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How to Analyze Political Attention with Minimal Assumptions and Costs

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Cited by:

  1. Sanders James & Lisi Giulio & Schonhardt-Bailey Cheryl, 2017. "Themes and Topics in Parliamentary Oversight Hearings: A New Direction in Textual Data Analysis," Statistics, Politics and Policy, De Gruyter, vol. 8(2), pages 153-194, December.
  2. Oscar Calvo-Gonz'alez & Axel Eizmendi & Germ'an Reyes, 2022. "The Shifting Attention of Political Leaders: Evidence from Two Centuries of Presidential Speeches," Papers 2209.00540, arXiv.org, revised Jun 2023.
  3. Sturm, Silke, 2021. "Textdaten: Anwendungen und Herausforderungen," Edition HWWI: Chapters, in: Straubhaar, Thomas (ed.), Neuvermessung der Datenökonomie, volume 6, pages 129-156, Hamburg Institute of International Economics (HWWI).
  4. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
  5. Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.
  6. Mueller, Hannes & Rauh, Christopher, 2018. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
  7. Ash, Elliott & Gauthier, Germain & Widmer, Philine, 2024. "Relatio: Text Semantics Capture Political and Economic Narratives," Political Analysis, Cambridge University Press, vol. 32(1), pages 115-132, January.
  8. Arina Wischnewsky & David‐Jan Jansen & Matthias Neuenkirch, 2021. "Financial stability and the Fed: Evidence from congressional hearings," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1192-1214, July.
  9. Sandra Wankmüller, 2023. "A comparison of approaches for imbalanced classification problems in the context of retrieving relevant documents for an analysis," Journal of Computational Social Science, Springer, vol. 6(1), pages 91-163, April.
  10. Soudeep Deb & Rishideep Roy & Shubhabrata Das, 2024. "Forecasting elections from partial information using a Bayesian model for a multinomial sequence of data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1814-1834, September.
  11. Fernandez, Raul & Palma Guizar, Brenda & Rho, Caterina, 2021. "A sentiment-based risk indicator for the Mexican financial sector," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
  12. Nerissa C. Brown & Richard M. Crowley & W. Brooke Elliott, 2020. "What Are You Saying? Using topic to Detect Financial Misreporting," Journal of Accounting Research, Wiley Blackwell, vol. 58(1), pages 237-291, March.
  13. Giovanna Maria Dora Dore, 2023. "A Natural Language Processing Analysis of Newspapers Coverage of Hong Kong Protests Between 1998 and 2020," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 143-166, September.
  14. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  15. Justyna Klejdysz & Robin L. Lumsdaine, 2023. "Shifts in ECB Communication: A Textual Analysis of the Press Conference," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 473-542, June.
  16. Stephen Hansen & Michael McMahon & Andrea Prat, 2018. "Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
  17. McCannon, Bryan & Zhou, Yang & Hall, Joshua, 2021. "Measuring a Contract’s Breadth: A Text Analysis," Working Papers 11013, George Mason University, Mercatus Center.
  18. Valentina A. Bali & Devin Higgins, 2023. "More than Meets the Eye? Using Text Analytic Techniques to Unpack School Mission Statements," SAGE Open, , vol. 13(4), pages 21582440231, December.
  19. Keith Carlson & Michael A. Livermore & Daniel N. Rockmore, 2020. "The Problem of Data Bias in the Pool of Published U.S. Appellate Court Opinions," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 224-261, June.
  20. Mengzhi Xu & Jixia Li & Zeyu Ping & Qianming Zhang & Tengfei Liu & Can Zhang & Huachun Wang, 2022. "Can Local Government’s Attention Allocated to Green Innovation Improve the Green Innovation Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
  21. Bryan McCannon & Joshua Hall & Yang Zhou, 2023. "Measuring a contract's breadth: A text analysis," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(1), pages 5-14, January.
  22. Boussalis, Constantine & Dukalskis, Alexander & Gerschewski, Johannes, 2022. "Why It Matters What Autocrats Say: Assessing Competing Theories of Propaganda," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(3), pages 241-252.
  23. Isotilia Costa Melo & Paulo Nocera Alves Junior & Geandra Alves Queiroz & Wilfredo Yushimito & Jordi Pereira, 2023. "Do We Consider Sustainability When We Measure Small and Medium Enterprises’ (SMEs’) Performance Passing through Digital Transformation?," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
  24. LIM Jaehwan & ITO Asei & ZHANG Hongyong, 2023. "Policy Agenda and Trajectory of the Xi Jinping Administration: Textual Evidence from 2012 to 2022," Policy Discussion Papers 23008, Research Institute of Economy, Trade and Industry (RIETI).
  25. Greene, Zac & Ceron, Andrea & Schumacher, Gijs & Fazekas, Zoltan, 2016. "The Nuts and Bolts of Automated Text Analysis. Comparing Different Document Pre-Processing Techniques in Four Countries," OSF Preprints ghxj8, Center for Open Science.
  26. Stephen Hansen & Michael McMahon, 2016. "Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication," NBER Chapters, in: NBER International Seminar on Macroeconomics 2015, National Bureau of Economic Research, Inc.
  27. Xu, Haiyun & Meng, Miao & Zhu, Fangyu & Ding, Qi, 2024. "The role of local officials in promoting public participation during local urban planning processes: Evidence from Chinese cities," Land Use Policy, Elsevier, vol. 141(C).
  28. Lino Wehrheim, 2017. "Economic History Goes Digital: Topic Modeling the Journal of Economic History," Working Papers 177, Bavarian Graduate Program in Economics (BGPE).
  29. James P. Ryans, 2021. "Textual classification of SEC comment letters," Review of Accounting Studies, Springer, vol. 26(1), pages 37-80, March.
  30. Born, Andreas & Janssen, Aljoscha, 2022. "Does a district mandate matter for the behavior of politicians? An analysis of roll-call votes and parliamentary speeches," European Journal of Political Economy, Elsevier, vol. 71(C).
  31. Sara Kahn-Nisser, 2019. "When the targets are members and donors: Analyzing inter-governmental organizations’ human rights shaming," The Review of International Organizations, Springer, vol. 14(3), pages 431-451, September.
  32. Lehotský, Lukáš & Černoch, Filip & Osička, Jan & Ocelík, Petr, 2019. "When climate change is missing: Media discourse on coal mining in the Czech Republic," Energy Policy, Elsevier, vol. 129(C), pages 774-786.
  33. Caspi, Aviv & Stiglitz, Edward H., 2020. "Measuring discourse by algorithm," International Review of Law and Economics, Elsevier, vol. 62(C).
  34. Dehler-Holland, Joris & Schumacher, Kira & Fichtner, Wolf, 2021. "Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1).
  35. Juan Felipe Riano-Rodríguez, 2014. "More than Words and Good Intentions: The Political Agenda-Setting Power," Documentos CEDE 11011, Universidad de los Andes, Facultad de Economía, CEDE.
  36. Allen H. Huang & Reuven Lehavy & Amy Y. Zang & Rong Zheng, 2018. "Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach," Management Science, INFORMS, vol. 64(6), pages 2833-2855, June.
  37. Mourtgos, Scott M. & Adams, Ian T., 2019. "The rhetoric of de-policing: Evaluating open-ended survey responses from police officers with machine learning-based structural topic modeling," Journal of Criminal Justice, Elsevier, vol. 64(C), pages 1-1.
  38. Lino Wehrheim, 2019. "Economic history goes digital: topic modeling the Journal of Economic History," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 13(1), pages 83-125, January.
  39. Michal Ovádek & Nicolas Lampach & Arthur Dyevre, 2020. "What’s the talk in Brussels? Leveraging daily news coverage to measure issue attention in the European Union," European Union Politics, , vol. 21(2), pages 204-232, June.
  40. Jennifer Pan & Margaret E. Roberts, 2020. "Censorship’s Effect on Incidental Exposure to Information: Evidence From Wikipedia," SAGE Open, , vol. 10(1), pages 21582440198, February.
  41. Mintao Nie, 2023. "IOs’ selective adoption of NGO information: Evidence from the Universal Periodic Review," The Review of International Organizations, Springer, vol. 18(1), pages 27-59, January.
  42. Yanto Chandra & Li Crystal Jiang & Cheng-Jun Wang, 2016. "Mining Social Entrepreneurship Strategies Using Topic Modeling," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-28, March.
  43. Fengyu Wang & Mi Zhou & Huansheng Yu, 2024. "Is More Always Better? Government Attention and Environmental Governance Efficiency: Empirical Evidence from China," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
  44. Sanders, James & Lisi, Giulio & Schonhardt-Bailey, Cheryl, 2018. "Themes and topics in parliamentary oversight hearings: a new direction in textual data analysis," LSE Research Online Documents on Economics 87624, London School of Economics and Political Science, LSE Library.
  45. Md Nazrul Islam & Md Mofazzal Hossain & Md Shafayet Shahed Ornob, 2024. "Business research on Industry 4.0: a systematic review using topic modelling approach," Future Business Journal, Springer, vol. 10(1), pages 1-15, December.
  46. Jessica M. Hayden, 2021. "Confederate Imagery in Congressional Rhetoric: Divisions and Deliberation," Social Science Quarterly, Southwestern Social Science Association, vol. 102(3), pages 1084-1097, May.
  47. Diego Kozlowski & Viktoriya Semeshenko & Andrea Molinari, 2021. "Latent Dirichlet allocation model for world trade analysis," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
  48. Fang, Limin & Stewart, Nathan & Tyndall, Justin, 2023. "Homeowner politics and housing supply," Journal of Urban Economics, Elsevier, vol. 138(C).
  49. Ping-Yu Hsu & Hong-Tsuen Lei & Shih-Hsiang Huang & Teng Hao Liao & Yao-Chung Lo & Chin-Chun Lo, 2019. "Effects of sentiment on recommendations in social network," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 253-262, June.
  50. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
  51. Oleg S. Nagornyy & Olessia Y. Koltsova, 2017. "Mining Media Topics Perceived as Social Problems by Online Audiences: Use of a Data Mining Approach in Sociology," HSE Working papers WP BRP 74/SOC/2017, National Research University Higher School of Economics.
  52. Tao Peng & Tom Christensen & Liu Yihong & Chu Chun, 2024. "Power Structure, Issue Priorities and Attention Dynamics of Leaders from 2001 to 2017 in China," Public Organization Review, Springer, vol. 24(1), pages 351-368, March.
  53. Steven Lloyd Wilson, 2019. "Modeling and measuring class conflict in Russia’s regions," Rationality and Society, , vol. 31(4), pages 432-463, November.
  54. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
  55. Born, Andreas & Janssen, Aljoscha, 2020. "Does a District-Vote Matter for the Behavior of Politicians? A Textual Analysis of Parliamentary Speeches," Working Paper Series 1320, Research Institute of Industrial Economics.
  56. van den Oever, Koen, 2017. "Uncharted waters : A behavioral approach to when, why and which organizational changes are adopted," Other publications TiSEM 0136c8c2-ecdd-4f82-8ca7-d, Tilburg University, School of Economics and Management.
  57. Yang Bao & Anindya Datta, 2014. "Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures," Management Science, INFORMS, vol. 60(6), pages 1371-1391, June.
  58. Sánchez-Franco, Manuel J. & Arenas-Márquez, Francisco J. & Alonso-Dos-Santos, Manuel, 2021. "Using structural topic modelling to predict users’ sentiment towards intelligent personal agents. An application for Amazon’s echo and Google Home," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  59. Karell, Daniel & Freedman, Michael Raphael, 2019. "Rhetorics of Radicalism," SocArXiv yfzsh, Center for Open Science.
  60. Damane Moeti, 2022. "Topic Classification of Central Bank Monetary Policy Statements: Evidence from Latent Dirichlet Allocation in Lesotho," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 10(1), pages 199-227, September.
  61. Geandra Alves Queiroz & Paulo Nocera Alves Junior & Isotilia Costa Melo, 2022. "Digitalization as an Enabler to SMEs Implementing Lean-Green? A Systematic Review through the Topic Modelling Approach," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
  62. Benjamin Bagozzi, 2015. "The multifaceted nature of global climate change negotiations," The Review of International Organizations, Springer, vol. 10(4), pages 439-464, December.
  63. Eitan Tzelgov, 2014. "Cross-cutting issues, intraparty dissent and party strategy: The issue of European integration in the House of Commons," European Union Politics, , vol. 15(1), pages 3-23, March.
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