| Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models? L Hagen Information Processing & Management 54 (6), 1292-1307, 2018 | 217 | 2018 |
| Crisis communications in the age of social media: A network analysis of Zika-related tweets L Hagen, T Keller, S Neely, N DePaula, C Robert-Cooperman Social Science Computer Review 36 (5), 523-541, 2018 | 187* | 2018 |
| The COVID-19 vaccine social media infodemic: healthcare providers’ missed dose in addressing misinformation and vaccine hesitancy RG Hernandez, L Hagen, K Walker, H O’Leary, C Lengacher Human Vaccines & Immunotherapeutics 17 (9), 2962-2964, 2021 | 152 | 2021 |
| Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network L Hagen, S Neely, TE Keller, R Scharf, FE Vasquez Social Science Computer Review 40 (2), 264-287, 2022 | 83 | 2022 |
| E-petition popularity: Do linguistic and semantic factors matter? L Hagen, TM Harrison, Ö Uzuner, W May, T Fake, S Katragadda Government Information Quarterly 33 (4), 783-795, 2016 | 74 | 2016 |
| Examining political mobilization of online communities through e-petitioning behavior in We the People CL Dumas, D LaManna, TM Harrison, SS Ravi, C Kotfila, N Gervais, ... Big Data & Society 2 (2), 2053951715598170, 2015 | 63 | 2015 |
| Open data visualizations and analytics as tools for policy-making L Hagen, TE Keller, X Yerden, LF Luna-Reyes Government Information Quarterly 36 (4), 101387, 2019 | 61 | 2019 |
| Understanding Citizens’ Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach L Hagen, Ö Uzuner, C Kotfila, TM Harrison, D Lamanna 2015 48th Hawaii International Conference on System Sciences (HICSS), 2015 | 58 | 2015 |
| Social media use for crisis and emergency risk communications during the Zika health crisis L Hagen, S Neely, R Scharf, TE Keller Digital Government: Research and Practice 1 (2), 1-21, 2020 | 46 | 2020 |
| Introducing textual analysis tools for policy informatics: a case study of e-petitions L Hagen, TM Harrison, Ö Uzuner, T Fake, D Lamanna, C Kotfila Proceedings of the 16th annual international conference on digital …, 2015 | 39 | 2015 |
| Emoji use in Twitter white nationalism communication L Hagen, M Falling, O Lisnichenko, ARA Elmadany, P Mehta, ... Companion Publication of the 2019 Conference on Computer Supported …, 2019 | 37 | 2019 |
| An iSchool approach to data science: Human‐centered, socially responsible, and context‐driven C Shah, T Anderson, L Hagen, Z Yin Journal of Association for Information Science and Technology, 2021 | 27 | 2021 |
| Overcoming the privacy challenges of wearable devices: A study on the role of digital literacy L Hagen Proceedings of the 18th Annual International Conference on Digital …, 2017 | 15 | 2017 |
| Processes, potential benefits, and limitations of big data analytics: a case analysis of 311 data from city of Miami L Hagen, H Seon Yi, S Pietri, T E. Keller Proceedings of the 20th Annual International Conference on Digital …, 2019 | 14 | 2019 |
| On the use of multimedia in Twitter health communication: analysis of tweets regarding the Zika virus JW Yoon, L Hagen, J Andrews, R Scharf, T Keller, EK Chung University of Borås, 2019 | 14 | 2019 |
| Government social media communications during Zika Health Crisis L Hagen, R Scharf, S Neely, T Keller Proceedings of the 19th Annual International Conference on Digital …, 2018 | 14 | 2018 |
| Data analytics for policy informatics: The case of e-petitioning L Hagen, TM Harrison, CL Dumas Policy analytics, modelling, and informatics: Innovative tools for solving …, 2018 | 13 | 2018 |
| Emerging trends in the use and adoption of E‐participation around the world L Hagen, J Kropczynski, C Dumas, J Lee, FE Vasquez, A Rorissa Proceedings of the Association for Information Science and Technology 52 (1 …, 2015 | 12 | 2015 |
| Data science curriculum in the iField Y Zhang, D Wu, L Hagen, IY Song, J Mostafa, S Oh, T Anderson, C Shah, ... Journal of the Association for Information Science and Technology 74 (6 …, 2023 | 11 | 2023 |
| The role of influential actors in fostering the polarized COVID-19 vaccine discourse on Twitter: mixed methods of machine learning and inductive coding L Hagen, A Fox, H O'Leary, DA Dyson, K Walker, CA Lengacher, ... JMIR infodemiology 2 (1), e34231, 2022 | 11 | 2022 |
Thomas E. KellerUniversity of South FloridaVerified email at usf.edu
