Niloy Ganguly
- Bhattacharya, P. et al. Deep Twitter diving: Exploring topical groups in microblogs at scale. In Proceedings of the 17th ACM Conf. Computer Supported Cooperative Work and Social Computing, 2014, 197--210.Google Scholar
- Chakraborty, A., Messias, J., Benevenuto, F., Ghosh, S., Ganguly, N. and Gummadi, K.P. Who makes trends? Understanding demographic biases in crowdsourced recommendations. In Proceedings of the 11th Intern. AAAI Conf. Web and Social Media, 2017.Google Scholar
- De, A., Bhattacharya, S. and Ganguly, N. Demarcating Endogenous and Exogenous Opinion Diffusion Process on Social Networks. In Proceedings of the 2018 World Wide Web Conf., 2018, 549--558.Google ScholarDigital Library
- De, A., Valera, I., Ganguly, N., Bhattacharya, S. and Gomez-Rodriguez, M. Learning and forecasting opinion dynamics in social networks. In Proceedings of the 30th Inter. Conf. Neural Information Processing Systems, 2016, 397--405.Google ScholarDigital Library
- Maity, S.K., Chakraborty, A., Goyal, P. and Mukherjee, A. Opinion conflicts: An effective route to detect incivility in Twitter. In Proc. ACM Hum.-Comput. Interact. Article 117 (2018), 117:1--117:27.Google Scholar
- Pratapa, A., Bhat, G., Choudhury, M., Sitaram, S., Dandapat, S. and Bali, K. Language modeling for code-mixing: The role of linguistic theory based synthetic data. In Proceedings of the 56th Annual Meeting of the Assoc. Computational Linguistics, Vol.1. (Melbourne, Australia, 2018), 1543--1553; https://www.aclweb.org/anthology/P18-1143Google ScholarCross Ref
- Rudra, K., Ganguly, N., Goyal, P. and Ghosh, S. Extracting and summarizing situational information from Twitter social media during disasters. ACM Trans. Web 12, 3 (July 2018), 17:1--17:35.Google ScholarDigital Library
- Rudra, K., Goyal, P., Ganguly, N., Mitra, P. and Imran, M. Identifying sub-events and summarizing disaster-related information from microblogs. In Proceedings of the 41st Intern. ACM SIGIR Conf. Research and Development in Info. Retrieval, 2018, 265--274.Google ScholarDigital Library
- Sachdeva, N. and Kumaraguru, P. Call for service: Characterizing and modeling police response to serviceable requests on Facebook. In Proceedings of the ACM Conf. Computer-Supported Cooperative Work and Social Computing, 2017.Google ScholarDigital Library
- Samanta, N., Nangi, S.R., Jagirdar, H., Ganguly, N., Charabarti, S. A deep generative model for code switched text. In Proceedings of IJCAI, 2019.Google ScholarCross Ref
- Zafar, M.B., Bhattacharya, P., Ganguly, N., Ghosh, S. and Gummadi, K.P. On the wisdom of experts vs. crowds: Discovering trustworthy topical news in microblogs. In Proceedings of the ACM Conf. Computer-Supported Cooperative Work and Social Computing, 2016, 438--451.Google ScholarDigital Library
Index Terms
- The positive and negative effects of social media in India
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