Dr. Lingzi Hong

Human-Centered Computing Lab

Selected Peer-Reviewed Publications

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You can find most of the papers from this Google Drive

Journal Corresponding Author *

Conference paper is long paper except noted.


2024


  1. Hong, L., Luo, P., Blanco, E., & Song, X. (2024). Outcome-Constrained Large Language Models for Countering Hate Speech. (Accepted by the Conference on Empirical Methods in Natural Language Processing (EMNLP main)
  2. Kim, J.*, Hong, L., & Evans, S. (2024). Towards Measuring Data Literacy for Higher Education: Developing and Validating a Self-efficacy Data Literacy Scale. (Accepted by Journal of the Association for Information Science and Technology (JASIS&T) (IF=3.80)
  3. Jothiraj, F., Hong, L. & Mashhadi, A. (2024). Nostalgia on Twitter: Detection and Analysis of a Large-Scale Dataset. (Accepted by ASIS&T 2024, AR=32%)
  4. Dinh, L., Hong, L., Dumas, C., Patin, B., Ghosh, S., Li, L., & Khoury, C. (2024) Social Media and Crisis Informatics Research in LIS (Panel) (Accepted by ASIS&T 2024)
  5. Yu, X., Blanco, E., & Hong, L. (2024 May). Hate Cannot Drive out Hate: Forecasting Conversation Incivility of Replies to Hateful Content. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) (Vol. 18, pp. 1740-1752). (AR=20%)
  6. Hong, L., Roeschley, A., & Yunfei D. (2024). Mapping Areas in Need of Immigrant-Focused Crisis Support. iConference 2024 Proceedings. (Poster) (Best Poster Award Finalist)

2023


  1. Velverthi, N.*, Prybutok, V., Prybutok, G., & Hong, L. (2023). Influence of risk factors on the adoption intentions of emerging adults towards patient portals. Decision Making and Analysis 1 (1), 48-56. https://doi.org/10.55976/dma.12023119048-56
  2. Evans, S. A., Hong, L., Kim, J.*, Rice-Oyler, E., & Ali, I. (2023). Community college students’ self-assessment of data literacy: exploring differences amongst demographic, academic, and career characteristics. Information and Learning Sciences. https://doi.org/10.1108/ILS-06-2023-0065 (IF=4.0)
  3. Velverthi, N.*, Prybutok, V., & Hong, L. (2023). An Emerging Adults’ Patient Portal Behavioral Model: Integrating Perceived Risk Theory, Technology Acceptance Model, and Personal Innovativeness. International Journal of Human-Computer Interaction (IJHCI), 1-14. DOI: 10.1080/10447318.2023.2254628 (IF=4.7)
  4. Aoyama, K.*, Hong, L., Flege, J. E., Akahane-Yamada, R., & Yamada, T. (2023). Relationships Between Acoustic Characteristics and Intelligibility Scores: A Reanalysis of Japanese Speakers’ Productions of American English Liquids. Language and Speech, 00238309221140910. DOI: 10.1177/00238309221140910 (IF=1.8)
  5. Ryan, S. E.*, Hong, L., & Rashid, M. (2023). From corpus creation to formative discovery: the power of big-data-rhetoric teams and methods. Review of Communication, 23(1), 38-61. DOI: 10.1080/15358593.2022.2119094
  6. Yu, X., Zhao, A., Blanco, E., & Hong, L. (2023, December). A Fine-Grained Taxonomy of Replies to Hate Speech. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 7275-7289). 10.18653/v1/2023.emnlp-main.450 (AR=25%)
  7. Dumas, C., Ghosh, S., Hong, L., Karami, A., & Vaidya, P. (2023). Online Incivility and Contextual Factors: Data‐Driven Detection and Analysis. Proceedings of the Association for Information Science and Technology (ASIS&T), 60(1), 770-774. https://doi.org/10.1002/pra2.858 (Panel)
  8. Kim, J., Hong, L., Evans, S., Oyler‐Rice, E., & Ali, I. (2023). Development and validation of a data literacy assessment scale. Proceedings of the Association for Information Science and Technology (ASIS&T), 60(1), 620-624. DOI: 10.1002/pra2.827 (Short paper)
  9. Velverthi, N. R., Prybutok, V., & Hong, L. (2023). Investigating Factors Affecting Emerging Adult's Usage of Patient Portals. iConference 2023 Proceedings. https://hdl.handle.net/2142/117372 (Poster)
  10. Zeleke, M., Hong, L., Kaz-Onyeakazi, I., Smith, D., Milburn, S., & Esener, Y. (2023). # NoMore: An Analysis of Topics and Sentiments Indicative of the War in Ethiopia. iConference 2023 Proceedings. https://hdl.handle.net/2142/117377 (Poster) (Best Poster Award Finalist)

2022


  1. Kim, J., Davis, T., & Hong, L. (2022). Augmented Intelligence: Enhancing Human Decision Making. In Bridging Human Intelligence and Artificial Intelligence, edited by Albert, M., Lin, L., Spector, M., & Dunn, L. Springer. DOI: 10.1007/978-3-030-84729-6_10
  2. Ye, G.*, Peng, Z., Wei, J., Hong, L., Li, S. and Wu, C. (2022). Dynamic sentiment sensing of cities with social media data. The Electronic Library, 40(4), pp. 413-434. https://doi.org/10.1108/EL-03-2022-0064 (IF=1.7)
  3. Ali, I.*, Hong, L., & Chen, J. (2022). Remote cataloging productivity: an exploratory study in a national library. Library Management, 43(6/7), 401-414. DOI: 10.1108/lm-12-2021-0109 (IF=1.2)
  4. Luo, P., Hong, L., Wang, J., Wang, S., Guo, X., Gao, Z., & Cho, S. W. (2022). Learning Domain‐specific Semantic Representation from Weakly Supervised Data to Improve Research Dataset Retrieval. Proceedings of the Association for Information Science and Technology (ASIS&T), 59(1), 205-214. https://doi.org/10.1002/pra2.616 (AR=32%)
  5. Yu, X., Mashhadi, A., Boy, J., Nielsen, R. C., & Hong, L. (2022). Causal Impact Model to Evaluate the Diffusion Effect of Social Media Campaigns. In Proceedings of 20th European Conference on Computer-Supported Cooperative Work (ECSCW). European Society for Socially Embedded Technologies (EUSSET). DOI: 10.48340/ECSCW2022_EP10
  6. Yu, X., Xie, Z., Mashhadi, A., & Hong, L. (2022, June). Multi-task Models for Multi-faceted Classification of Pandemic Information on Social Media. In 14th ACM Web Science Conference (ACM WebSci) 2022 (pp. 327-335). DOI: 10.1145/3501247.3531552 (Acceptance Rate: 37%)
  7. Yu, X., Boy, J., Nielsen, R. C., & Hong, L. (2022, May). Linguistic Characteristics of Social Media Messages Spreading across Geographic and Linguistic Boundaries. In ECSM 2022 9th European Conference on Social Media. Academic Conferences and publishing limited.
  8. Yu, X., Blanco, E., & Hong, L. (2022, July). Hate Speech and Counter Speech Detection: Conversational Context Does Matter. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) (pp. 5918-5930). DOI: 10.18653/v1/2022.naacl-main.433 (Acceptance Rate: 26%)
  9. Nguyen, H., Nie, D., Badamdorj, T., Liu, Y., Hong, L., Truong, J., & Cheng, L. (2022). Eddie-Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation. In IEEE International Symposium on Biomedical Imaging (ISBI). DOI: 10.1109/isbi52829.2022.9761459 (Acceptance Rate: 35%)

2021


  1. Kahanek, A., Yu, X., Hong, L.*, Cleveland, A., & Philbrick, J. (2021). Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets. JMIR Infodemiology, 1(1), e31671. DOI: 10.2196/31671
  2. Cheng, W., Wu, J., Moen, W., & Hong, L*. (2021). Assessing the Spatial Accessibility and Spatial Equity of Public Libraries’ Physical Locations. Library and Information Science Research (LISR), 43 (2). DOI: 10.1016/j.lisr.2021.101089 (IF=3.1)
  3. Xie, Z., Jayanth, A., Yadav, K., Ye, G., & Hong, L. (2021, July). Multi-faceted Classification for the Identification of Informative Communications during Crises: Case of COVID-19. In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 924-933). IEEE. DOI: 10.1109/compsac51774.2021.00125 (Acceptance Rate: 27%)

2020 and before


  1. Hong, L., & Frias-Martinez, V.* (2020). Modeling and Predicting Evacuation Flows during Hurricane Irma. EPJ Data Science, 9(1), 29. https://doi.org/10.1140/epjds/s13688-020-00247-6 (IF:3.6)
  2. Hong, L.*, Moen, W., Yu, X., & Chen, J. (2020). The Disciplinary Research Landscape of Data Science Reflected in Data Science Journals. Information Discovery and Delivery. https://doi.org/10.1108/IDD-06-2020-0071 (IF=2.2)
  3. Yu, X., Daida, S., Boy, J. & Hong, L. (2020, October). The Effect of Structural Affinity on the Diffusion of a Transnational Online Movement: The Case of #MeToo. In International Conference on Social Informatics (SocInfo) (pp. 447-460). Springer, Cham. https://doi.org/10.1007/978-3-030-60975-7_33 (Acceptance Rate: 33%)
  4. Yu, X., Daida, S., Bentula, L. & Hong, L. (2020). Characteristics of Information Spreading across Nations. In Proceedings of the Association for Information Science and Technology (ASIS&T), 57(1). https://doi.org/10.1002/pra2.309 (Short paper)
  5. Hong L., Wu J., Zou Z. (2020) Spatial Accessibility and Equity of Public Libraries in Urban Settings. In: Sundqvist A., Berget G., Nolin J., Skjerdingstad K. (eds) Sustainable Digital Communities. iConference 2020. Lecture Notes in Computer Science, vol 12051. Springer, Cham. https://doi.org/10.1007/978-3-030-43687-2_45 (Short paper)
  6. Wu, J., Hong, L., & Frias-Martinez, V. (2019). Predicting Perceived Level of Cycling Safety for Cycling Trips. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 456-459). https://doi.org/10.1145/3347146.3359092
  7. Hong, L., Wu, J., Frias-Martinez, E., Villareal, A., & Frias-Martinez, V. (2019). Characterization of Internal Migrant Behavior in the Immediate Post-Migration Period using Cell Phone Traces. In the Tenth International Conference on Information and Communication Technologies and Development (ICTD 19). ACM. 10.1145/3287098.3287119 (Acceptance Rate: 28%)
  8. Hong, L.*, Fu, C., Wu, J., & Frias-Martinez, V. (2018). Information Needs and Communication Gaps between Citizens and Local Governments Online during Natural Disasters. Information Systems Frontiers, vol 20(5), pp. 1027-1039. Springer. https://doi.org/10.1007/s10796-018-9832-0 (IF: 5.9)
  9. Hong, L., Fu, C., Torrens, P., & Frias-Martinez, V. (2017, June). Understanding Citizens’ and Local Governments’ Digital Communications During Natural Disasters: The Case of Snowstorms. In Proceedings of the 2017 ACM on Web Science Conference (ACM WebSci) (pp. 141-150). ACM. http://dx.doi.org/10.1145/3091478.3091502 (Acceptance Rate: 35%)

Selected Presentations without Publications

Workshop Organizer

  1. Hong, L., Ghosh, S., Dumas, C., & Han, Z. (2024). 4th Annual Workshop on Social Media Research, Challenges, and Opportunities. Association for Information Science and Technology Annual Meeting (ASIS&T).
  2. Ghosh, S., Dumas, C., Karami, A., & Hong, L. (2023). 3rd Annual Workshop on Social Media Research, Challenges, and Opportunities. Association for Information Science and Technology Annual Meeting (ASIS&T).

Conference Tutorials

  1. Song, X. & Hong, L. (2024). Data Collection, Classification, and Transformation. IDEA Institute on AI 2024 by the Association for Information Science & Technology (ASIS&T).
  2. Song, X. & Hong, L. (2024). Comprehending the Semantic Essence of Text: Leverage SEANCE for Textual Analysis. IDEA Institute on AI 2024 by the Association for Information Science & Technology (ASIS&T).

Conference Presentations

  1. Kim, J., Hong, L., Evans, S., Ali, I., & Rice-Oyler, E. (2023). Toward an Understanding of Data Literacy Needs in Community Colleges: A Conceptual Framework. ACRL. [Poster Presentation]
  2. Velverthi, N.R., Prybutok, V., Hong, L., & Sheesh, W. (2022). Usage and Adoption of Patient Portals Among Young Adults. 53rd Annual Conference of the Decision Sciences Institute. [Oral Presentation]
  3. Kim, J., Hong, L., & Evans, S. (2021). Defining Data Literacy: An Empirical Study of Data Literacy Dimensions. ALISE [Poster Presentation]
  4. Hong, L., Frias-Martinez, E., Villareal, A., & Frias-Martinez, V. (2018). Accuracy and Bias in the Identification of Internal Migrants Using Cell Phone Data. In The 12th International Conference on Web and Social Media (ICWSM) Workshop on Making Sense of Online Data for Population Research. Stanford, California.

Symposium Presentations

  1. Yu, X., Boy, J., & Hong, L. (2020). Gender Equality and Female Participation in #MeToo. In 16th Annual Social Informatics Research Symposium. In the 83rd Annual Meeting of the Association for Information Science and Technology (ASIS&T).