Linguistic and semantic factors in government e-petitions: A comparison between the United Kingdom and the United States of America
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[1] Helen Briassoulis,et al. Online petitions: new tools of secondary analysis? , 2010 .
[2] Fabrício Benevenuto,et al. Comparing and combining sentiment analysis methods , 2013, COSN '13.
[3] Brian F. Schaffner,et al. Postmaterialist Particularism: What Petitions Can Tell Us About Biases in the Policy Agenda , 2017 .
[4] Amanda Potts,et al. Does semantic tagging identify cultural change in British and American English , 2012 .
[5] Catherine L. Dumas,et al. Examining political mobilization of online communities through e-petitioning behavior in We the People , 2015, Big Data Soc..
[6] Feng Chen,et al. E-petitioning as Collective Political Action in We the People , 2015 .
[7] Loni Hagen,et al. Introducing textual analysis tools for policy informatics: a case study of e-petitions , 2015, DG.O.
[8] Jill Sheppard. Online petitions in Australia: Information, opportunity and gender , 2015 .
[9] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[10] Kurt Hornik,et al. topicmodels : An R Package for Fitting Topic Models , 2016 .
[11] Marcel Salathé,et al. The dynamics of health behavior sentiments on a large online social network , 2012, EPJ Data Science.
[12] Jiao Wu,et al. A Multi-Appeal Model of Persuasion for Online Petition Success: A Linguistic Cue-Based Approach , 2019, J. Assoc. Inf. Syst..
[13] C. Bochel,et al. ‘Reaching in’? The potential for e-petitions in local government in the United Kingdom , 2017 .
[14] C. Bochel. Petitions Systems: Contributing to Representative Democracy? , 2013 .
[15] P. Fraser. PUBLIC PETITIONING AND PARLIAMENT BEFORE 1832 , 1961 .
[16] R. Taagepera. The size of national assemblies , 1972 .
[17] Katherine L. Milkman,et al. What Makes Online Content Viral? , 2012 .
[18] Vicenç Gómez,et al. Online Petitioning Through Data Exploration and What We Found There: A Dataset of Petitions from Avaaz.org , 2018, ICWSM.
[19] Scott A. Hale,et al. Political Turbulence: How Social Media Shape Collective Action , 2015 .
[20] The Two Streams: British and American English , 1986 .
[21] Theresa A. Pardo,et al. Policy Analytics: Definitions, Components, Methods, and Illustrative Examples , 2018 .
[22] Gwilym Dodd. Justice and Grace: Private Petitioning and the English Parliament in the Late Middle Ages , 2007 .
[23] Jan-Hinrik Schmidt,et al. Birds of a feather petition together? Characterizing e-petitioning through the lens of platform data , 2016 .
[24] Scott Wright,et al. ‘Success’ and online political participation: The case of Downing Street E-petitions , 2016 .
[25] C. Bochel. Process matters: petitions systems in Britain’s legislatures , 2016 .
[26] Loni Hagen,et al. E-petition popularity: Do linguistic and semantic factors matter? , 2016, Gov. Inf. Q..
[27] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[28] Scott A. Hale,et al. Petition growth and success rates on the UK No. 10 Downing Street website , 2013, WebSci.
[29] R. Hough. Do Legislative Petitions Systems Enhance the Relationship between Parliament and Citizen? , 2012 .
[30] Donghua Chen,et al. The Interplay Between Digital and Political Divides , 2014 .
[31] W. Robinson,et al. Similarities and Differences in Perceptions and Evaluations of the Communication Styles of American and British Mangers , 2002 .
[32] Jean-Gabriel Contamin,et al. Les transformations des comportements politiques au prisme de l'e-pétitionnement : potentialités et limites d'un dispositif d'étude pluridisciplinaire , 2015 .
[33] Stephen D. Clark,et al. Classification of Westminster Parliamentary constituencies using e-petition data , 2017, EPJ Data Science.
[34] Scott A. Hale,et al. How digital design shapes political participation: A natural experiment with social information , 2018, PloS one.
[35] J. Leblanc,et al. Analyser des pétitions en ligne : potentialités et limites d'un dispositif d'étude pluridisciplinaire , 2016 .
[36] S. Mills,et al. Directness and Indirectness Across Cultures , 2014 .
[37] Loni Hagen,et al. Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models? , 2018, Inf. Process. Manag..
[38] Scott A. Hale,et al. Rapid rise and decay in petition signing , 2013, EPJ Data Science.
[39] Alexander Serebrenik,et al. Choosing your weapons: On sentiment analysis tools for software engineering research , 2015, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[40] Sarah Egan. National identity and cultural resonance in English foxhunting movements , 2014 .
[41] Taha Yasseri,et al. What, when and where of petitions submitted to the UK government during a time of chaos , 2019, Policy Sciences.
[42] Stephen D. Clark,et al. Estimating the outcome of UKs referendum on EU membership using e-petition data and machine learning algorithms , 2018, Journal of Information Technology & Politics.
[43] Jong Hwan Suh,et al. Applying text and data mining techniques to forecasting the trend of petitions filed to e-People , 2010, Expert Syst. Appl..
[44] Loni Hagen,et al. Data Analytics for Policy Informatics: The Case of E-Petitioning , 2018 .
[45] S. S. Ravi,et al. E-Petitioning and Online Media: The Case of #BringBackOurGirls , 2017, DG.O.
[46] D. Elazar. Contrasting Unitary and Federal Systems , 1997 .
[47] T. Mullen. The Scottish Independence Referendum 2014 , 2014 .
[48] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[49] Alexander Porshnev. Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information , 2018, SocInfo.
[50] Christopher D. Manning,et al. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling , 2005, ACL.
[51] S. Asai. Sales Patterns of Hit Music in Japan , 2009 .