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Ashwin Rao
Ashwin Rao
Information Sciences Institute, University of Southern California
Verified email at usc.edu
Title
Cited by
Cited by
Year
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
1052021
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
90*2021
Partisan asymmetries in exposure to misinformation
A Rao, F Morstatter, K Lerman
Scientific reports 12 (1), 15671, 2022
382022
# 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
312023
Socioeconomic correlates of anti-science attitudes in the US
M Hu, A Rao, M Kejriwal, K Lerman
Future Internet 13 (6), 160, 2021
132021
Whose Emotions and Moral Sentiments Do Language Models Reflect?
Z He, S Guo, A Rao, K Lerman
arXiv preprint arXiv:2402.11114, 2024
112024
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
11*2023
Retweets Amplify the Echo Chamber Effect
A Rao, F Morstatter, K Lerman
ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on …, 2024
10*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
92024
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
82022
Affective polarization and dynamics of information spread in online networks
K Lerman, D Feldman, Z He, A Rao
npj Complexity 1 (1), 8, 2024
6*2024
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
62024
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
52024
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
42023
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
32023
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
22023
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
22021
Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study
A Rao, N Sabri, S Guo, L Raschid, K Lerman
Journal of Medical Internet Research 27, e63910, 2025
1*2025
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
ACM Transactions on the Web, 2024
12024
In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions
B Nettasinghe, A Rao, B Jiang, A Percus, K Lerman
arXiv preprint arXiv:2412.14414, 2024
2024
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