The spread of true and false news online S Vosoughi, D Roy, S Aral science 359 (6380), 1146-1151, 2018 | 8706 | 2018 |
A Survey of Data Augmentation Approaches for NLP SY Feng, V Gangal, J Wei, S Chandar, S Vosoughi, T Mitamura, E Hovy Findings of the ACL 2021, 2021 | 738 | 2021 |
Rumor gauge: Predicting the veracity of rumors on Twitter S Vosoughi, MN Mohsenvand, D Roy ACM transactions on knowledge discovery from data (TKDD) 11 (4), 1-36, 2017 | 253 | 2017 |
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder S Vosoughi, P Vijayaraghavan, D Roy SIGIR 2016, 1041–1044, 2016 | 221 | 2016 |
Me, my echo chamber, and I: introspection on social media polarization N Gillani, A Yuan, M Saveski, S Vosoughi, D Roy WebConf (WWW) 2018, 823-831, 2018 | 189 | 2018 |
Automatic detection and verification of rumors on Twitter S Vosoughi Massachusetts Institute of Technology, 2015 | 160 | 2015 |
Language models are multilingual chain-of-thought reasoners F Shi, M Suzgun, M Freitag, X Wang, S Srivats, S Vosoughi, HW Chung, ... ICLR 2023, 2023 | 154 | 2023 |
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation R Liu, G Xu, C Jia, W Ma, L Wang, S Vosoughi EMNLP, 2020 | 101 | 2020 |
Tweet acts: A speech act classifier for twitter S Vosoughi, D Roy AAAI ICWSM 2016, 2016 | 90 | 2016 |
Tackling misinformation: What researchers could do with social media data IV Pasquetto, B Swire-Thompson, MA Amazeen, F Benevenuto, ... The Harvard Kennedy School Misinformation Review, 2020 | 84 | 2020 |
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs P Vijayaraghavan, I Sysoev, S Vosoughi, D Roy Proceedings of SemEval (2016), 413-419, 2016 | 83 | 2016 |
Mitigating Political Bias in Language Models Through Reinforced Calibration R Liu, C Jia, J Wei, G Xu, L Wang, S Vosoughi AAAI 2021 (Best Paper Award!), 2021 | 81 | 2021 |
Training Socially Aligned Language Models in Simulated Human Society R Liu, R Yang, C Jia, G Zhang, D Zhou, AM Dai, D Yang, S Vosoughi ICLR 2024, 2024 | 77 | 2024 |
Mind's Eye: Grounded Language Model Reasoning through Simulation R Liu, J Wei, SS Gu, TY Wu, S Vosoughi, C Cui, D Zhou, AM Dai ICLR 2023, 2023 | 68 | 2023 |
Enhanced Twitter Sentiment Classification Using Contextual Information S Vosoughi, H Zhou, D Roy 6th Workshop on Computational Approaches to Subjectivity, Sentiment and …, 2015 | 68 | 2015 |
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning P Vijayaraghavan, S Vosoughi, D Roy ACL 2017, 2017 | 59 | 2017 |
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning J Wei, C Huang, S Vosoughi, Y Cheng, S Xu NAACL 2021, 2021 | 56 | 2021 |
Automatic Detection and Categorization of Election-Related Tweets P Vijayaraghavan, S Vosoughi, D Roy AAAI ICWSM 2016, 2016 | 43 | 2016 |
Quantifying and alleviating political bias in language models R Liu, C Jia, J Wei, G Xu, S Vosoughi Artificial Intelligence 304, 103654, 2022 | 40 | 2022 |
What Are People Asking About COVID-19? A Question Classification Dataset J Wei, C Huang, S Vosoughi, J Wei Workshop on NLP for COVID-19 @ ACL 2020, 2020 | 40 | 2020 |