2022
Nicholls, T., & Culpepper, P. D. (2022, September 30). Better political text classification using large language models. In Information, Redistribution and Financial Regulation conference. Oxford.
Nicholls, T., & Culpepper, P. D. (2022, May 5). Deep learning models for multilingual supervised political text classification. In COMPTEXT. Dublin.
2021
Majo-Vazquez, S., Congosto, M., Nicholls, T., & Nielsen, R. K. (2021). The Role of Suspended Accounts in Political Discussion on Social Media: Analysis of the 2017 French, UK and German Elections. SOCIAL MEDIA + SOCIETY, 7(3). doi:10.1177/20563051211027202DOI: 10.1177/20563051211027202
Narratives and Patterns of Toxicity of Covid-19 Conversations on Social Media: A Comparison across 6 Countries (Conference Paper)
Majó-Vázquez, S., De Domenico, M., Castaldo, N., Nicholls, T., & Nielsen, R. K. (2021, May 27). Narratives and Patterns of Toxicity of Covid-19 Conversations on Social Media: A Comparison across 6 Countries. In International Communication Association conference.
Driven to Distraction? The Impact of the Brexit Preparations on Bureaucratic Performance (Conference Paper)
Elston, T., & Nicholls, T. (2021, March 29). Driven to Distraction? The Impact of the Brexit Preparations on Bureaucratic Performance. In Political Studies Association Conference. Belfast.
Nicholls, T., & Culpepper, P. D. (2021). Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities. POLITICAL COMMUNICATION, 38(1-2), 159-181. doi:10.1080/10584609.2020.1812777DOI: 10.1080/10584609.2020.1812777
Nicholls, T. (2021). tm.plugin.proquest (Version 1.0) [Computer Software]. Zenodo. doi:10.5281/zenodo.4574613DOI: 10.5281/zenodo.4574613
2020
Computational identification of media frames: strengths, weaknesses, and opportunities (Other)
Nicholls, T., & Culpepper, P. (2020). Computational identification of media frames: strengths, weaknesses, and opportunities. doi:10.31235/osf.io/5rysmDOI: 10.31235/osf.io/5rysm
Nicholls, T., & Hayton, R. (2020). Splitting the Tactical Vote? Coordination Problems with Polling Model-Driven Tactical Voting Websites. POLITICAL QUARTERLY, 91(1), 61-69. doi:10.1111/1467-923X.12822DOI: 10.1111/1467-923x.12822
2019
Nicholls, T. (2019). Local Government Performance, Cost-Effectiveness, and Use of the Web: An Empirical Analysis. POLICY AND INTERNET, 11(4), 480-507. doi:10.1002/poi3.209DOI: 10.1002/poi3.209
Churnalism and wire copy: a comparative analysis of textual reuse in UK and US online news (Conference Paper)
Nicholls, T., & Graves, L. (2019, September 16). Churnalism and wire copy: a comparative analysis of textual reuse in UK and US online news. In International Journal of Press/Politics conference. Loughborough, UK.
Nicholls, T. (2019). Detecting Textual Reuse in News Stories, At Scale. INTERNATIONAL JOURNAL OF COMMUNICATION, 13, 4173-4197. Retrieved from https://www.webofscience.com/
Nicholls, T. (2019). Full-population web crawl of .gov.uk web domain, 2014. UK Data Service. doi:10.5255/UKDA-SN-852205DOI: 10.5255/UKDA-SN-852205
Data processing and analysis code for 'Detecting Textual Reuse in News Stories, At Scale' in the International Journal of Communication (Other)
Nicholls, T. (2019). Data processing and analysis code for 'Detecting Textual Reuse in News Stories, At Scale' in the International Journal of Communication. Retrieved from https://doi.org/10.5281/zenodo.3338003
Tool demo: RISJbot – a web crawler for collecting structured news article content at scale (Conference Paper)
Nicholls, T. (2019, May 24). Tool demo: RISJbot – a web crawler for collecting structured news article content at scale. In ICA annual conference. Washington, DC.
Computational methods for inductively extracting media frames: a comparative analysis (Conference Paper)
Nicholls, T. (2019). Computational methods for inductively extracting media frames: a comparative analysis. In ICA annual conference. Washington, DC.
Nicholls, T., & Bright, J. (2019). Understanding news story chains using information retrieval and network clustering techniques. Communication Methods and Measures, 13, 43-59. doi:10.1080/19312458.2018.1536972DOI: 10.1080/19312458.2018.1536972
2018
The role of suspended accounts in political discussion on social media: analysis of the 2017 French, UK and German elections (Conference Paper)
Majó-Vázquez, S., Congosto, M., Nicholls, T., & Nielsen, R. K. (2018). The role of suspended accounts in political discussion on social media: analysis of the 2017 French, UK and German elections. In European Symposium on Computational Social Science. Cologne.
Nicholls, T. (2018). RISJbot: a scrapy project to extract the text and metadata of articles from news websites (Version 1.1) [Computer Software]. doi:10.5281/ZENODO.1341873DOI: 10.5281/ZENODO.1341873
Code and data for "Understanding news story chains using information retrieval and network clustering techniques" (Other)
Nicholls, T., & Bright, J. (2018). Code and data for "Understanding news story chains using information retrieval and network clustering techniques". Zenodo. doi:10.5281/zenodo.1205036DOI: 10.5281/zenodo.1205036
Churnalism, press releases and wire copy: detecting textual reuse in large news corpora (Conference Paper)
Nicholls, T. (2018). Churnalism, press releases and wire copy: detecting textual reuse in large news corpora. In ICA annual conference. Prague.
Nicholls, T., Shabbir, N., Graves, L., & Nielsen, R. K. (2018). Coming of age: developments in digital-born news media in Europe. Oxford: Reuters Institute for the Study of Journalism. Retrieved from https://reutersinstitute.politics.ox.ac.uk/
Understanding news stories by clustering articles: an Information Retrieval approach (Conference Paper)
Nicholls, T., & Bright, J. (2018). Understanding news stories by clustering articles: an Information Retrieval approach. In ICA annual conference (pp. 16 pages). Prague. Retrieved from https://arxiv.org/abs/1801.07988
2017
Nicholls, T., Shabbir, N., & Nielsen, R. K. (2017). The global expansion of digital-born news media. Oxford: Reuters Institute for the Study of Journalism. Retrieved from https://reutersinstitute.politics.ox.ac.uk/
2016
Nicholls, T. (2016). Digital era local government in England: service reform and the Internet. (PhD Thesis, University of Oxford). Retrieved from https://ora.ox.ac.uk/objects/uuid:d85d7964-80d2-4b6d-bfac-418ed4f0fa6a
Nicholls, T., & Bright, J. (2016). handclassifier: rapidly categorise web archive content (Version 0.5) [Computer Software]. doi:10.5281/zenodo.44358DOI: 10.5281/zenodo.44358
Nicholls, T., Shabbir, N., & Nielsen, R. K. (2016). Digital-born news media in Europe. Oxford: Reuters Institute for the Study of Journalism. Retrieved from http://reutersinstitute.politics.ox.ac.uk/
2015
Web crawling for big data in political science (Conference Paper)
Nicholls, T. (2015). Web crawling for big data in political science. In PSA Quantitative Network Conference (pp. 18 pages). Oxford.
2014
Nicholls, T. (2014). Warctika: Python library for processing WARC files through Apache Tika (Version 1.0) [Computer Software]. doi:10.5281/zenodo.12183DOI: 10.5281/zenodo.12183
Nicholls, T., & Gray, S. (2014). Crowdsourcing measurement of e-government usability. In Internet, Politics and Policy Conference (pp. 19 pages). Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:4b95b5a8-7275-44c6-8ed3-21517943b766
Internet use and English local government performance: an empirical assessment (Conference Paper)
Nicholls, T. (2014). Internet use and English local government performance: an empirical assessment. In European Group for Public Administration (pp. 29 pages). Speyer, Germany. Retrieved from https://www.scss.tcd.ie/
Bright, J., & Nicholls, T. (2014). The Life and Death of Political News: Measuring the Impact of the Audience Agenda Using Online Data. SOCIAL SCIENCE COMPUTER REVIEW, 32(2), 170-181. doi:10.1177/0894439313506845DOI: 10.1177/0894439313506845
2013
Nicholls, T. (2013). An Empirical Analysis of Internet Top-Level Domain Policy. Journal of Information Policy, 3, 464-484. doi:10.5325/jinfopoli.3.2013.0464DOI: 10.5325/jinfopoli.3.2013.0464
