Featured Publications | Center for the Study of Digital Society | NDSU

Weitzel, D., Gerring, J., Pemstein, D., & Skaaning, S. 2024. Measuring backsliding with observables: observable-to-subjective score mapping. PS: Political Science & Politics. https://doi.org/10.1017/S1049096523001075
_{CSDS research areas: Computational Social Science | Government & Politics}

Majdik, Z. P., & Wynn, J. (2023). Building better machine learning models for rhetorical analyses: The use of rhetorical feature sets for training artificial neural network models. Technical Communication Quarterly 32(1), 63–78. https://doi.org/10.1080/10572252.2022.20774
_{CSDS research areas: Computational Social Science | Language Modeling}

Orhan, Y. E., Pirim, H., & Akbulut, Y. (2023). Building political hashtag communities: A multiplex network analysis of 2022 U.S. midterm elections. Computation 11(12), 238. https://doi.org/10.3390/computation11120238
_{CSDS research areas: Digital Politics | Computational Social Science | Network Modeling}

Lu, S., & Luqiu, L. R. (2023). When will one help? Understanding audience intervention in online harassment of women journalists. Journalism Practice, 1-19. https://www.tandfonline.com/doi/full/10.1080/17512786.2023.2201582
_{CSDS research areas: Digital Journalism}

Liang, F., & Lu, S. (2023). The dynamics of event-based political influencers on Twitter: A longitudinal analysis of influential accounts during Chinese political events. Social Media+ Society, 9(2), 20563051231177946.https://journals.sagepub.com/doi/full/10.1177/20563051231177946
_{CSDS research areas: Computational Social Science | Digital Politics}

Fox, J., R. Finke, & D.R. Mataic. (2021). "The causes of societal discrimination against religious minorities in christian-majority countries." Religions, 12(8), 611, https://doi.org/10.3390/rel12080611
_{CSDS research areas: Computational Social Science | Government & Politics}

Majdik, Z. P. (2021). Five considerations for engaging with Big Data from a rhetorical-humanistic perspective. Poroi, 16(1).
_{CSDS research areas: Digital Humanities}

Luqiu, L. R., & Lu, S. (2021). Bounded or boundless: A case study of foreign correspondents’ use of Twitter during the 2019 Hong Kong protests. Social Media + Society, 7(1). https://doi.org/10.1177/2056305121990637
_{CSDS research areas: Computational Social Science | Digital Journalism}

Mataic, D.R. & K. Goff. (2021). "Organizations and religious restrictions: an international overview of the intersection of state and non-governmental organizations and religious groups." Annual Review of the Sociology of Religion, 12, 197-219, https://doi.org/10.1163/9789004468085_011
_{CSDS research areas: Government & Politics}

Meserve, S.A. & Pemstein, D. (2020). Terrorism and internet censorship. Journal of Peace Research 57(6), 257-263. https://doi.org/10.1177/0022343320959369
_{CSDS research areas: Digital Politics}

Graham, S. S., Majdik, Z. P., & Clark, D. (2020). Methods for extracting relational data from unstructured texts prior to network visualization in humanities research. Journal of Open Humanities Data, 6(8). https://doi.org/10.5334/johd.21
_{CSDS research areas: Computational Social Science | Digital Humanities}

Majdik, Z. P. (2019). A computational approach to assessing rhetorical effectiveness: Agentic framing of climate change in the Congressional Record, 1994–2016. Technical Communication Quarterly, 28(3), 207–222. https://doi.org/10.1080/10572252.2019.1601774
_{CSDS research areas: Digital Politics}

Mataic, D.R. & R. Finke. (2019). "Compliance gaps and the failed promises of religious freedoms." Religion, State, & Society, 47(1), 124-150. https://doi.org/10.1080/09637494.2018.1528788
_{CSDS research areas: Computational Social Science | Government & Politics}

Meserve, S.A. & Pemstein, D. (2018). Google politics: the political determinants of internet censorship in democracies. Political Science Research & Methods 6(2): 245-263. https://doi.org/10.1017/psrm.2017.1
_{CSDS research areas: Digital Politics}