Browse by ISB Authors

Indian School of Business

Kumar, S and Mallikarjuna, T and KhudaBukhsh, A R (2023) Quantifying the Academic Quality of Children's Videos using Machine Comprehension. Working Paper. Cornell University.

Ramesh, K and KhudaBukhsh, A R and Kumar, S (2022) ‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence.

Ramesh, K and Kumar, S and Khudabukhsh, A (2022) Revisiting Queer Minorities in Lexicons. In: Proceedings of the Sixth Workshop on Online Abuse and Harms.

Kumar, S and Huang, B and Cox, R A V and Carley, K M (2021) An anatomical comparison of fake-news and trusted-news sharing pattern on Twitter. Computational and Mathematical Organization Theory, 27 (2). pp. 109-133. ISSN 1381-298X

Saha, R L and Singha, S and Kumar, S (2021) Does Congestion Always Hurt? Managing Discount Under Congestion in a Game-Theoretic Setting. Information Systems Research, 32 (4). pp. 1347-1367.

Kumar, S and Cox, R V and Babcock, M and Carley, K M (2021) A Weakly Supervised Approach for Classifying Stance in Twitter Replies. Working Paper. Cornell University.

Beskow, D M and Kumar, S and Carley, K M (2020) The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning. Information Processing & Management, 57 (2): 102170. ISSN 0306-4573

Kumar, S (2020) Social Media Analytics for Stance Mining A Multi-Modal Approach with Weak Supervision. Dissertation thesis, Carnegie Mellon University.

Cox, R V and Kumar, S and Babcock, M and Carley, K M (2020) Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations. Working Paper. Carnegie Mellon University.

Kumar, S and Carley, K M (2019) What to track on the Twitter streaming API?: a knapsack bandits approach to dynamically update the search terms. In: ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining.

Babcock, M and Cox, R A V and Kumar, S (2019) Diffusion of pro- and anti-false information tweets: the Black Panther movie case. Computational and Mathematical Organization Theory, 25 (1). pp. 72-84. ISSN 1381-298X

Kumar, S and Carley, K M (2019) Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Falcão, J D and Krebs, J and Kumar, S and Erdogmus, H (2018) OpenAlerts: A Software System to Evaluate Smart Emergency Alerts and Notifications. In: UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing.

Kumar, S and Carley, K M (2018) Towards Group-Activities Based Community Detection. In: UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing.

Kumar, S and Erdogmus, H and Iannucci, B and Griss, M and Falcão, J D (2018) Rethinking the Future of Wireless Emergency Alerts: A Comprehensive Study of Technical and Conceptual Improvements. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2 (2). pp. 1-33. ISSN 2474-9567

Kumar, S and Carley, K M (2018) People2Vec: Learning Latent Representations of Users Using Their Social-Media Activities. In: Social, Cultural, and Behavioral Modeling. International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation . Springer, Cham, Switzerland, pp. 154-163. ISBN 9783319933719

Kumar, S (2018) Weakly Supervised Stance Learning Using Social-Media Hashtags. Working Paper. Carnegie Mellon University.

Babcock, M and Cox, R V and Kumar, S (2018) Which fake fits? How the diffusion of disinformation varies by campaign type and community in the Black Panther Twitter discussion. In: SBP-BRiMS.

Kumar, S and Carley, K M (2017) Simulating DDOS attacks on the us fiber-optics internet infrastructure. In: 2017 Winter Simulation Conference.

Kumar, S (2017) Simulating DDOS attacks on the us fiber-optics internet infrastructure. In: 2017 Winter Simulation Conference.

Kumar, S and Villa, R A and Carley, K M (2017) Identifying Bots that Spread Fake News. In: SBP-BRiMS.

Kumar, S (2017) Investigating the Use of Bots to Spread Fake News in Social Media. In: SBP-BRiMS.

Kumar, S and Carley, K M (2017) Simulating DDOS attacks on the us fiber-optics internet infrastructure. In: 2017 Winter Simulation Conference.

Kumar, S and Carley, K M (2016) Approaches to understanding the motivations behind cyber attacks. In: 2016 IEEE Conference on Intelligence and Security Informatics.

Kumar, S and Carley, K M (2016) DDoS cyber-attacks network: Who's attacking whom. In: 2016 IEEE Conference on Intelligence and Security Informatics.

Kumar, S and Carley, K M (2016) Understanding DDoS cyber-attacks using social media analytics. In: 2016 IEEE Conference on Intelligence and Security Informatics.

Kumar, S and Benigni, M and Carley, K M (2016) The impact of US cyber policies on cyber-attacks trend. In: 2016 IEEE Conference on Intelligence and Security Informatics.

Iannucci, B and Falcão, J D and Kumar, S and Erdogmus, H and Griss, M (2016) From alerting to awareness. In: 2016 IEEE Symposium on Technologies for Homeland Security.

Kumar, S and Erdogmus, H and Diogo Falcao, J and Griss, M and Iannucci, B (2016) Location-aware wireless emergency alerts. In: 2016 IEEE Symposium on Technologies for Homeland Security.

Kumar, S and Nguyen, L T and Zeng, M and Liu, K and Zhang, J (2015) Sound Shredding: Privacy Preserved Audio Sensing. In: HotMobile '15: The 16th International Workshop on Mobile Computing Systems and Applications.

Kumar, S and Sarma, V V S (2015) Performance and Challenges of Newspapers in India: A Case Study on English versus Vernacular Dailies in India. In: Twelfth AIMS International Conference on Management, 2-5 January, 2015, Indian Institute of Management Kozhikode, India.

Zhang, J and Iannucci, Bo and Hennessy, M and Gopal, K and Xiao, S and Kumar, S and Pfeffer, D and Aljedia, B and Ren, Y and Griss, M and Rosenberg, S and Cao, J and Rowe, A (2013) Sensor Data as a Service -- A Federated Platform for Mobile Data-centric Service Development and Sharing. In: 2013 IEEE International Conference on Services Computing.