerensky Kunal Kotkar Avisha Kumar Hieu Le 0001 Kelley M. Kempski Leadingham Jure Leskovec Michael Levet Tianao Li Ruixing Liang Ramisha Mahiyat Amir Manbachi Joshua Melton Thomas Moyer Preslav Nakov Michael Napolitano S. L. Narasimhan Xi Niu Nasheen Nur Noseong Park Saajan Patel Matthew Phillips Dhaval Potdar Jonathan Quance Elaheh Raisi Naren Ramakrishnan Rezaur Rashid Shannon Reid Dominick Reilly Michael Ridenhour Rakeen Rouf Denis Routkevitch Aditya Narasimhan Sampath Arkaprava Sinha Ariel Slepyan Jennifer Son Mahalavanya Sriram Sanjay Subrahmanyan Ian Suk Ravi Tandon Gabriel Terejanu Nitish V. Thakor Avani Thakur Nicholas Theodore Betty M. Tyler Carly Weber-Levine Stephen Wooley Marcos Zampieri