Publications

Peer Reviewed Conference and Journal Publications

  1. MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation
    Wang, Y., Yang, I., Hassanpour, S., & Vosoughi, S.
    ACL 2024

    Wang, Y., Yang, I., Hassanpour, S., & Vosoughi, S. (in press). MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation. In the proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

  2. Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
    Jian, Y., Liu, T., Tao, Y., Zhang, C., Vosoughi, S., & Yang, H.
    ACL 2024

    Jian, Y., Liu, T., Tao, Y., Zhang, C., Vosoughi, S., & Yang, H. (in press). Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. In the proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

  3. Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations
    Ma, W., Deng, C., Moossavi, A., Wang, L., Vosoughi, S., & Yang, D.
    Findings of ACL 2024

    Ma, W., Deng, C., Moossavi, A., Wang, L., Vosoughi, S., & Yang, D. (in press). Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations. Findings of the Association for Computational Linguistics: ACL 2024.

  4. MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
    Guo, X. & Vosoughi, S.
    Findings of ACL 2024

    Guo, X. & Vosoughi, S. (in press). MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization. Findings of the Association for Computational Linguistics: ACL 2024.

  5. Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
    Xie, S., Hassanpour, S., & Vosoughi, S.
    Findings of NAACL 2024

    Xie, S., Hassanpour, S., & Vosoughi, S. (2024). Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. Findings of the Association for Computational Linguistics: NAACL 2024.

  6. Training Socially Aligned Language Models in Simulated Human Society
    Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M. Dai, Diyi Yang, and Soroush Vosoughi
    ICLR 2024

    Liu, R., Yang, R., Jia, C., Zhang, G., Zhou, D., Dai, A. M., Yang, D., & Vosoughi, S. (2024). Training Socially Aligned Language Models in Simulated Human Society. In the 2024 International Conference on Learning Representations.

  7. Aligning Relational Learning with Lipschitz Fairness
    Yaning Jia, Chunhui Zhang, and Soroush Vosoughi
    ICLR 2024

    Jia, Y., Zhang, C., & Vosoughi, S. (2024). Aligning Relational Learning with Lipschitz Fairness. In the 2024 International Conference on Learning Representations.

  8. Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks
    Lili Wang, Chenghan Huang, Ruiye Yao, Chongyang Gao, Weicheng Ma, and Soroush Vosoughi
    PAKDD 2024

    Wang, L., Huang, C., Yao, R., Gao, C., Ma, W., & Vosoughi, S. (2024). Enhancing Network Role Modeling: Introducing Attributed Multiplex Structural Role Embedding for Complex Networks. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 301-313). Singapore: Springer Nature Singapore.

  9. Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
    Yiren Jian, Chongyang Gao, and Soroush Vosoughi
    NeurIPS 2023 (Spotlight!)

    Jian, Y., Gao, C., & Vosoughi, S. (2023). Bootstrapping Vision-Language Learning with Decoupled Language Pre-training. Advances in Neural Information Processing Systems 36 (NeurIPS 2023).

  10. Deciphering Stereotypes in Pre-Trained Language Models

    Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, and Soroush Vosoughi
    EMNLP 2023

    Ma, W., Scheible, H., Wang, B., Veeramachaneni, G., Chowdhary, P., Sun, A., Koulogeorge, A., Wang, L., Yang, D., & Vosoughi, S. (2023). Deciphering Stereotypes in Pre-Trained Language Models. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

  11. Length Does Matter: Summary Length can Bias Summarization Metrics

    Xiaobo Guo and Soroush Vosoughi
    EMNLP 2023

    Guo, X. & Vosoughi, S. (2023). Length Does Matter: Summary Length can Bias Summarization Metrics. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

  12. Intersectional Stereotypes in Large Language Models: Dataset and Analysis

    Weicheng Ma, Brian Chiang, Tong Wu, Lili Wang, and Soroush Vosoughi
    Findings of EMNLP 2023

    Ma, W., Chiang, B., Wu, T., & Vosoughi, S. (2023). Intersectional Stereotypes in Large Language Models: Dataset and Analysis. Findings of the Association for Computational Linguistics: EMNLP 2023.

  13. A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models

    Sean Xie, Soroush Vosoughi*, and Saeed Hassanpour* (*Co-corresponding authors)
    Findings of EMNLP 2023

    Xie, S., Vosoughi, S., & Hassanpour, S. (2023). Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. Findings of the Association for Computational Linguistics: EMNLP 2023.

  14. Improving Syntactic Probing Correctness and Robustness with Control Tasks
    Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour, and Soroush Vosoughi
    ACL 2023

    Ma, W., Wang, B., Zhang, H., Wang, L., Coto-Solano, R., Hassanpour, S., & Vosoughi, S. (2023). Improving Syntactic Probing Correctness and Robustness with Control Tasks. In the proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023).

  15. Quantifying participation biases on social media
    Neeti Pokhriyal, Benjamin Valentino, and Soroush Vosoughi
    EPJ Data Science

    Pokhriyal, N., Valentino, B.A. & Vosoughi, S. Quantifying participation biases on social media. EPJ Data Sci. 12, 26 (2023). https://doi.org/10.1140/epjds/s13688-023-00405-6

  16. Mind's Eye: Grounded Language Model Reasoning through Simulation
    Ruibo Liu, Jason Wei, Shixiang Shane Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, and Andrew M. Dai
    ICLR 2023

    Liu, R., Wei, J., Gu, S.S., Wu, T.Y., Vosoughi, S., Cui, C., Zhou, D. & Dai, A.M. (2023). Mind's Eye: Grounded Language Model Reasoning through Simulation. In the 2023 International Conference on Learning Representations.

  17. Language Models are Multilingual Chain-of-Thought Reasoners
    Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, and Jason Wei
    ICLR 2023

    Shi, F., Suzgun, M., Freitag, M., Wang, X., Srivats, S., Vosoughi, S., Chung, H.W., Tay, Y., Ruder, S., Zhou, D., Das, D. & Wei, J. (2023). Language Models are Multilingual Chain-of-Thought Reasoners. In the 2023 International Conference on Learning Representations.

  18. Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
    Yiren Jian, Chongyang Gao, Chen Zeng, Yunjie Zhao, and Soroush Vosoughi
    Under Review

    Jian, Y., Gao, C., Zeng, C., Zhao, Y., & Vosoughi, S. (2023). Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task. arXiv preprint arXiv:2302.06120.

  19. HiTAIC: hierarchical tumor artificial intelligence classifier traces tissue of origin and tumor type in primary and metastasized tumors using DNA methylation
    Ze Zhang, Yunrui Lu, Soroush Vosoughi, Joshua J Levy, Brock C Christensen, and Lucas A Salas
    NAR Cancer

    Zhang, Z., Lu, Y., Vosoughi, S., Levy, J. J., Christensen, B. C., & Salas, L. A. (2023). HiTAIC: hi erarchical tumor artificial intelligence classifier traces tissue of origin and tumor type in primary and metastasized tumors using DNA methylation. NAR cancer, 5(2), zcad017.

  20. Towards Sentence Level Inference Attack Against Pre-trained Language Models
    Kang Gu, Ehsanul Kabir, Neha Ramsurrun, Soroush Vosoughi, and Shagufta Mehnaz
    PoPETs 2023

    Gu, K., Kabir, E., Ramsurrun, N., Vosoughi, S., Mehnaz, S. (2023). Towards Sentence Level Inference Attack Against Pre-trained Language Models. Proceedings on Privacy Enhancing Technologies, 3, 62-78.

  21. Joint Latent Topic Discovery and Expectation Modeling for Financial Markets
    Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, and Soroush Vosoughi
    PAKDD 2023

    Wang, L., Huang, C., Gao, C., Ma, W., & Vosoughi, S. (2023). Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. In Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III (pp. 45-57). Cham: Springer Nature Switzerland.

  22. Evaluating native-like structures of RNA-protein complexes through the deep learning method
    Chengwei Zeng, Yiren Jian, Soroush Vosoughi, Chen Zeng and Yunjie Zhao
    Nature Communications

    Zeng, C., Jian, Y., Vosoughi, S., Zeng, C. & Zhao, Y. (2023). Evaluating native-like structures of RNA-protein complexes through the deep learning method. Nat Commun 14, 1060 (2023).

  23. Graph-Level Embedding for Time-Evolving Graphs
    Lili Wang, Chenghan Huang, Xinyuan Cao, Weicheng Ma, and Soroush Vosoughi
    WWW '23 Companion

    Wang, L., Huang, C., Cao, X., Ma, W., & Vosoughi, S. (2023). Graph-Level Embedding for Time-Evolving Graphs. In Companion Proceedings of the ACM Web Conference 2023 (pp. 5-8).

  24. Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation
    Catherine C. Pollack, Diane Gilbert-Diamond, Tracy Onega, Soroush Vosoughi, A. James O'Malley, and Jennifer A. Emond
    JMIR Infodemiology

    Pollack, C., Gilbert-Diamond, D., Onega, T., Vosoughi, S., O'Malley, A.J., & Emond, J. (2023). Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation. JMIR Infodemiology, 3.

  25. Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
    Ruibo Liu, Chenyan Jia, Ge Zhang, Ziyu Zhuang, Tony X Liu, and Soroush Vosoughi
    NeurIPS 2022

    Liu, R., Jia, C., Zhang, G., Zhuang, Z., Liu, T., & Vosoughi, S. (2022). Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits. Advances in Neural Information Processing Systems 35 (2022).

  26. Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
    Yiren Jian, Chongyang Gao, and Soroush Vosoughi
    NeurIPS 2022

    Jian, Y., Gao, C., & Vosoughi, S. (2022). Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings. Advances in Neural Information Processing Systems 35 (2022).

  27. Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking
    Huang, Chenghan, Lili Wang, Xinyuan Cao, Weicheng Ma, and Soroush Vosoughi
    NeurIPS 2022 Temporal Graph Learning Workshop

    Huang, C., Wang, L., Cao, X., Ma, W., & Vosoughi, S. (2022). Learning Dynamic Graph Embeddings Using Random Walk With Temporal Backtracking. In NeurIPS 2022 Temporal Graph Learning Workshop.

  28. Accurate intercensal estimates of energy access to track Sustainable Development Goal 7
    Neeti Pokhriyal, Emmanuel Letouzé, and Soroush Vosoughi
    EPJ Data Science

    Pokhriyal, N., Letouzé, E., & Vosoughi, S. (2022). Accurate intercensal estimates of energy access to track Sustainable Development Goal 7. EPJ Data Science, 11(1), 1-22.

  29. Capturing Topic Framing via Masked Language Modeling
    Xiaobo Guo, Weicheng Ma, and Soroush Vosoughi
    Findings of EMNLP 2022

    Guo, G., Ma , W. & Vosoughi, S. (2022). Capturing Topic Framing via Masked Language Modeling. Findings of the Association for Computational Linguistics: EMNLP 2022.

  30. Contrastive Learning for Prompt-based Few-shot Language Learners
    Yiren Jian, Chongyang Gao, and Soroush Vosoughi
    NAACL 2022

    Jian, Y., Gao, C., & Vosoughi, S. (2022). Contrastive Learning for Prompt-Based Few-Shot Language Learners. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics.

  31. Embedding Hallucination for Few-Shot Language Fine-Tuning
    Yiren Jian, Chongyang Gao, and Soroush Vosoughi
    NAACL 2022

    Jian, Y., Gao, C., & Vosoughi, S. (2022). Embedding Hallucination for Few-Shot Language Fine-Tuning. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics.

  32. TWEETSPIN: Fine-Grained Propaganda Detection in Social Media Using Multi-View Representations
    Prashanth Vijayaraghavan and Soroush Vosoughi
    NAACL 2022

    Vijayaraghavan, P. & Vosoughi, S. (2022). TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics.

  33. Aligning Generative Language Models with Human Values
    Ruibo Liu, Ge Zhang, Xinyu Feng, and Soroush Vosoughi
    Findings of NAACL 2022

    Liu, R., Zhang, G., Feng, X, & Vosoughi, S. (2022). Aligning Generative Language Models with Human Values. Findings of the Association for Computational Linguistics: NAACL 2022.

  34. Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm
    Rishik Lad, Weicheng Ma, and Soroush Vosoughi
    SemEval @ NAACL 2022

    Lad, R., Ma, W., & Vosoughi, S. (2022). Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 912-918).

  35. DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation
    Joseph Hajjar, Weicheng Ma, and Soroush Vosoughi
    SemEval @ NAACL 2022

    Hajjar, J., Ma, W., & Vosoughi, S. (2022). DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (pp. 1157-1162).

  36. A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter
    Xiaobo Guo and Soroush Vosoughi
    ICWSM 2022

    Guo, X., & Vosoughi, S. (2022). A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1245-1250.

  37. Measuring Media Bias via Masked Language Modeling
    Xiaobo Guo, Weicheng Ma, and Soroush Vosoughi
    ICWSM 2022

    Guo, X., Ma, W., & Vosoughi, S. (2022). Measuring Media Bias via Masked Language Modeling. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1404-1408.

  38. Non-Parallel Text Style Transfer with Self-Parallel Supervision
    Ruibo Liu, Chongyang Gao, Chenyan Jia, Guangxuan Xu, and Soroush Vosoughi
    ICLR 2022

    Liu, R., Gao, C., Jia, C., Xu, G., & Vosoughi, S. (2022). Non-Parallel Text Style Transfer with Self-Parallel Supervision. In International Conference on Learning Representations.

  39. Knowledge Infused Decoding
    Ruibo Liu, Guoqing Zheng, Shashank Gupta, Radhika Gaonkar, Chongyang Gao, Soroush Vosoughi, Milad Shokouhi, and Ahmed Hassan Awadallah
    ICLR 2022

    Liu, R., Zheng, G., Gupta, S., Gaonkar, R., Gao, C., Vosoughi, S., Milad, S., & Awadallah, A. H. (2022). Knowledge Infused Decoding. In International Conference on Learning Representations.

  40. EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English
    Weicheng Ma, Samiha Datta, Lili Wang, and Soroush Vosoughi
    Findings of the ACL 2022

    Ma, W., Datta, S., Wang, L., & Vosoughi, S. (2022). EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English. In Findings of the Association for Computational Linguistics: ACL 2022, 2811-2823.

  41. Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study
    Catherine C. Pollack, Jennifer A. Emond, A. James O'Malley, Anna I. Byrd, Peter C. Green, Katherine E. Miller, Soroush Vosoughi, Diane Gilbert-Diamond, and Tracy Onega
    Journal of Medical Internet Research (JMIR)

    Pollack, C., Emond, A., O'Malley, J., Byrd, A., Green, P., Miller, E., Vosoughi, S., Gilbert-Diamond, D., & Onega, T. (2022). Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study. Journal of Medical Internet Research (JMIR), 24(12), e36729.

  42. Quantifying and Alleviating Political Bias in Language Models
    Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, and Soroush Vosoughi
    Journal of Artificial Intelligence

    Liu, R., Jia, C., Wei, J., Xu, G., & Vosoughi, S. (2022). Quantifying and Alleviating Political Bias in Language Models. Artificial Intelligence, 103654. https://doi.org/10.1016/j.artint.2021.103654

  43. GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
    Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, and Soroush Vosoughi
    EMNLP 2021

    Ma, W., Lou, R., Zhang, K., Wang, L., & Vosoughi, S. (2021). GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 5621-5632.

  44. Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks.
    Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, and Soroush Vosoughi
    ACL 2021

    Ma, W., Zhang, K., Lou, R., Wang, L., & Vosoughi, S. (2021). Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 1956–1966. https://doi.org/10.18653/v1/2021.acl-long.152

  45. Language Model Augmented Relevance Score.
    Ruibo Liu, Jason Wei, and Soroush Vosoughi
    ACL 2021

    Liu, R., Wei, J., & Vosoughi, S. (2021). Language Model Augmented Relevance Score. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 6677–6690. https://doi.org/10.18653/v1/2021.acl-long.521

  46. Modulating Language Models with Emotions.
    Ruibo Liu, Jason Wei, Chenyan Jia, and Soroush Vosoughi
    Findings of the ACL 2021

    Liu, R., Wei, J., Jia, C., & Vosoughi, S. (2021). Modulating Language Models with Emotions. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 4332–4339. https://doi.org/10.18653/v1/2021.findings-acl.379

  47. Survey of Data Augmentation Approaches for NLP.
    Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy
    Findings of the ACL 2021

    Feng, S., Gangal, V., Wei, J., Chandar, S., Vosoughi, S., Mitamura, T., & Hovy, E. (2021). A Survey of Data Augmentation Approaches for NLP. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 968–988. https://doi.org/10.18653/v1/2021.findings-acl.84

  48. Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks
    Lili Wang, Chenghan Huang, Ying Lu, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi
    ACM TOIS

    Wang, L., Huang, C., Lu, Y., Ma, W., Liu, R., & Vosoughi, S. (2021). Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks. ACM Transactions on Information Systems, 40(3), 1–21. https://doi.org/10.1145/3472955

  49. An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media Data
    Neeti Pokhriyal, Benjamin Valentino, and Soroush Vosoughi
    ACM/IMS Transactions on Data Science

    Pokhriyal, N., Valentino, B., & Vosoughi, S. (2021). An Interpretable Model for Real-time Tracking of Economic Indicators Using Social Media Data. ACM/IMS Transactions on Data Science, 2(4), 1–32. https://doi.org/10.1145/3498332

  50. SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports.
    Kang Gu, Soroush Vosoughi, and Temiloluwa Prioleau
    ACM TMIS

    Gu, K., Vosoughi, S., & Prioleau, T. (2021). SymptomID: A Framework for Rapid Symptom Identification in Pandemics Using News Reports. ACM Transactions on Management Information Systems (TMIS), 12(4), 1-17. https://doi.org/10.1145/3462441

  51. Embedding Node Structural Role Identity Using Stress Majorization.
    Lili Wang, Chenghan Huang, Weicheng Ma, Ying Lu, and Soroush Vosoughi
    CIKM 2021

    Wang, L., Huang, C., Ma, W., Lu, Y., & Vosoughi, S. (2021). Embedding Node Structural Role Identity Using Stress Majorization. In proceedings of the 30th ACM International Conference on Information & Knowledge Management, 3473–3477. https://doi.org/10.1145/3459637.3482095

  52. Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization.
    Lili Wang*, Chenghan Huang*, Weicheng Ma, Xinyuan Cao, and Soroush Vosoughi. (*Equal Contribution)
    CIKM 2021

    Wang, L., Huang, C., Ma, W., Cao, X., & Vosoughi, S. (2021). Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization. Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 3478–3482. https://doi.org/10.1145/3459637.3482115

  53. A national evaluation of geographic accessibility and provider availability of obesity medicine diplomates in the United States between 2011 and 2019
    Catherine C. Pollack, Tracy Onega, Jennifer A. Emond, Soroush Vosoughi, A. James O’Malley, Auden C. McClure, Richard I. Rothstein, and Diane Gilbert-Diamond
    International Journal of Obesity

    Pollack, C. C., Onega, T., Emond, J. A., Vosoughi, S., O’Malley, A. J., McClure, A. C., Rothstein, R. I., & Gilbert-Diamond, D. (2022). A national evaluation of geographic accessibility and provider availability of obesity medicine diplomates in the United States between 2011 and 2019. International Journal of Obesity. https://doi.org/10.1038/s41366-021-01024-9

  54. Hyperbolic node embedding for temporal networks.
    Lili Wang, Chenghan Huang, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi
    Data Mining and Knowledge Discovery

    Wang, L., Huang, C., Ma, W., Liu, R., & Vosoughi, S. (2021). Hyperbolic node embedding for temporal networks. Data Mining and Knowledge Discovery, 35(5), 1906–1940. https://doi.org/10.1007/s10618-021-00774-4

  55. Using impression data to improve models of online social influence.
    Rui Liu, Kevin T. Greene, Ruibo Liu, Mihovil Mandic, Benjamin A. Valentino, Soroush Vosoughi, and V. S. Subrahmanian
    Scientific Reports

    Liu, R., Greene, K. T., Liu, R., Mandic, M., Valentino, B. A., Vosoughi, S., & Subrahmanian, V. S. (2021). Using impression data to improve models of online social influence. Scientific Reports, 11(1), 16613. https://doi.org/10.1038/s41598-021-96021-3

  56. Improvements and Extensions on Metaphor Detection.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    UnImplicit @ ACL-IJCNLP 2021

    Ma, W., Liu, R., Wang, L., & Vosoughi, S. (2021). Improvements and Extensions on Metaphor Detection. Proceedings of the 1st Workshop on Understanding Implicit and Underspecified Language, 33–42. https://doi.org/10.18653/v1/2021.unimplicit-1.5

  57. BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models.
    Aadil Islam, Weicheng Ma, and Soroush Vosoughi
    SemEval @ ACL-IJCNLP 2021

    Islam, A., Ma, W., & Vosoughi, S. (2021). BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 667–677. https://doi.org/10.18653/v1/2021.semeval-1.86

  58. Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic.
    Yakoob Khan, Weicheng Ma, and Soroush Vosoughi
    SemEval @ ACL-IJCNLP 2021

    Khan, Y., Ma, W., & Vosoughi, S. (2021). Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic. Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 967–973. https://doi.org/10.18653/v1/2021.semeval-1.132

  59. Linguistic Complexity Loss in Text-Based Therapy.
    Jason Wei, Kelly Finn, Emma Templeton, Thalia Wheatley, and Soroush Vosoughi
    NAACL 2021

    Wei, J., Finn, K., Templeton, E., Wheatley, T., & Vosoughi, S. (2021). Linguistic Complexity Loss in Text-Based Therapy. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 4450–4459. https://doi.org/10.18653/v1/2021.naacl-main.352

  60. Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning.
    Jason Wei, Chengyu Huang, Soroush Vosoughi, Yu Cheng, and Shiqi Xu
    NAACL 2021

    Wei, J., Huang, C., Vosoughi, S., Cheng, Y., & Xu, S. (2021). Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 5493–5500. https://doi.org/10.18653/v1/2021.naacl-main.434

  61. Text Augmentation in a Multi-Task View.
    Jason Wei, Chengyu Huang, Shiqi Xu, and Soroush Vosoughi
    EACL 2021

    Wei, J., Huang, C., Xu, S., & Vosoughi, S. (2021). Text Augmentation in a Multi-Task View. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2888–2894. https://aclanthology.org/2021.eacl-main.252

  62. Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles.
    Ruibo Liu, Chenyan Jia, and Soroush Vosoughi
    CSCW 2021

    Liu, R., Jia, C., & Vosoughi, S. (2021). A Transformer-based Framework for Neutralizing and Reversing the Political Polarity of News Articles. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–26. https://doi.org/10.1145/3449139

  63. Mitigating Political Bias in Language Models Through Reinforced Calibration. (Best Paper Award!)
    Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, and Soroush Vosoughi
    AAAI 2021

    Liu, R., Jia, C., Wei, J., Xu, G., Wang, L., & Vosoughi, S. (2021). Mitigating Political Bias in Language Models through Reinforced Calibration. Proceedings of the AAAI Conference on Artificial Intelligence, 35(17), 14857–14866.

  64. Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path.
    Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, and Soroush Vosoughi
    AAAI 2021

    Wang, L., Gao, C., Huang, C., Liu, R., Ma, W., & Vosoughi, S. (2021). Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. Proceedings of the AAAI Conference on Artificial Intelligence, 35(11), 10147-10155. https://doi.org/10.1609/aaai.v35i11.17217

  65. Political Depolarization of News Articles Using Attribute-aware Word Embeddings.
    Ruibo Liu, Lili Wang, Chenyan Jia, and Soroush Vosoughi
    ICWSM 2021

    Liu, R., Wang, L., Jia, C., & Vosoughi, S. (2021). Political Depolarization of News Articles Using Attribute-Aware Word Embeddings. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 385–396.

  66. Emotion-based Modeling of Mental Disorders on Social Media
    Xiaobo Guo, Yaojia Sun, and Soroush Vosoughi
    WI-IAT 2021

    Guo, X., Yojia, S., & Vosoughi, S. (2021). Emotion-based Modeling of Mental Disorders on Social Media. In Proceedings of the 2021 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

  67. Feature Selection for Multivariate Time Series via Network Pruning
    Kang Gu, Soroush Vosoughi, and Temiloluwa Prioleau
    Systematic Feature Engineering for Time-Series Data Mining (SFE-TSDM) @ ICDM 2021

    Gu, K., Vosoughi, S., & Prioleau, T. (2021). Feature Selection for Multivariate Time Series via Network Pruning. In 2021 IEEE International Conference on Data Mining Workshops (ICDMW), 1017–1024. https://doi.org/10.1109/ICDMW53433.2021.00132

  68. Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.
    Ruibo Liu, Guangxuan Xu, Chenyan Jia, Weicheng Ma, Lili Wang, and Soroush Vosoughi
    EMNLP 2020

    Liu, R., Xu, G., Jia, C., Ma, W., Wang, L., & Vosoughi, S. (2020). Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 9031–9041. https://doi.org/10.18653/v1/2020.emnlp-main.726

  69. Multi-resolution Annotations for Emoji Prediction.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    EMNLP 2020

    Ma, W., Liu, R., Wang, L., & Vosoughi, S. (2020). Multi-resolution Annotations for Emoji Prediction. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 6684–6694. https://doi.org/10.18653/v1/2020.emnlp-main.542

  70. Multi-modal Identification of State-Sponsored Propaganda on Social Media.
    Xiaobo Guo, and Soroush Vosoughi
    ICPR 2020

    Guo, X., & Vosoughi, S. (2021). Multi-Modal Identification of State-Sponsored Propaganda on Social Media. 2020 25th International Conference on Pattern Recognition (ICPR), 10576–10583. https://doi.org/10.1109/ICPR48806.2021.9412672

  71. Embedding Node Structural Role Identity into Hyperbolic Space.
    Lili Wang, Ying Lu, Chenghan Huang, and Soroush Vosoughi
    CIKM 2020

    Wang, L., Lu, Y., Huang, C., & Vosoughi, S. (2020). Embedding Node Structural Role Identity into Hyperbolic Space. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2253–2256. https://doi.org/10.1145/3340531.3412102

  72. Social media data reveals signal for public consumer perceptions.
    Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, and Soroush Vosoughi
    ICAIF 2020

    Pokhriyal, N., Dara, A., Valentino, B., & Vosoughi, S. (2020). Social media data reveals signal for public consumer perceptions. Proceedings of the First ACM International Conference on AI in Finance, 1–8. https://doi.org/10.1145/3383455.3422556

  73. Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks.
    Lili Wang, Ruibo Liu, and Soroush Vosoughi
    ICMR 2020

    Wang, L., Liu, R., & Vosoughi, S. (2020). Salienteye: Maximizing Engagement While Maintaining Artistic Style on Instagram Using Deep Neural Networks. Proceedings of the 2020 International Conference on Multimedia Retrieval, 331–335. https://doi.org/10.1145/3372278.3390736

  74. An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data.
    Lili Wang, Chongyang Gao, Jason Wei, Weicheng Ma, Ruibo Liu, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Wang, L., Gao, C., Wei, J., Ma, W., Liu, R., & Vosoughi, S. (2020). An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data. Proceedings of the Sixth Workshop on Noisy User-Generated Text (W-NUT 2020), 209–214. https://doi.org/10.18653/v1/2020.wnut-1.27

  75. What Are People Asking About COVID-19? A Question Classification Dataset.
    Jerry Wei, Chengyu Huang, Soroush Vosoughi, and Jason Wei
    Workshop on NLP for COVID-19 @ ACL 2020

    Wei, J., Huang, C., Vosoughi, S., & Wei, J. (2020). What Are People Asking About COVID-19? A Question Classification Dataset. Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. https://aclanthology.org/2020.nlpcovid19-acl.8

  76. Enhanced Offensive Language Detection Through Data Augmentation.
    Ruibo Liu, Guangxuan Xu, and Soroush Vosoughi
    Data Challenge @ ICWSM 2020

    Liu, R., Xu, G., & Vosoughi, S. (2020). Enhanced Offensive Language Detection Through Data Augmentation. In ICWSM 2020 Data Challenge.

  77. Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research.
    Jiachen Jiang, and Soroush Vosoughi
    FATE @ ACM Multimedia 2020

    Jiang, J., & Vosoughi, S. (2020). Not Judging a User by Their Cover: Understanding Harm in Multi-Modal Processing within Social Media Research. Proceedings of the 2nd International Workshop on Fairness, Accountability, Transparency and Ethics in Multimedia, 6–12. https://doi.org/10.1145/3422841.3423534

  78. Emoji Prediction: Extensions and Benchmarking.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    WISDOM @ KDD 2020

    Ma, W., Liu, R., Wang, L., & Vosoughi, S. (2020). Emoji Prediction: Extensions and Benchmarking. Proceedings of the 9th Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM ’20) at KDD 2020.

  79. Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification.
    Chris Miller, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Miller, C., & Vosoughi, S. (2020). Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification. Proceedings of the Sixth Workshop on Noisy User-Generated Text (W-NUT 2020), 281–285. https://doi.org/10.18653/v1/2020.wnut-1.36

  80. Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT.
    Dylan Whang, and Soroush Vosoughi
    W-NUT @ EMNLP 2020

    Whang, D., & Vosoughi, S. (2020). Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT. Proceedings of the Sixth Workshop on Noisy User-Generated Text (W-NUT 2020), 480–484. https://doi.org/10.18653/v1/2020.wnut-1.72

  81. Style Change Detection Using BERT.
    Aarish Iyer, and Soroush Vosoughi
    PAN @ CLEF 2020

    Iyer, A., & Vosoughi, S. (2020). Style Change Detection Using BERT. In CLEF 2020 Labs and Workshops, Notebook Papers. CEUR-WS.org.

  82. Me, My Echo Chamber, and I: Introspection on Social Media Polarization. (Honorable Mentions!)
    Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, and Deb Roy
    TheWebConf (WWW) 2018

    Gillani, N., Yuan, A., Saveski, M., Vosoughi, S., & Roy, D. (2018). Me, My Echo Chamber, and I: Introspection on Social Media Polarization. Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW ’18, 823–831. https://doi.org/10.1145/3178876.3186130

  83. The Spread of True and False News Online.
    Soroush Vosoughi, Deb Roy, and Sinan Aral
    Science

    Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146–1151. https://doi.org/10.1126/science.aap9559

  84. Dense home-based recordings reveal typical and atypical development of tense/aspect in a child with delayed language development.
    Iris Chin, Matthew S. Goodwin, Soroush Vosoughi, Deb Roy, and Letita R. Naigles
    Journal of Child Language

    Chin, I., Goodwin, M. S., Vosoughi, S., Roy, D., & Naigles, L. R. (2018). Dense home-based recordings reveal typical and atypical development of tense/aspect in a child with delayed language development. Journal of Child Language, 45(1), 1–34. https://doi.org/10.1017/S0305000916000696

  85. Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning.
    Prashanth Vijayaraghavan*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    ACL 2017

    Vijayaraghavan, P., Vosoughi, S., & Roy, D. (2017). Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 478–483. https://doi.org/10.18653/v1/P17-2076

  86. Rumor Gauge: Predicting the Veracity of Rumors on Twitter.
    Soroush Vosoughi, Mostafa ‘Neo’ Mohsenvand, and Deb Roy
    ACM Transactions of KDD (TKDD)

    Vosoughi, S., Mohsenvand, M. ‘Neo,’ & Roy, D. (2017). Rumor Gauge: Predicting the Veracity of Rumors on Twitter. ACM Transactions on Knowledge Discovery from Data, 11(4), 1–36. https://doi.org/10.1145/3070644

  87. Mapping Twitter Conversation Landscapes.
    Soroush Vosoughi*, Prashanth Vijayaraghavan*, Ann Yuan, and Deb Roy. (*Equal Contribution)
    ICWSM 2017

    Vosoughi, S., Vijayaraghavan, P., Yuan, A., & Roy, D. (2017). Mapping Twitter Conversation Landscapes. Proceedings of the International AAAI Conference on Web and Social Media, 11(1), 684–687.

  88. TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter.
    Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, and Deb Roy
    IUI 2017 Companion

    Vijayaraghavan, P., Vosoughi, S., Yuan, A., & Roy, D. (2017). TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter. Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion, 145–148. https://doi.org/10.1145/3030024.3040979

  89. Tweet2Vec: Learning Tweet Embeddings using Character-level CNN-LSTM Encoder-Decoder.
    Soroush Vosoughi*, Prashanth Vijayaraghavan*, and Deb Roy. (*Equal Contribution)
    SIGIR 2016

    Vosoughi, S., Vijayaraghavan, P., & Roy, D. (2016). Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder. Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1041–1044. https://doi.org/10.1145/2911451.2914762

  90. A Semi-automatic Method for Efficient Detection of Stories on Social Media.
    Soroush Vosoughi, and Deb Roy
    ICWSM 2016

    Vosoughi, S., & Roy, D. (2016). A Semi-Automatic Method for Efficient Detection of Stories on Social Media. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 707–710.

  91. Tweet Acts: A Speech Act Classifier for Twitter.
    Soroush Vosoughi, and Deb Roy
    ICWSM 2016

    Vosoughi, S., & Roy, D. (2016). Tweet Acts: A Speech Act Classifier for Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 711–714.

  92. Automatic Detection and Categorization of Election-Related Tweets.
    Prashanth Vijayaraghavan*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    ICWSM 2016

    Vijayaraghavan, P., Vosoughi, S., & Roy, D. (2016). Automatic Detection and Categorization of Election-Related Tweets. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 703–706.

  93. DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs.
    Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi, and Deb Roy
    SemEval @ NAACL-HLT 2016

    Vijayaraghavan, P., Sysoev, I., Vosoughi, S., & Roy, D. (2016). DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs. Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 413–419. https://doi.org/10.18653/v1/S16-1067

  94. Human Atlas: A Tool for Mapping Social Networks.
    Martin Saveski, Eric Chu, Soroush Vosoughi, and Deb Roy
    WWW 2016 Companion

    Saveski, M., Chu, E., Vosoughi, S., & Roy, D. (2016). Human Atlas: A Tool for Mapping Social Networks. Proceedings of the 25th International Conference Companion on World Wide Web - WWW ’16 Companion, 247–250. https://doi.org/10.1145/2872518.2890552

  95. Digital Stylometry: Linking Profiles Across Social Networks.
    Soroush Vosoughi, Helen Zhou, and Deb Roy
    SocInfo 2015

    Vosoughi, S., Zhou, H., & Roy, D. (2015). Digital Stylometry: Linking Profiles Across Social Networks. In International Conference on Social Informatics (pp. 164-177). Springer, Cham.

  96. A Human-Machine Collaborative System for Identifying Rumors on Twitter.
    Soroush Vosoughi, and Deb Roy
    Event Analytics using Social Media Data (EASM) @ ICDM 2015

    Vosoughi, S., & Roy, D. (2015). A Human-Machine Collaborative System for Identifying Rumors on Twitter. In 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 47–50. https://doi.org/10.1109/ICDMW.2015.221

  97. Enhanced Twitter Sentiment Classification Using Contextual Information.
    Soroush Vosoughi, Helen Zhou, and Deb Roy
    Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA) @ EMNLP 2015

    Vosoughi, S., Zhou, H., & Roy, D. (2015). Enhanced Twitter Sentiment Classification Using Contextual Information. Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 16–24. https://doi.org/10.18653/v1/W15-2904

  98. Grounding language models in spatiotemporal context.
    Brandon C. Roy, Soroush Vosoughi, and Deb Roy
    Interspeech 2014

    Roy, B. C., Vosoughi, S., & Roy, D. (2014). Grounding language models in spatiotemporal context. In Fifteenth Annual Conference of the International Speech Communication Association (INTERSPEECH).

  99. Improving automatic speech recognition through head pose driven visual grounding.
    Soroush Vosoughi
    CHI 2014

    Vosoughi, S. (2014). Improving automatic speech recognition through head pose driven visual grounding. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 3235–3238. https://doi.org/10.1145/2556288.2556957

  100. A portable audio/video recorder for longitudinal study of child.
    Soroush Vosoughi, Matthew S. Goodwin, Bill Washabaugh, and Deb Roy
    ICMI 2012

    Vosoughi, S., Goodwin, M. S., Washabaugh, B., & Roy, D. (2012). A portable audio/video recorder for longitudinal study of child development. Proceedings of the 14th ACM International Conference on Multimodal Interaction (pp. 193-200). https://doi.org/10.1145/2388676.2388715

  101. An Automatic Child-Directed Speech Detector for the Study of Child Language Development.
    Soroush Vosoughi, and Deb Roy
    Interspeech 2012

    Vosoughi, S., & Roy, D. (2012). An Automatic Child-Directed Speech Detector for the Study of Child Language Development. In Thirteenth Annual Conference of the International Speech Communication Association (INTERSPEECH).

  102. A longitudinal study of prosodic exaggeration in child-directed speech.
    Soroush Vosoughi, and Deb Roy
    Speech Prosody 2012

    Vosoughi, S., & Roy, D. (2012). A Longitudinal Study of Prosodic Exaggeration in Child-directed Speech. In 7th International Conference on Speech Prosody.

  103. Automatic Estimation of Transcription Accuracy and Difficulty.
    Brandon C. Roy*, Soroush Vosoughi*, and Deb Roy. (*Equal Contribution)
    Interspeech 2010

    Roy, B. C., Vosoughi, S., & Roy, D. (2010). Automatic Estimation of Transcription Accuracy and Difficulty. In Eleventh Annual Conference of the International Speech Communication Association (INTERSPEECH).

  104. Contributions of Prosodic and Distributional Features of Caregivers’ Speech in Early Word Learning.
    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy
    CogSci 2010

    Vosoughi, S., Roy, B., Frank, M., & Roy, D. (2010). Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 32, No. 32).

  105. Effects of Caregiver Prosody on Child Language Acquisition.
    Soroush Vosoughi, Brandon C. Roy, Michael C. Frank, and Deb Roy
    Speech Prosody 2010

    Vosoughi, S., Roy, B. C., Frank, M. C., & Roy, D. (2010). Effects of Caregiver Prosody on Child Language Acquisition. In 5th International Conference on Speech Prosody.

  106. Object Schemas for Grounding Language in a Responsive Robot.
    Kai-yuh Hsiao, Stefanie Tellex, Soroush Vosoughi, Rony Kubat, and Deb Roy
    Connection Science

    Hsiao, K., Tellex, S., Vosoughi, S., Kubat, R., & Roy, D. (2008). bject Schemas for Grounding Language in a Responsive Robot. Connection Science, 20(4), 253–276. https://doi.org/10.1080/09540090802445113

  107. Object Schemas for Responsive Robotic Language Use.
    Kai-yuh Hsiao, Soroush Vosoughi, Stefanie Tellex, Rony Kubat, and Deb Roy
    HRI 2008

    Hsiao, K., Vosoughi, S., Tellex, S., Kubat, R., & Roy, D. (2008). Object Schemas for Responsive Robotic Language Use. Proceedings of the 3rd International Conference on Human Robot Interaction (pp. 233-240). https://doi.org/10.1145/1349822.1349853


    108. Peer Reviewed Abstracts

  108. Geographic and Practical Access to American Board of Obesity Medicine Diplomates from 2011 to 2019.
    Catherine C. Pollack, Tracy Onega, Jennifer A. Emond, Soroush Vosoughi, James A. O'Malley, Auden McClure, Richard Rothstein, and Diane Gilbert-Diamond
    Annual Meeting of The Obesity Society 2021

    Pollack, C., Onega, T., Emond, J., Vosoughi, S., O'Malley, A. J., McClure, A.C., Rothstein, R.I., & Gilbert-Diamond, D. (2021, December). Geographic and Practical Access to American Board of Obesity Medicine Diplomates from 2011 to 2019. In OBESITY (Vol. 29, pp. 16-16). https://doi.org/10.1002/oby.23328

  109. A Data Science Approach to Evaluate County Trends in Obesity Diplomate Accessibility Over Time.
    Catherine C. Pollack, Tracy Onega, Jennifer A. Emond, Soroush Vosoughi, James A. O'Malley, and Diane Gilbert-Diamond
    Annual Meeting of The Obesity Society 2020

    Pollack, C., Onega, T., Emond, J., Vosoughi, S., O'Malley, A. J., & Gilbert-diamond, D. (2020, November). A Data Science Approach to Evaluate County Trends in Obesity Diplomate Accessibility Over Time. In OBESITY (Vol. 28, pp. 42-42). https://doi.org/10.1002/oby.23063

  110. Assessing countrywide socio-economic deprivations using auxiliary data sets.
    Neeti Pokhriyal, Soroush Vosoughi
    AI in Africa for Sustainable Economic Development 2020

    Pokhriyal, N., & Vosoughi, S. (2020). Assessing countrywide socio-economic deprivations using auxiliary data sets. Workshop on AI in Africa for Sustainable Economic Development at ICAIF 2020.

  111. Addressing the Demographic Bias on Twitter.
    Soroush Vosoughi, Russell Stevens, and Deb Roy
    AAPOR 2016

    Vosoughi, S., Stevens, R., & Roy, D. (2016). Addressing the Demographic Bias on Twitter. The 71st Annual Conference of the American Association for Public Opinion Research (AAPOR). Austin, Texas.

  112. Analyzing & Understanding Food Networks.
    Helen Zhou, Deb Roy, Soroush Vosoughi
    EECScon 2016

    Zhou, H., Roy, D., & Vosoughi, S. (2016). Analyzing & Understanding Food Networks. EECScon conference. Cambridge, MA.

  113. Dense Data Collection Through the Speechome Recorder Better Reveals Developmental Trajectories.
    Iris Chin, Soroush Vosoughi, Mathew Goodwin, Deb Roy and Letitia Naigles
    IMFAR 2013

    Chin, I., Vosoughi, S., Goodwin, M. S., Roy, D., & Naigles, L. (2013). Dense Data Collection Through the Speechome Recorder Better Reveals Developmental Trajectories. In the Extended Abstract of the International Meeting for Autism Research (IMFAR) 2013. San Sebastian, Spain.

  114. Verb use in a child previously diagnosed with ASD: Dense recordings reveal typical and atypical development.
    Iris Chin, Soroush Vosoughi, Emily Potrzeba, Mathew Goodwin, Deb Roy, and Letitia Naigles
    SRCD 2013

    Chin, I., Vosoughi, S., Potrzeba, E., Goodwin, M. S., Roy, D., & Naigles, L. (2013). Verb use in a child previously diagnosed with ASD: Dense recordings reveal typical and atypical development. In the Extended Abstract of the Biennial Meeting of the Society for Research in Child Development (SRCD) 2013. Seattle, Washington.

  115. Dense Recordings of Naturalistic Interactions Reveal both Typical and Atypical Speech in One Child with ASD.
    Iris Chin, Devin Rubin, Andrea Tovar, Soroush Vosoughi, Michelle Cheng, Emily Potrzeba, Mathew Goodwin, Deb Roy, and Letitia Naigles
    IMFAR 2012

    Chin, I., Rubin, D., Tovar, A., Vosoughi, S., Cheng, M., Potrzeba, E., Goodwin, M. S., Roy, D., & Naigles, L. (2012). Dense Recordings of Naturalistic Interactions Reveal both Typical and Atypical Speech in One Child with ASD. In the Extended Abstract of the International Meeting for Autism Research (IMFAR) 2012. Toronto, Canada.

    116. Commentaries

  116. Tackling misinformation: What researchers could do with social media data.
    Irene V. Pasquetto, Briony Swire-Thompson, Michelle A. Amazeen, Fabrício Benevenuto, Nadia M. Brashier, Robert M. Bond, Lia C. Bozarth, Ceren Budak, Ullrich K. H. Ecker, Lisa K. Fazio, Emilio Ferrara, Andrew J. Flanagin, Alessandro Flammini, Deen Freelon, Nir Grinberg, Ralph Hertwig, Kathleen Hall Jamieson, Kenneth Joseph, Jason J. Jones, R. Kelly Garrett, Daniel Kreiss, Shannon McGregor, Jasmine McNealy, Drew Margolin, Alice Marwick, FiIippo Menczer, Miriam J. Metzger, Seungahn Nah, Stephan Lewandowsky, Philipp Lorenz-Spreen, Pablo Ortellado, Gordon Pennycook, Ethan Porter, David G. Rand, Ronald Robertson, Francesca Tripodi, Soroush Vosoughi, Chris Vargo, Onur Varol, Brian E. Weeks, John Wihbey, Thomas J. Wood, & Kai-Cheng Yang
    The Harvard Kennedy School (HKS) Misinformation Review

    Pasquetto, I., Swire-Thompson, B., Amazeen, M.A., Benevenuto, F., Brashier, N.M., Bond, R.M., Bozarth, L.C., Budak, C., Ecker, U.K.H. , Fazio, L.K., Ferrara, E., Flanagin, A.J., Flammini, A., Freelon, D., Grinberg, N., Hertwig, R., Jamieson, K.H., Joseph, K., Jones, J.J. ... Yang, K.C. (2020). Tackling misinformation: What researchers could do with social media data. Harvard Kennedy School (HKS) Misinformation Review, 1(8). https://doi.org/10.37016/mr-2020-49

    117. Non-peer-reviewed Publications

  117. Query-Free Adversarial Transfer via Undertrained Surrogates
    Chris Miller and Soroush Vosoughi
    arXiv

    Miller, C., & Vosoughi, S. (2020). Query-Free Adversarial Transfer via Undertrained Surrogates. arXiv preprint arXiv:2007.00806. http://arxiv.org/abs/2007.00806

  118. Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding.
    Weicheng Ma, Ruibo Liu, Lili Wang, and Soroush Vosoughi
    arXiv

    Ma, W., Liu, R., Wang, L., & Vosoughi, S. (2020). Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding. arXiv preprint arXiv:2009.14445. http://arxiv.org/abs/2009.14445

  119. The Object Schema Model and Situational Context.
    Kai-yuh Hsiao and Soroush Vosoughi
    Technical Report

    Hsiao, K. & Vosoughi, S. (2009). The Object Schema Model and Situational Context. Technical Report.