Publications

Peer Reviewed Conference and Journal Publications

  1. 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. (2022). 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

  2. 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.

  3. 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 [Paper to appear]

    Gu, K., Vosoughi, S., & Prioleau, T. (2021). Feature Selection for Multivariate Time Series via Network Pruning. In 2021 IEEE International Conference on Data Mining Workshop (ICDMW).

  4. 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

  5. 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

  6. 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

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

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

  8. 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 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. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 968–988. https://doi.org/10.18653/v1/2021.findings-acl.84

  9. 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. To appear in proceedings of the 30th ACM International Conference on Information & Knowledge Management, 3473–3477. https://doi.org/10.1145/3459637.3482095

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Mitigating Political Bias in Language Models Through Reinforced Calibration. (Best paper award!)
    Ruibo Liu, Chenyan Jia, Jason Wei, 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.

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

  22. 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.

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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, July). 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

  31. 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.

  32. 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

  33. 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.

  34. 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

  35. 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

  36. 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.

  37. 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

  38. The Spread of True and False News Online. (Cover Page)
    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

  39. 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

  40. 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

  41. 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

  42. 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.

  43. 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

  44. 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

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

    Vosoughi, S., & Roy, D. (2021). 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.

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

    Vosoughi, S., & Roy, D. (2021). Tweet Acts: A Speech Act Classifier for Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 711–714.

  47. 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. (2021). Automatic Detection and Categorization of Election-Related Tweets. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 703–706.

  48. 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

  49. 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

  50. 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.

  51. 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

  52. 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

  53. 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).

  54. 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

  55. 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

  56. 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).

  57. 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.

  58. 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).

  59. 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).

  60. 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.

  61. 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

  62. 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


  63. Peer Reviewed Abstracts

  64. 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

  65. 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.

  66. 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.

  67. 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.

  68. 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.

  69. 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.

  70. 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.

  71. Commentaries

  72. 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

  73. Non-peer-reviewed Publications

  74. 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

  75. 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

  76. 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.