| Understanding spreading patterns on social networks based on network topology A Saxena, SRS Iyengar, Y Gupta Proceedings of the 2015 IEEE/ACM international conference on advances in …, 2015 | 38 | 2015 |
| Under the surface: Tracking the artifactuality of llm-generated data D Das, K De Langis, A Martin-Boyle, J Kim, M Lee, ZM Kim, SA Hayati, ... arXiv preprint arXiv:2401.14698, 2024 | 17 | 2024 |
| Scalable clustering by aggregating representatives in hierarchical groups WB Xie, Z Liu, D Das, B Chen, J Srivastava Pattern Recognition 136, 109230, 2023 | 16 | 2023 |
| A Computational Analysis of Mahabharata D Das, B Das, K Mahesh Proceedings of the 13th International Conference on Natural Language …, 2016 | 14 | 2016 |
| Modelling Memetics Using Edge Diversity Y Gupta, A Saxena, D Das, SRS Iyengar Complex Networks VII, 187-198, 2016 | 14 | 2016 |
| Influence of Consumers’ Temporary Affect on Ad Engagement: A Computational Research Approach X Lu, D Das, J Huh, J Srivastava Journal of Advertising 51 (3), 352-368, 2022 | 12 | 2022 |
| Pseudo-Cores: The Terminus of an Intelligent Viral Meme's Trajectory Y Gupta, D Das, SRS Iyengar Complex Networks VII, 213-226, 2016 | 12 | 2016 |
| Which Modality should I use--Text, Motif, or Image?: Understanding Graphs with Large Language Models D Das, I Gupta, J Srivastava, D Kang arXiv preprint arXiv:2311.09862, 2023 | 11 | 2023 |
| Modeling memetics using edge diversity Y Gupta, SRS Iyengar, A Saxena, D Das Social Network Analysis and Mining 9, 1-17, 2019 | 4 | 2019 |
| Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer D Das, D Ma, D Kang arXiv preprint arXiv:2305.15582, 2023 | 3 | 2023 |
| Adbert: An effective few shot learning framework for aligning tweets to superbowl advertisements D Das, R Chenchu, M Abdollahi, J Huh, J Srivastava Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022 …, 2022 | 1 | 2022 |
| Publics’ perceptions of legitimacy in corporate social advocacy: A computational analysis of the role of ideological congruence H Xu, D Das, J Huh, H Rim, J Srivastava Public Relations Review 50 (4), 102486, 2024 | | 2024 |
| Rebuilding Social Connection and Enhancing Advertising Effects Through the Nostalgic Appeal during the Pandemic K Kim, B Chang, D Das, S Muthya, J Huh, D Kang, J Srivastava AEJMC 2023, 2023 | | 2023 |
| Work In Progress: Reactions to Incivility: A Computational Approach to Measuring Affective Polarization on Twitter During the First 2020 U.S. Presidential Debate J Gustin, C Gansen, T He, D Das, J Huh, J Srivastava 73rd Annual International Communication Association Conference, Reclaiming …, 2023 | | 2023 |
| Publics’ Perceptions of Legitimacy in Corporate Social Advocacy: A Computational Analysis of the Influence of Ideological Congruence H Xu, D Das, J Huh, J Srivastava 73rd Annual International Communication Association Conference, Reclaiming …, 2023 | | 2023 |
| Influence of Consumers’ Affective States on Ad Attention: A Field Study M Abdollahi, X Lu, D Das, J Huh, J Srivastava 2023 American Academy of Advertising, 2023 | | 2023 |
| Public Insights on COVID19 Vaccination using Exploratory and Sentiment Analysis on tweets A Srivastava, D Das Journal of Software Engineering and Simulation 7 (9), 12-24, 2021 | | 2021 |
| Consumer Responses to Gender-Targeted Advertising: Computational Research Analyzing the 2020 Super Bowl Commercials E Kim, D Das, M Nene, R Chenchu, J Huh, J Srivastava 2021 American Academy of Advertising, 2021 | | 2021 |
| Publics’ Emotional Reactions and Acceptance of Organizational Crisis Response in the Case of Boeing 737 MAX Crisis H Xu, D Das*, S Sudheendra* (*equal contributions), J Huh, J Srivastava AEJMC 2020, 2020 | | 2020 |
| Effects of Consumers’ Affective States on Ad Attention and Evaluation: A Hybrid Research Approach M Abdollahi, D Das, X Lu, J Huh, J Srivastava AEJMC 2020, 2020 | | 2020 |
Jaideep SrivastavaProfessor, University of MinnesotaVerified email at umn.edu
