🤝 Social Sciences

744 papers · page 2 of 9 · 26–125 · the most cited first · all shelves

Society, politics, law, education, communication, geography and the study of language in use.

📄 Papers (744)

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26. Language (Technology) is Power: A Critical Survey of “Bias” in NLPSu Lin Blodgett, Solon Barocas, Hal Daumé III, et al.2020 · 1,703 citations
27. ChatGPT Outperforms Crowd-Workers for Text-Annotation TasksFabrizio Gilardi, Meysam Alizadeh, Maël Kubli2023 · 1,533 citations
28. LEGAL-BERT: The Muppets straight out of Law SchoolIlias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.2020 · 1,493 citations
29. NLTK: The Natural Language ToolkitSteven Bird2006 · 1,374 citations
30. Optimizing Semantic Coherence in Topic ModelsDavid Mimno, Hanna Wallach, Edmund Talley, et al.2011 · 1,338 citations
31. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in TwitterValerio Basile, Cristina Bosco, Elisabetta Fersini, et al.2019 · 1,312 citations
32. RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language ModelsSamuel Gehman, Suchin Gururangan, Maarten Sap, et al.2020 · 1,281 citations
33. Diachronic Word Embeddings Reveal Statistical Laws of Semantic ChangeWilliam L. Hamilton, Jure Leskovec, Dan Jurafsky2016 · 1,273 citations
34. Gender Bias in Coreference Resolution: Evaluation and Debiasing MethodsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2018 · 1,186 citations
35. The Risk of Racial Bias in Hate Speech DetectionMaarten Sap, Dallas Card, Saadia Gabriel, et al.2019 · 1,152 citations
36. StereoSet: Measuring stereotypical bias in pretrained language modelsMoin Nadeem, Anna Bethke, Siva Reddy2021 · 1,132 citations
37. SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.2019 · 1,113 citations
38. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
39. Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-CheckingHannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.2017 · 1,074 citations
40. OpenAI o1 System CardOpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,065 citations
41. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2017 · 1,032 citations
42. Automated Hate Speech Detection and the Problem of Offensive LanguageThomas Davidson, Dana Warmsley, Michael Macy, et al.2017 · 1,015 citations
43. Out of One, Many: Using Language Models to Simulate Human SamplesLisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.2022 · 944 citations
44. Topic Modeling in Embedding SpacesAdji B. Dieng, Francisco J. R. Ruiz, David M. Blei2020 · 915 citations
45. CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language ModelsNikita Nangia, Clara Vania, Rasika Bhalerao, et al.2020 · 887 citations
46. Gender Bias in Coreference ResolutionRachel Rudinger, Jason Naradowsky, Brian Leonard, et al.2018 · 852 citations
47. Automatic Evaluation of Topic CoherenceDavid Newman, Jey Han Lau, Karl Grieser, et al.2010 · 825 citations
48. A Stylometric Inquiry into Hyperpartisan and Fake NewsMartin Potthast, Johannes Kiesel, Kevin Reinartz, et al.2018 · 810 citations
49. Finding Deceptive Opinion Spam by Any Stretch of the ImaginationMyle Ott, Yejin Choi, Claire Cardie, et al.2011 · 810 citations
50. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
51. Rumor has it: Identifying Misinformation in MicroblogsVahed Qazvinian, Emily Rosengren, Dragomir R. Radev, et al.2011 · 771 citations
52. Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on TwitterZeerak Waseem2016 · 767 citations
53. On Measuring Social Biases in Sentence EncodersChandler May, Alex Wang, Shikha Bordia, et al.2019 · 761 citations
54. The Woman Worked as a Babysitter: On Biases in Language GenerationEmily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.2019 · 753 citations
55. A Joint Model of Text and Aspect Ratings for Sentiment SummarizationIvan Titov, Ryan McDonald2008 · 729 citations
56. Mitigating Gender Bias in Natural Language Processing: Literature ReviewTony Sun, Andrew Gaut, Shirlyn Tang, et al.2019 · 718 citations
57. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel LearningJing Ma, Wei Gao, Kam-Fai Wong2017 · 714 citations
58. Rumor Detection on Twitter with Tree-structured Recursive Neural NetworksJing Ma, Wei Gao, Kam-Fai Wong2018 · 708 citations
59. Fact or Fiction: Verifying Scientific ClaimsDavid Wadden, Shanchuan Lin, Kyle Lo, et al.2020 · 706 citations
60. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model QualityJey Han Lau, David Newman, Timothy Baldwin2014 · 702 citations
61. Understanding Abuse: A Typology of Abusive Language Detection SubtasksZeerak Waseem, Thomas Davidson, Dana Warmsley, et al.2017 · 697 citations
62. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 692 citations
63. Social Bias Frames: Reasoning about Social and Power Implications of LanguageMaarten Sap, Saadia Gabriel, Lianhui Qin, et al.2020 · 681 citations
64. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural NetworksNicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.2018 · 668 citations
65. Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
66. CCNet: Extracting High Quality Monolingual Datasets from Web Crawl DataGuillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.2020 · 651 citations
67. HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language ModelsJunyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.2023 · 647 citations
68. A Survey on Automated Fact-CheckingZhijiang Guo, Michael Schlichtkrull, Andreas Vlachos2022 · 646 citations
69. Persistent Anti-Muslim Bias in Large Language ModelsAbubakar Abid, Maheen Farooqi, James Zou2021 · 644 citations
70. Evaluating Gender Bias in Machine TranslationGabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer2019 · 589 citations
71. Measuring Bias in Contextualized Word RepresentationsKeita Kurita, Nidhi Vyas, Ayush Pareek, et al.2019 · 588 citations
72. Hate Speech Dataset from a White Supremacy ForumOna de Gibert, Naiara Perez, Aitor García-Pablos, et al.2018 · 583 citations
73. Racial Bias in Hate Speech and Abusive Language Detection DatasetsThomas Davidson, Debasmita Bhattacharya, Ingmar Weber2019 · 580 citations
74. Examining Gender and Race Bias in Two Hundred Sentiment Analysis SystemsSvetlana Kiritchenko, Saif Mohammad2018 · 574 citations
75. ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech DetectionThomas Hartvigsen, Saadia Gabriel, Hamid Palangi, et al.2022 · 571 citations
76. An Unsupervised Aspect-Sentiment Model for Online ReviewsSamuel Brody, Noemie Elhadad2010 · 570 citations
77. Development and Use of a Gold-Standard Data Set for Subjectivity ClassificationsJanyce M. Wiebe, Rebecca F. Bruce, Thomas P. O'Hara1999 · 568 citations
78. A Categorical Archive of ChatGPT FailuresAli Borji2023 · 558 citations
79. Neural Legal Judgment Prediction in EnglishIlias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras2019 · 558 citations
80. Release Strategies and the Social Impacts of Language ModelsIrene Solaiman, Miles Brundage, Jack Clark, et al.2019 · 545 citations
81. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsChaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 529 citations
82. Fact Checking: Task definition and dataset constructionAndreas Vlachos, Sebastian Riedel2014 · 523 citations
83. How Does NLP Benefit Legal System: A Summary of Legal Artificial IntelligenceHaoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.2020 · 518 citations
84. The Social Impact of Natural Language ProcessingDirk Hovy, Shannon L. Spruit2016 · 518 citations
85. Learning Gender-Neutral Word EmbeddingsJieyu Zhao, Yichao Zhou, Zeyu Li, et al.2018 · 514 citations
86. TabFact: A Large-scale Dataset for Table-based Fact VerificationWenhu Chen, Hongmin Wang, Jianshu Chen, et al.2019 · 508 citations
87. Gender Bias in Contextualized Word EmbeddingsJieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2019 · 505 citations
88. BBQ: A hand-built bias benchmark for question answeringAlicia Parrish, Angelica Chen, Nikita Nangia, et al.2022 · 488 citations
89. Null It Out: Guarding Protected Attributes by Iterative Nullspace ProjectionShauli Ravfogel, Yanai Elazar, Hila Gonen, et al.2020 · 480 citations
90. Legal Judgment Prediction via Topological LearningHaoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.2018 · 480 citations
91. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
92. An Unsupervised Neural Attention Model for Aspect ExtractionRuidan He, Wee Sun Lee, Hwee Tou Ng, et al.2017 · 473 citations
93. Learning Whom to Trust with MACEDirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, et al.2013 · 472 citations
94. GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social MediaYi-Ju Lu, Cheng-Te Li2020 · 468 citations
95. Defending Against Neural Fake NewsRowan Zellers, Ari Holtzman, Hannah Rashkin, et al.2019 · 466 citations
96. Reducing Gender Bias in Abusive Language DetectionJi Ho Park, Jamin Shin, Pascale Fung2018 · 465 citations
97. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 460 citations
98. Emergent: a novel data-set for stance classificationWilliam Ferreira, Andreas Vlachos2016 · 458 citations
99. Inducing Domain-Specific Sentiment Lexicons from Unlabeled CorporaWilliam L. Hamilton, Kevin Clark, Jure Leskovec, et al.2016 · 434 citations
100. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsMatthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 432 citations
101. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 429 citations
102. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumoursLeon Derczynski, Kalina Bontcheva, Maria Liakata, et al.2017 · 429 citations
103. The Internal State of an LLM Knows When It's LyingAmos Azaria, Tom Mitchell2023 · 427 citations
104. Deal or No Deal? End-to-End Learning of Negotiation DialoguesMike Lewis, Denis Yarats, Yann Dauphin, et al.2017 · 421 citations
105. Recognizing Stances in Ideological On-Line DebatesSwapna Somasundaran, Janyce Wiebe2010 · 416 citations
106. Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective AnnotationsAida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran2022 · 415 citations
107. Abusive Language Detection on Arabic Social MediaHamdy Mubarak, Kareem Darwish, Walid Magdy2017 · 414 citations
108. Gender and Dialect Bias in YouTube's Automatic CaptionsRachael Tatman2017 · 414 citations
109. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove ThemHila Gonen, Yoav Goldberg2019 · 413 citations
110. Multilingual and Multi-Aspect Hate Speech AnalysisNedjma Ousidhoum, Zizheng Lin, Hongming Zhang, et al.2019 · 410 citations
111. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
112. Social Biases in NLP Models as Barriers for Persons with DisabilitiesBen Hutchinson, Vinodkumar Prabhakaran, Emily Denton, et al.2020 · 404 citations
113. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesDouwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 404 citations
114. Gender Bias in Neural Natural Language ProcessingKaiji Lu, Piotr Mardziel, Fangjing Wu, et al.2018 · 394 citations
115. Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 392 citations
116. DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningKashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.2018 · 391 citations
117. Representation Engineering: A Top-Down Approach to AI TransparencyAndy Zou, Long Phan, Sarah Chen, et al.2023 · 386 citations
118. Gender and Representation Bias in GPT-3 Generated StoriesLi Lucy, David Bamman2021 · 385 citations
119. Truth Is a Lie: Crowd Truth and the Seven Myths of Human AnnotationLora M. Aroyo, Chris Welty2015 · 385 citations
120. Aligning AI With Shared Human ValuesDan Hendrycks, Collin Burns, Steven Basart, et al.2020 · 383 citations
121. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 381 citations
122. Fine-Grained Analysis of Propaganda in News ArticlesGiovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, et al.2019 · 379 citations
123. CAIL2018: A Large-Scale Legal Dataset for Judgment PredictionChaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.2018 · 375 citations
124. Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich MorphologyRan Zmigrod, Sabrina J. Mielke, Hanna Wallach, et al.2019 · 372 citations
125. SemEval-2020 Task 11: Detection of Propaganda Techniques in News ArticlesGiovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al.2020 · 371 citations

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