Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict

Cited by (542)

Items 101–200 of 542

1. Identifying Regional Dialects in On‐Line Social Media
   Jacob Eisenstein · 2017
2. Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
   Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Matthew Aaron Gentzkow, Jesse M. Shapiro, Dan Jurafsky · 2019 · arXiv (Cornell University)
3. Use of force and civil–military relations in Russia: an automated content analysis
   Stewart, Brandon M., Zhukov, Yuri M. · 2009 · Small Wars & Insurgencies
4. Clause Analysis: Using Syntactic Information to Automatically Extract Source, Subject, and Predicate from Texts with an Application to the 2008–2009 Gaza War
   Wouter van Atteveldt, Tamir Sheafer, Shaul R. Shenhav, Yair Fogel-Dror · 2017 · Political Analysis
5. Exploring Autism Spectrum Disorders Using HLT
   Julia Parish‐Morris, Mark Liberman, Neville Ryant, Christopher Cieri, Leila Bateman, Emily F. Ferguson, Robert T. Schultz · 2016 · Workshop on Computational Linguistics and Clinical Psychology (CLPsych)
6. Constant carbon pricing increases support for climate action compared to ramping up costs over time
   Michael M. Bechtel, Kenneth F. Scheve, Elisabeth Van Lieshout · 2020 · Nature Climate Change
7. Public perception of electric vehicles on Reddit and Twitter: A cross-platform analysis
   Tao Ruan, Qin Lv · 2023 · Transportation Research Interdisciplinary Perspectives
8. A data fusion approach with mobile phone data for updating travel survey-based mode split estimates
   Eduardo Graells-Garrido, Daniela Opitz, Francisco Rowe, Jacqueline Arriagada · 2023 · Transportation Research Part C Emerging Technologies
9. CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
   Myra Cheng, Tiziano Piccardi, Diyi Yang · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
10. Measuring Polarization with Text Analysis: Evidence from the UK House of Commons, 1811–2015
    Niels D. Goet · 2019 · Political Analysis
11. Understanding Visual Memes: An Empirical Analysis of Text Superimposed on Memes Shared on Twitter
    Yuhao Du, Muhammad Aamir Masood, Kenneth Joseph · 2020 · Proceedings of the International AAAI Conference on Web and Social Media
12. The Pragmatics behind Politics: Modelling Metaphor, Framing and Emotion in Political Discourse
    ‪Pere-Lluís Huguet Cabot, Verna Dankers, David Abadi, Agneta H. Fischer, Ekaterina Shutova · 2020 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
13. The Purpose of Senatorial Grandstanding during Supreme Court Confirmation Hearings
    Jessica A. Schoenherr, Elizabeth A. Lane, Miles Armaly · 2020 · Journal of Law and Courts
14. Assessing the Relationship between Economic News Coverage and Mass Economic Attitudes
    Amber E. Boydstun, Benjamin Highton, Suzanna Linn · 2018 · Political Research Quarterly
15. Automated content analysis across six languages
    Leah Windsor, James Grayson Cupit, Alistair James Windsor · 2019 · PLoS ONE
16. Document-Level Text Simplification: Dataset, Criteria and Baseline
    Renliang Sun, Hanqi Jin, Xiaojun Wan · 2021 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
17. Detecting Cross-Cultural Differences Using a Multilingual Topic Model
    Elkin Gutierrez, Ekaterina Shutova, Patricia Lichtenstein, Gerard de Melo, Luca Gilardi · 2016 · Transactions of the Association for Computational Linguistics
18. Detecting policy preferences and dynamics in the UN general debate with neural word embeddings
    Stefano Gurciullo, Slava Mikhaylov · 2017 · International Conference on the Frontiers and Advances in Data Science (FADS)
19. Politicization of Science in COVID-19 Vaccine Communication: Comparing US Politicians, Medical Experts, and Government Agencies
    Alvin Y. Zhou, Wenlin Liu, Aimei Yang · 2023 · Political Communication
20. Frequency, Dispersion, Association, and Keyness
    Stefan Τh. Gries · 2024 · Studies in corpus linguistics
21. Ethical dilemmas in researching sensitive issues online: lessons from the study of British disability dissent networks
    Filippo Trevisan, Paul Reilly · 2014 · Information Communication & Society
22. The Language of Brands in Social Media: Using Topic Modeling on Social Media Conversations to Drive Brand Strategy
    Vanitha Swaminathan, H. Andrew Schwartz, Rowan Menezes, Shawndra Hill · 2022 · Journal of Interactive Marketing
23. Unintended machine learning biases as social barriers for persons with disabilitiess
    Hutchinson, Ben, Prabhakaran, Vinodkumar, Denton, Remi, Webster, Kellie, Zhong, Yu, Denuyl, Stephen · 2020 · ACM SIGACCESS Accessibility and Computing
24. A House Divided: Norm Fragmentation in the International Human Rights Regime
    Rochelle Terman, Zoltán I. Búzás · 2021 · International Studies Quarterly
25. An analysis of emotions and the prominence of positivity in #BlackLivesMatter tweets
    Anjalie Field, Chan Young Park, Antônio Theóphilo, Jamelle Watson-Daniels, Yulia Tsvetkov · 2022 · Proceedings of the National Academy of Sciences
26. Using Cosponsorship to Estimate Ideal Points
    SCOTT W. DESPOSATO, MATTHEW C. KEARNEY, Brian F. Crisp · 2011 · Legislative Studies Quarterly
27. Scaling Policy Positions From Coded Units of Political Texts
    Will Lowe, Kenneth R. Benoit, Slava Mikhaylov, Michael Laver · 2009
28. Opioid Discussion in the Twittersphere
    Rachel Lynn Graves, Christopher Tufts, Zachary F. Meisel, Dan Polsky, Lyle Ungar, Raina M. Merchant · 2018 · Substance Use & Misuse
29. A Systematic Media Frame Analysis of 1.5 Million New York Times Articles from 2000 to 2017
    Haewoon Kwak, Jisun An, Yong‐Yeol Ahn · 2020 · ACM Web Science Conference (WebSci)
30. Proceedings of the First Workshop on NLP and Computational Social Science
    Bamnan, David, Doğruöz, A. Seza, Eisenstein, Jason, Hovy, Dirk, David Jurgens, O'Connor, Brendan, Oh, Alice, Tsur, Oren, Volkova, Svitlana · 2016
31. Efficient Domain Adaptation of Language Models via Adaptive Tokenization
    Vin Sachidananda, Jason S. Kessler, Yi-An Lai · 2021 · Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
32. Text as Policy: Measuring Policy Similarity Through Bill Text Reuse
    Fridolin Linder, Bruce A. Desmarais, Matthew Burgess, Eugenia Giraudy · 2016 · SSRN Electronic Journal
33. Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
    Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom, Brendan O’Connor, Mohit Iyyer · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
34. AI in power systems: a systematic review of key matters of concern
    Felipe Henao, Robert Edgell, Ambar Sharma, Jeffrey R. Olney · 2025 · Energy Informatics
35. Trajectories of Blocked Community Members: Redemption, Recidivism and Departure
    Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil · 2019 · International World Wide Web Conference (WWW)
36. A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
    Esin Durmus, Claire Cardie · 2019 · Proceedings of the conference - Association for Computational Linguistics. Meeting
37. Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling
    Mohammadzaman Zamani, H. Andrew Schwartz, johannes Christopher Eichstaedt, Sharath Chandra Guntuku, Adithya V Ganesan, Sean Clouston, Salvatore Giorgi · 2020 · Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
38. Characterizing partisan political narrative frameworks about COVID-19 on Twitter
    Elise Jing, Yong‐Yeol Ahn · 2021 · EPJ Data Science
39. Relatio : Text Semantics Capture Political and Economic Narratives
    Elliott Ash, Germain Gauthier, Philine Widmer · 2023 · Political Analysis
40. Seemo
    Zhe Liu, Anbang Xu, Yufan Guo, Jalal Mahmud, Haibin Liu, Rama Akkiraju · 2018 · CHI Conference on Human Factors in Computing Systems
41. Native Language Cognate Effects on Second Language Lexical Choice
    Ella Rabinovich, Yulia Tsvetkov, Shuly Wintner · 2018 · Transactions of the Association for Computational Linguistics
42. Topics to Avoid: Demoting Latent Confounds in Text Classification
    Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov · 2019 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
43. Human Rights Texts: Converting Human Rights Primary Source Documents into Data
    Christopher J. Fariss, Fridolin Linder, Zachary Jones, Charles David Crabtree, Megan A. Biek, Ana-Sophia M. Ross, Taranamol Kaur, Michael Tsai · 2015 · PLoS ONE
44. A Cross-cultural Analysis of Tourists’ Perceptions of Airbnb Attributes
    Yue Xi, Chenya Ma, Qiang Yang, Yushi Jiang · 2021 · International Journal of Hospitality & Tourism Administration
45. Developing Linguistic Theories Using Annotated Corpora
    Marie-Catherine de Marneffe, Christopher Potts · 2017 · Springer eBooks
46. Taking the Leap: Voting, Rhetoric, and the Determinants of Electoral Reform
    Scott Moser, Andrew Reeves · 2012 · Legislative Studies Quarterly
47. Computer-vision research powers surveillance technology
    Pratyusha Kalluri, William S. Agnew, Myra Cheng, Kentrell Owens, Luca Soldaini, Abeba Birhane · 2025 · Nature
48. Gender Differences in the Global Music Industry: Evidence from MusicBrainz and The Echo Nest
    Yi-Xue Wang, Emőke-ágnes Horvát · 2019 · International Conference on Web and Social Media
49. HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication
    István Üveges, Orsolya Ring · 2023 · IEEE Access
50. Measuring Discretion and Delegation in Legislative Texts: Methods and Application to US States
    Matia Vannoni, Elliott Ash, Massimo Morelli · 2020 · Political Analysis
51. A Method to Analyze Multiple Social Identities in Twitter Bios
    Arjunil Pathak, Navid Madani, Kenneth Joseph · 2021 · Proceedings of the ACM on Human-Computer Interaction
52. Perceived risk, political polarization, and the willingness to follow COVID-19 mitigation guidelines
    Ray Block, Michael Burnham, Kayla Kahn, Rachel X. Peng, Jeremy Seeman, Christopher Han-Fai Seto · 2022 · Social Science & Medicine
53. #Polar Scores: Measuring partisanship using social media content
    Libby Hemphill, Aron Culotta, Matthew Heston · 2016 · Journal of Information Technology & Politics
54. Outsourcing the news? An empirical assessment of the role of sources and news agencies in the contemporary news landscape
    Jelle W. Boumans · 2016 · UvA-DARE (University of Amsterdam)
55. The social silos of journalism? Twitter, news media and partisan segregation
    John Wihbey, Kenneth Joseph, David M. J. Lazer · 2018 · New Media & Society
56. Intergroup Contact in the Wild
    Jason Shuo Zhang, Chenhao Tan, Qin Lv · 2019 · Proceedings of the ACM on Human-Computer Interaction
57. Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media
    Sayan Ghosh, Dylan Baker, David Jurgens, Vinodkumar Prabhakaran · 2021 · Workshop on Noisy User-generated Text (W-NUT)
58. Etch-a-Sketching: Evaluating the Post-Primary Rhetorical Moderation Hypothesis
    Brice D. L. Acree, Justin H. Gross, Noah A. Smith, Yanchuan Sim, Amber E. Boydstun · 2018 · American Politics Research
59. Every Colour You Are: Stance Prediction and Turnaround in Controversial Issues
    Eduardo Graells-Garrido, R. Baeza-Yates, M. Lalmas · 2020 · Web Science Conference
60. Representational Style: The Central Role of Communication in Representation
    Justin Grimmer · 2010
61. Writer Profiling Without the Writer’s Text
    David Jurgens, Yulia Tsvetkov, Dan Jurafsky · 2017 · Lecture notes in computer science
62. Dictionaries, Supervised Learning, and Media Coverage of Public Policy
    Lindsay Dun, Stuart Soroka, Christopher B. Wlezien · 2020 · Political Communication
63. Wordify: A Tool for Discovering and Differentiating Consumer Vocabularies
    Dirk Hovy, Shiri Melumad, J. Jeffrey Inman · 2021 · Journal of Consumer Research
64. An Evaluation of Patient Safety Event Report Categories Using Unsupervised Topic Modeling
    Allan Fong, Raj M. Ratwani · 2015 · Methods of Information in Medicine
65. Towards Debate Automation: a Recurrent Model for Predicting Debate Winners
    Peter Potash, Anna Rumshisky · 2017 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
66. Political frames of public health crises: Discussing the opioid epidemic in the US Congress
    Max Weiss, Michael James Zoorob · 2021 · Social Science & Medicine
67. Predicting Anti-Asian Hateful Users on Twitter during COVID-19
    Jisun An, Haewoon Kwak, Claire Seungeun Lee, Bogang Jun, Yong‐Yeol Ahn · 2021 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
68. Asking too much? The rhetorical role of questions in political discourse
    Justine Zhang, Arthur Spirling, Cristian Danescu-Niculescu-Mizil · 2017 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
69. Uncertainty-aware generative models for inferring document class prevalence
    Katherine A. Keith, Brendan O’Connor · 2018 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
70. Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic
    Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
71. The Strategic Use of Legislative Voting Procedures
    Brian F. Crisp, Amanda Driscoll · 2012 · Legislative Studies Quarterly
72. Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects
    Kevin T. Greene, Baekkwan Park, Michael P. Colaresi · 2018 · Political Analysis
73. Engaged Pluralism: The Importance of Commitment
    Janet M. Box‐Steffensmeier · 2022 · Perspectives on Politics
74. Violent political rhetoric on Twitter
    Kim, Taegyoon · 2023 · Political Science Research and Methods
75. China’s human rights foreign policy in the Xi Jinping era: Normative revisionism shrouded in discursive moderation
    Titus Chih-Chieh Chen, Chia-Hao Hsu · 2020 · The British Journal of Politics and International Relations
76. Attention to the COVID‐19 Pandemic on Twitter: Partisan Differences Among U.S. State Legislators
    Taegyoon Kim, Nitheesha Nakka, Ishita Gopal, Bruce A. Desmarais, Abigail Mancinelli, Jeffrey Joseph Harden, Hyein Ko, Frederick J. Boehmke · 2021 · Legislative Studies Quarterly
77. Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods
    David Nicolas Matzig, Clemens Schmid, Felix Riede · 2023 · Humanities and Social Sciences Communications
78. Beyond Classification: Latent User Interests Profiling from Visual Contents Analysis
    Longqi Yang, Cheng-Kang Hsieh, Deborah L. Estrin · 2015 · IEEE ... International Conference on Data Mining workshops
79. Message Impartiality in Social Media Discussions
    Muhammad Bilal Zafar, Krishna P. Gummadi, Cristian Danescu-Niculescu-Mizil · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
80. Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
    Peter Sheridan Dodds, Joshua R. Minot, Matthew Arnold, Thayer Alshaabi, Jane L. Adams, David Rushing Dewhurst, Tyler J. Gray, Morgan R. Frank, Andrew J. Reagan, Christopher M. Danforth · 2020 · arXiv (Cornell University)
81. Detecting interpersonal conflict in issues and code review
    Huilian Sophie Qiu, Bogdan Vasilescu, Christian Kästner, Carolyn Egelman, Ciera N. C. Jaspan, Emerson R. Murphy-Hill · 2022 · IEEE/ACM International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)
82. Judging foreign startups
    Nataliya Langburd Wright, Rembrand Michael Koning, Tarun Khanna · 2023 · Strategic Management Journal
83. Identifying Medical Self-Disclosure in Online Communities
    Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
84. Enhancing Validity in Observational Settings When Replication is Not Possible
    Christopher J. Fariss, Zachary Jones · 2017 · Political Science Research and Methods
85. Understanding large text corpora via sparse machine learning
    Laurent El Ghaoui, Vu Pham, Guan‐Cheng Li, Viet-An Duong, Ashok N. Srivastava, Kanishka Bhaduri · 2013 · Statistical Analysis and Data Mining The ASA Data Science Journal
86. Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media
    Malvina Nissim, Viviana Patti, Barbara Plank, Claudia Wagner · 2018
87. Framing Social Movements on Social Media
    Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak · 2024 · Journal of Quantitative Description Digital Media
88. Hippocratic Abbreviation Expansion
    Brian Roark A, Richard Sproat · 2014 · Proceedings of the conference - Association for Computational Linguistics. Meeting
89. La radicalisation vue par la presse – Fluctuation d’une représentation
    Caroline Guibet Lafaye, P Brochard · 2016 · Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique
90. Measuring Governors' Political Orientations Using Words as Data
    Micah Weinberg · 2010 · State Politics & Policy Quarterly
91. Sparse Machine Learning Methods for Understanding Large Text Corpora.
    Laurent El Ghaoui, Guan‐Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri · 2011
92. Organizational context and budget orientations: a computational text analysis
    Lefteris Jason Anastasopoulos, Tima T. Moldogaziev, Tyler A. Scott · 2020 · International Public Management Journal
93. Migrants are not welcome
    Réka Benczes, Bence Ságvári · 2021 · Journal of Language and Politics
94. Three families of automated text analysis
    Austin van Loon · 2022 · Social Science Research
95. Examining risks of racial biases in NLP tools for child protective services
    Field, Anjalie, Coston, Amanda, Gandhi, Nupoor, Chouldechova, Alexandra, Putnam-Hornstein, Emily, Steier, David, Tsvetkov, Yulia · 2023 · 2023 ACM Conference on Fairness, Accountability, and Transparency
96. A network-based normalized impact measure reveals successful periods of scientific discovery across disciplines
    Qing Ke, Alexander J. Gates, Albert-Ĺaszló Barabási · 2023 · Proceedings of the National Academy of Sciences
97. Ideological Scaling of Social Media Users: A Dynamic Lexicon Approach
    Mickael Temporão, Corentin Vande Kerckhove, Clifton van der Linden, Yannick Dufresne, Julien M. Hendrickx · 2018 · Political Analysis
98. Cultural Differences in Tweeting about Drinking Across the US
    Salvatore Giorgi, David B. Yaden, johannes Christopher Eichstaedt, Robert D. Ashford, Anneke E. K. Buffone, H. Andrew Schwartz, Lyle Ungar, Brenda L. Curtis · 2020 · International Journal of Environmental Research and Public Health
99. Detecting Trending Terms in Cybersecurity Forum Discussions
    Jack Hughes, Seth Aycock, Andrew Caines, Paula J. Buttery, Alice Hutchings · 2020 · Workshop on Noisy User-generated Text (W-NUT)
100. Rethinking Text Attribute Transfer: A Lexical Analysis
     Yao Fu, Hao Zhou, Jiaze Chen, Lei Li · 2019 · International Conference on Natural Language Generation