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Lingzi Hong

Title: Assistant Professor

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Maryland, 2019
    Major: Information Studies

Current Scheduled Teaching

INFO 5709.020Data Visualization and CommunicationSpring 2025
INFO 5709.404Data Visualization and CommunicationSpring 2025
INFO 6900.028Special ProblemsSpring 2025
INFO 5707.023Data Modeling for Information ProfessionalsFall 2024
INFO 5091.401Data Science InternshipFall 2024
INFO 4951.020Honors College Capstone ThesisFall 2024
DTSC 3010.020Introduction to Data ScienceFall 2024 Syllabus
INFO 5090.420Practicum and Internship in the Field StudyFall 2024
INFO 4900.403Special ProblemsFall 2024
INFO 6900.028Special ProblemsFall 2024
INFO 6910.021Special ProblemsFall 2024

Previous Scheduled Teaching

INFO 5090.200Practicum and Internship in the Field StudySummer 10W 2024 SPOT
INFO 5090.201Practicum and Internship in the Field StudySummer 5W2 2024
INFO 4900.002Special ProblemsSummer 10W 2024
INFO 4900.702Special ProblemsSummer 10W 2024
INFO 5091.200Data Science InternshipSpring 2024
INFO 5709.004Data Visualization and CommunicationSpring 2024 SPOT
INFO 6950.725Doctoral DissertationSpring 2024
DTSC 3010.020Introduction to Data ScienceSpring 2024 Syllabus SPOT
INFO 5090.200Practicum and Internship in the Field StudySpring 2024 SPOT
INFO 4900.002Special ProblemsSpring 2024
INFO 6900.028Special ProblemsSpring 2024
INFO 5091.001Data Science InternshipFall 2023
INFO 6950.028Doctoral DissertationFall 2023
DTSC 3010.020Introduction to Data ScienceFall 2023 Syllabus SPOT
INFO 5090.200Practicum and Internship in the Field StudyFall 2023 SPOT
INFO 6900.028Special ProblemsFall 2023
INFO 6950.701Doctoral DissertationSummer 10W 2023
INFO 5090.200Practicum and Internship in the Field StudySummer 10W 2023 SPOT
INFO 4900.702Special ProblemsSummer 10W 2023
INFO 5091.200Data Science InternshipSpring 2023
INFO 5709.004Data Visualization and CommunicationSpring 2023 SPOT
INFO 6950.725Doctoral DissertationSpring 2023
INFO 3010.020Introduction to Data ScienceSpring 2023 Syllabus SPOT
INFO 5090.020Practicum and Internship in the Field StudySpring 2023 SPOT
INFO 5090.200Practicum and Internship in the Field StudySpring 2023 SPOT
INFO 4900.002Special ProblemsSpring 2023
INFO 6950.028Doctoral DissertationFall 2022
INFO 3010.020Introduction to Data ScienceFall 2022 Syllabus SPOT
INFO 5090.200Practicum and Internship in the Field StudyFall 2022
INFO 5090.220Practicum and Internship in the Field StudyFall 2022 SPOT
INFO 6660.028Readings in Information ScienceFall 2022
INFO 4900.002Special ProblemsFall 8W2 2022
INFO 6900.028Special ProblemsFall 2022
INFO 4907.001Data VisualizationSummer 5W2 2022 Syllabus SPOT
INFO 5709.001Data Visualization and CommunicationSummer 5W2 2022 SPOT
INFO 5709.600Data Visualization and CommunicationSummer 5W2 2022 SPOT
INFO 5090.002Practicum and Internship in the Field StudySummer 10W 2022 SPOT
INFO 4900.002Special ProblemsSummer 10W 2022
INFO 3010.002Introduction to Data ScienceSpring 2022 Syllabus SPOT
INFO 5090.002Practicum and Internship in the Field StudySpring 2022 SPOT
INFO 5090.202Practicum and Internship in the Field StudySpring 2022 SPOT
INFO 6660.009Readings in Information ScienceSpring 2022
INFO 4900.001Special ProblemsSpring 2022
INFO 6900.714Special ProblemsSpring 2022
INFO 5709.501Data Visualization and CommunicationFall 2021 SPOT
INFO 3010.002Introduction to Data ScienceFall 2021 Syllabus SPOT
INFO 3010.003Introduction to Data ScienceFall 2021 Syllabus SPOT
INFO 5090.001Practicum and Internship in the Field StudyFall 2021 SPOT
INFO 6900.706Special ProblemsFall 2021
INFO 5090.001Practicum and Internship in the Field StudySummer 5W2 2021
INFO 5090.002Practicum and Internship in the Field StudySummer 10W 2021 SPOT
INFO 4900.702Special ProblemsSummer 10W 2021
INFO 5709.002Data Visualization and CommunicationSpring 2021 SPOT
INFO 5090.002Practicum and Internship in the Field StudySpring 2021 SPOT
INFO 4900.751Special ProblemsSpring 2021 Syllabus
INFO 6910.703Special ProblemsSpring 2021
INFO 3010.002Introduction to Data ScienceFall 2020 Syllabus SPOT
INFO 3010.003Introduction to Data ScienceFall 2020 Syllabus SPOT
INFO 6900.705Special ProblemsFall 2020
INFO 4907.001Data VisualizationSummer 5W2 2020 Syllabus SPOT
INFO 5709.001Data Visualization and CommunicationSummer 5W2 2020 SPOT
INFO 5709.005Data Visualization and CommunicationSummer 5W2 2020 SPOT
INFO 4907.001Data VisualizationSpring 2020 Syllabus
INFO 3010.002Introduction to Data ScienceSpring 2020 Syllabus
INFO 6900.710Special ProblemsSpring 2020
INFO 3010.002Introduction to Data ScienceFall 2019 Syllabus SPOT

Published Intellectual Contributions

    Abstracts and Proceedings

  • Velverthi, N.R., Prybutok, V., Hong, L. (2023). Investigating Factors Affecting Emerging Adults Usage of Patient Portals. iConference 2023. https://www.ideals.illinois.edu/items/126407
  • Kim, J., Hong, L., Evans, S.A., Ali, I., Rice-Oyler, E. (2023). Toward an understanding of data literacy needs in community colleges: A conceptual framework. ACRL 2023.
  • Hong, L., Yu, Moen, W.E. (2020). Revealing the Disciplinary Landscape of Data Science Journals. ALISE.
  • Book Chapter

  • Kim, J., Davis, T., Hong, L. (2022). Augmented Intelligence: Enhancing Human Decision Making. Bridging Human Intelligence and Artificial Intelligence. 151-170. Springer. https://doi.org/10.1007/978-3-030-84729-6_10
  • Conference Proceeding

  • Yu, X., Zhao, A., Blanco, E., Hong, L. (2023). A Fine-Grained Taxonomy of Replies to Hate Speech. 7275-7289. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
  • Zeleke, M., Hong, L., Kaz-Onyeakazi, I., Smith, D.L., Milburn, S., Esener, Y. (2023). #NoMore: An Analysis of Topics and Sentiments Indicative of the War in Ethiopia. iSchools/ iConference 2023 Proceedings. https://hdl.handle.net/2142/117377
  • Mohotarema, R., Hong, L., Ryan, S.E. (2023). A brief survey of financial misinformation: Typologies, theories, and detection methods. Proceedings of the Multi-disciplinary Information Research Symposium at the University of North Texas.
  • Kim, J., Hong, L., Evans, S.A., Rice-Oyler, E., Ali, I. Development and Validation of a Data Literacy Assessment Scale. Proceedings of the Association for Information Science and Technology.
  • Dumas, C., Ghosh, S., Hong, L., Karami, A., Vaidya, P. (2023). Online Incivility and Contextual Factors: Data‐driven Detection and Analysis. 60 (1) 770-774. Proceedings of the Association for Information Science and Technology.
  • Gao, L., Hong, L., Mashhadi, A. (2022). Nostalgic Analysis of Location based Tweets. Glasgow, The 13th International Conference on Social Informatics. https://doi.org/10.1007/978-3-031-19097-1_27
  • Luo, P., Hong, L., Wang, J., Wang, S., Guo, X., Gao, Z., , S. (2022). Learning Domain-specific Semantic Representation from Weakly Supervised Data to Improve Research Dataset Retrieval. Pittsburgh, 85th Annual Meeting of the Association for Information Science and Technology. https://doi.org/10.1002/pra2.616
  • Yu, X., Mashhadi, A., Boy, J., Nielsen, R.C., Hong, L. (2022). Causal Impact Model to Evaluate the Diffusion Effect of Social Media Campaigns. Coimbra, Proceedings of 20th European Conference on Computer-Supported Cooperative Work. https://dl.eusset.eu/handle/20.500.12015/4367
  • Yu, X., Xie, Z., Mashhadi, A., Hong, L. (2022). Multi-task Models for Multi-faceted Classification of Pandemic Information on Social Media. (978-1-4503-9191-7) 327-335. Barcelona, 14th ACM Web Science Conference 2022. https://dl.acm.org/doi/abs/10.1145/3501247.3531552
  • Yu, X., Blanco, E., Hong, L. Hate Speech and Counter Speech Detection: Context Does Matter. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
  • Yu, X., Boy, J., Nielsen, R., Hong, L. (2022). Linguistic Characteristics of Social Media Messages Spreading across Geographic and Linguistic Boundaries. ECSM 2022 9th European Conference on Social Media. https://www.academic-conferences.org/conferences/ecsm/
  • Hoang, N., Nie, D., Taivanbat, B., Liu, Y., Hong, L., Jason, T., Cheng, L. (2022). Eddie- Transformer: Enriched Disease Embedding Transformer for X-Ray Report Generation. Kolkata, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).
  • Xie, Z., Jayanth, A., Yadav, K., Ye, G., Hong, L. (2021). Multi-faceted Classification for the Identification of Informative Communications during Crises: Case of COVID-19. IEEE COMPSAC. https://ieeexplore.ieee.org/abstract/document/9529603
  • Yu, X., Reddy, D.S., Bentula, L., Hong, L. (2020). Characteristics of Information Spreading across Nations. Proceedings of the Association for Information Science and Technology.
  • Yu, X., Boy, J., Hong, L. (2020). The Effect of Structural Affinity on the Diffusion of a Transnational Online Movement: The Case of #MeToo. International Conference on Social Informatics.
  • Hong, L., Wu, J., Zou, Z. (2020). Spatial Accessibility and Equity of Public Libraries in Urban Settings. International Conference on Information. https://doi.org/10.1007/978-3-030-43687-2_45
  • Wu, J., Hong, L., Frias-Martinez, V. (2019). Predicting Perceived Level of Cycling Safety for Cycling Trips. Other. 456-459. Chicago, Illinois, 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019).
  • Journal Article

  • Kim, J., Hong, L., Evans, S.A. (2024). Towards Measuring Data Literacy for Higher Education: Developing and Validating a Self-efficacy Data Literacy Scale. Journal of the Association for Information Science and Technology. 75 (8) 916-931.
  • Navya , V., Prybutok, V.R., Prybutok, G.L., Hong, L. (2023). Influence of risk factors on the adoption intentions of emerging adults towards patient portals. Decision Making and Analysis. 1 (1) pp. 48-56.
  • 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://www.emerald.com/insight/content/doi/10.1108/ILS-06-2023-0065/full/html
  • 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) National Communication Association.
  • Aoyama, K., Hong, L., Flege, J., Yamada, R., Yamada, T. (2023). Relationships between acoustic characteristics and intelligibility scores: Japanese adults’ and children’s productions of American English liquids. Language and Speech. 66 (4) SageJournals.
  • Ye, G., Ze, P., Wei, J., Hong, L., Li, S., Wu, C. (2022). Dynamic sentiment sensing of cities with social media data. The Electronic Library. 40 (4) 413-434. Emerald.
  • Ali, I., Hong, L., Chen, J. (2022). Remote Cataloging Productivity: An Exploratory Study in A National Library. Library Management. Emerald. https://doi.org/10.1108/LM-12-2021-0109
  • Kahanek, A., Yu, Philbrick, J., Cleveland, A.D., Hong, L. (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. https://infodemiology.jmir.org/2021/1/e31671
  • Cheng, W., Xu, Wu, J., Hong, L. (2021). Read with Me: Understanding Reading and Social Interaction Behavior through the Lens of Vlogging. Library Development.
  • Cheng, W., Wu, J., Moen, W.E., Hong, L. (2021). Assessing the Spatial Accessibility and Spatial Equity of Public Libraries’ Physical Locations. Library and Information Science Research. https://doi.org/10.1016/j.lisr.2021.101089
  • Hong, L., Frias-Martinez, V. (2020). Modeling and Predicting Evacuation Flows during Hurricane Irma. EPJ Data Science.
  • Hong, L., Moen, W.E., Yu, X., Chen, J. (2020). The Disciplinary Research Landscape of Data Science Reflected in Data Science Journals. Information Discovery and Delivery.
  • Poster

  • Kim, J., Hong, L., Evans, S.A. (2019). Defining Data Literacy: An Empirical Study of Data Literacy Dimensions. Association of Library and Information Science Education. https://hdl.handle.net/2142/110887

Contracts, Grants and Sponsored Research

    Fellowship

  • Hong, L., "CLEAR Stipend," sponsored by Center for Learning Experimentation, Application, & Research (CLEAR), University of North Texas, $500 Funded. (2020 - 2020).
  • Hong, L., "Youth Scholar Seminar Travel Fund," sponsored by Beijing Normal University, International, $2800 Funded. (2019 - 2019).
  • Hong, L., "Youth Scholar Seminar Travel Fund," sponsored by Beijing Normal University, International, Funded. (2019 - 2019).
  • Grant - Research

  • Hong, L., "Outcome-constrained Large Language Models for Counter Hate Speech," sponsored by OpenAI, International, $20000 Funded. (2023).
  • Kim, J., Evans, S. (Co-Principal), Hong, L. (Co-Principal), "Students data literacy needs in community colleges: Perceptions of librarians, students and faculty," sponsored by Institute of Museum and Library Services, Federal, $118996 Funded. (2022 - 2024).
  • Hong, L. (Principal), "Counter Hate Speech Detection and Generation," sponsored by University of North Texas, University of North Texas, $3000 Funded. (2021 - 2022).
  • Hong, L. (Principal), "Data-driven Methods to Detect Online Aggression," sponsored by University of North Texas, University of North Texas, $2445 Funded. (2021 - 2021).
  • Evans, S. (Principal), Hong, L. (Co-Principal), "Comparative Study of Data Literacy Education for College Freshmen in US and China," sponsored by University of North Texas, University of North Texas, $1500 Funded. (2019 - 2020).
  • Hong, L., "Global Venture Fund - Hosting Visiting Scholar," sponsored by University of North Texas, University of North Texas, $2000 Funded. (2019 - 2020).
  • Hong, L. (Principal), "Data-driven Methods to Understand Social Media Participation and the Outcomes in Social Movements," sponsored by College of Information, University of North Texas, $4943 Funded. (2019 - 2020).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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