COVID-19 misinformation and the 2020 US presidential election E Chen, H Chang, A Rao, K Lerman, G Cowan, E Ferrara The Harvard Kennedy School Misinformation Review, 2021 | 91 | 2021 |
Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis A Rao, F Morstatter, M Hu, E Chen, K Burghardt, E Ferrara, K Lerman Journal of medical Internet research 23 (6), e26692, 2021 | 78* | 2021 |
# RoeOverturned: Twitter Dataset on the Abortion Rights Controversy RC Chang*, A Rao*, Q Zhong*, M Wojcieszak, K Lerman Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 26 | 2023 |
Partisan asymmetries in exposure to misinformation A Rao, F Morstatter, K Lerman Scientific reports 12 (1), 15671, 2022 | 23 | 2022 |
Socioeconomic correlates of anti-science attitudes in the US M Hu, A Rao, M Kejriwal, K Lerman Future Internet 13 (6), 160, 2021 | 9 | 2021 |
Emotion regulation and dynamics of moral concerns during the early covid-19 pandemic S Guo, K Burghardt, A Rao, K Lerman arXiv preprint arXiv:2203.03608, 2022 | 7 | 2022 |
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions A Rao, S Guo, SYN Wang, F Morstatter, K Lerman 2023 IEEE International Conference on Big Data (BigData), 413-422, 2023 | 6* | 2023 |
Tracking a Year of Polarized Twitter Discourse on Abortion A Rao, RC Chang, Q Zhong, K Lerman, M Wojcieszak arXiv preprint arXiv:2311.16831, 2023 | 4 | 2023 |
Affective polarization and dynamics of information spread in online networks K Lerman, D Feldman, Z He, A Rao npj Complexity 1 (1), 8, 2024 | 3* | 2024 |
Socio-linguistic characteristics of coordinated inauthentic accounts K Burghardt, A Rao, G Chochlakis, B Sabyasachee, S Guo, Z He, ... Proceedings of the International AAAI Conference on Web and Social Media 18 …, 2024 | 3 | 2024 |
Retweets Amplify the Echo Chamber Effect A Rao, F Morstatter, K Lerman ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on …, 2024 | 3* | 2024 |
Whose Emotions and Moral Sentiments Do Language Models Reflect? Z He, S Guo, A Rao, K Lerman arXiv preprint arXiv:2402.11114, 2024 | 3 | 2024 |
Measuring online emotional reactions to offline events S Guo, Z He, A Rao, E Jang, Y Nan, F Morstatter, J Brantingham, ... arXiv preprint arXiv:2307.10245, 2023 | 3 | 2023 |
Identifying shifts in collective attention to topics on social media Y He, A Rao, K Burghardt, K Lerman Social, Cultural, and Behavioral Modeling: 14th International Conference …, 2021 | 3 | 2021 |
Reading between the tweets: Deciphering ideological stances of interconnected mixed-ideology communities Z He, A Rao, S Guo, N Mokhberian, K Lerman arXiv preprint arXiv:2402.01091, 2024 | 2 | 2024 |
# EpiTwitter: Public Health Messaging During the COVID-19 Pandemic A Rao, N Sabri, S Guo, L Raschid, K Lerman arXiv preprint arXiv:2406.01866, 2024 | 1 | 2024 |
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape S Guo, Z He, A Rao, F Morstatter, J Brantingham, K Lerman arXiv preprint arXiv:2401.06275, 2024 | 1 | 2024 |
Inducing political bias allows language models anticipate partisan reactions to controversies Z He, S Guo, A Rao, K Lerman arXiv preprint arXiv:2311.09687, 2023 | 1 | 2023 |
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations A Anand, N Mokhberian, PN Kumar, A Saha, Z He, A Rao, F Morstatter, ... arXiv preprint arXiv:2403.04085, 2024 | | 2024 |
Measuring Online Emotional Reactions to Events S Guo, Z He, A Rao, E Jang, Y Nan, F Morstatter, J Brantingham, ... Proceedings of the International Conference on Advances in Social Networks …, 2023 | | 2023 |