Publications

2026

• PAVEProbability and prejudice: a scenario-based audit of demographic bias in LLM judgments across law enforcement and healthcare

  Ghosh, S., Mehra, B., & Lu, K. (2026). Proceedings of ASIS&T, 63. Accepted.

• PAVEExploring stereotype bias in large language model dialogue generation

  Ghosh, S., Dubin, R., & Charette, C. (2026). Proceedings of ASIS&T, 63. Accepted.

• PAVEScrolling for comfort: human-information interaction around palliative care on TikTok

  Ghosh, S., Du, T., & Dubin, R. (2026). Proceedings of ASIS&T, 63. Accepted.

• PAVEEmbedding responsible computing in an undergraduate computer vision course

  Attar, N., Ghosh, S., Heller, P., Villagran, M. A., & Hofman, D. (2026). AIxHEART. Accepted.

• PAVEAssessing artificial intelligence and social justice intersections: challenges and opportunities

  Ghosh, S., Fu, H., Hofman, D., & Mehra, B. (2026). Advances in Librarianship, Emerald. Book, in progress.

• PAVEGoverning and designing AI-mediated library services

  Ghosh, S. (2026). In Library and Information Science Education around the World, IFLA Series. Book chapter, in progress.

2025

• ICANNSpoken conversational search: evaluating the effect of system clarifications on user experience through a Wizard-of-Oz study

  Ghosh, S., & Shah, C. (2025). Journal of the Association for Information Science and Technology, 76(5), 819–839. DOI

• PAVEFrom queries to conversations: examining human–GenAI information-seeking through Belkin's cognitive communication model

  Charette, C., & Ghosh, S. (2025). Proceedings of ASIS&T, 62(1), 105–116.

• PAVEHuman-AI collaborative content analysis: the efficacy and challenges of LLM-assisted content analysis for TikTok videos on palliative care

  Ghosh, S., Malempati, K., & Charette, C. (2025). Proceedings of ASIS&T, 62(1), 229–240.

• PAVEEvolution of reference services in the era of generative artificial intelligence

  Aguiñaga, J., Mooradian, N., Ghosh, S., & Hofman, D. (2025). Proceedings of ASIS&T, 62(1), 13–25.

• PAVETracing the past, predicting the future: a systematic review of AI in archival science

  Shinde, G., Kirstein, T., Ghosh, S., & Franks, P. (2025). Proceedings of ASIS&T, 62(1), 659–671.

• PAVEExploring dehumanization and infrahumanization as underlying factors in misinformation belief and spread

  Weiss, A., Ghosh, S., & Johnson, F. (2025). CAIS. Best Paper by a Practitioner.

• PAVEExploring self-dehumanization as a factor in misinformation belief and spread

  Weiss, A., Ghosh, S., & Johnson, F. (2025). ACM CHIIR, 326–332.

• PAVEEmpowering customer service with generative AI: enhancing agent performance while navigating challenges

  Costa, C., & Ghosh, S. (2025). Information Research, 30(iConf 2025), 150–158. DOI

• PAVEEnhancing enrollment and participation in computing ethics through CIRCLE

  Attar, N., Ghosh, S., Villagran, M. A., & Hofman, D. (2025). IEEE EDUCON, 1–4.

• ICANNUnmasking public sentiment: a sample efficient approach to analyzing public opinion on US aid to Ukraine

  Ghosh, S., Ghosh, S., Dewitt, N., & McCoy, D. (2025). HICSS 58, 2459–2469.

2024

• ICANNExploring the economics of conversational search sessions

  Ghosh, S., Gogoi, J., & Chua, K. (2024). Aslib Journal of Information Management, 76(4), 613–628.

• PAVEIntegrating AI into library systems: a perspective on applications and challenges

  Tai, I., & Ghosh, S. (2024). ACM/IEEE JCDL.

• PAVELooking ahead: incorporating AI in MLIS competencies

  Ghosh, S., & McCoy, D. (2024). School of Information Student Research Journal, 14(1), 3.

• PAVEDecoding large language models: a systematic overview of socio-technical impacts, constraints, and emerging questions

  Kaya, Z. N., & Ghosh, S. (2024). arXiv preprint 2409.16974. arXiv

• PAVEAI in archival science: a systematic review

  Shinde, G., Kirstein, T., Ghosh, S., & Franks, P. C. (2024). arXiv preprint 2410.09086. arXiv

2023

• ICANNToward connecting speech acts and search actions in conversational search tasks

  Ghosh, S., Ghosh, S., & Shah, C. (2023). ACM/IEEE JCDL, 119–131. Vannevar Bush Best Paper nomination.

• ICANNSentiment-aware design of human–computer interactions

  Ghosh, S. (2023). In Computational Intelligence Applications for Text and Sentiment Data Analysis, 209–224. Academic Press.

2022

• ICANN“Don't Downvote”: an exploration of Reddit's advice communities

  Cannon, E., Crouse, B., Ghosh, S., Rihn, A., & Chua, K. (2022). HICSS 55.

• ICANNThe sound of music: from increased personalization to therapeutic values

  Caceres, I., & Ghosh, S. (2022). ISIC: The Information Behaviour Conference. Best Paper nomination.

• PAVERecommendations on using artificial intelligence in archival appraisal and selection

  Bayeck, R. Y., Colavizza, G., Bunn, J., Bell, M., & Ghosh, S. (2022). Comma, 2022(1), 219–225. DOI

2021

• ICANNClassifying speech acts using a multi-channel deep attention network for task-oriented conversational search agents

  Ghosh, S., & Ghosh, S. (2021). ACM CHIIR.

• ICANNPredicting question deletion and assessing question quality in social Q&A sites using weakly supervised deep neural networks

  Ghosh, S. (2021). HICSS 54.

• ICANN“Do users need human-like conversational agents?” Exploring conversational system design using a framework of human needs

  Ghosh, S., & Ghosh, S. (2021). DESIRES, Padova, Italy.

• ICANN“Can you search for me?” Understanding and improving user-system dialogues for complex search tasks

  Ghosh, S. (2021). Proceedings of ASIS&T, 58(1), 173–184.

• ICANNDesigning human-computer conversational systems using needs hierarchy

  Ghosh, S. (2021). School of Information Student Research Journal, 11(1), 3.

2020

• ICANNIdentifying citation sentiment and its influence while indexing scientific papers

  Ghosh, S., & Shah, C. (2020). HICSS 53.

• ICANNExploring intelligent functionalities of spoken conversational search systems

  Ghosh, S. (2020). Doctoral dissertation, Rutgers University.

2019

• ICANNSession-based search behavior in naturalistic settings for learning-related tasks

  Ghosh, S., & Shah, C. (2019). ACM CIKM.

• ICANNExploring the ideal depth of neural network when predicting question deletion on community question answering

  Ghosh, S., & Ghosh, S. (2019). FIRE. Springer.

2018

• ICANNSearching as learning: exploring search behavior and learning outcomes in learning-related tasks

  Ghosh, S., Rath, M., & Shah, C. (2018). ACM CHIIR, 22–31.

• ICANNTowards automatic fake news classification

  Ghosh, S., & Shah, C. (2018). Proceedings of ASIS&T, 55(1), 805–807.

• ICANNExploring online and offline search behavior based on varying task complexity

  Rath, M., Ghosh, S., & Shah, C. (2018). ACM CHIIR, 285–288.

2017

• ICANNToward multimodal cyberbullying detection

  Singh, V. K., Ghosh, S., & Jose, C. (2017). ACM CHI Extended Abstracts, 2090–2099.

• ICANNSentiment identification in code-mixed social media text

  Ghosh, S., Ghosh, S., & Das, D. (2017). CICLING, Budapest.

• ICANNComplexity metric for code-mixed social media text

  Ghosh, S., Ghosh, S., & Das, D. (2017). Computación y Sistemas, 21(4), 693–701.

2016

• ICANNPart-of-speech tagging of code-mixed social media text

  Ghosh, S., Ghosh, S., & Das, D. (2016). Second Workshop on Computational Approaches to Code Switching, 90–97.

• ICANNDetermining sentiment in citation text and analyzing its impact on the proposed ranking index

  Ghosh, S., Das, D., & Chakraborty, T. (2016). CICLING, 292–306. Springer.