🤝 Social Sciences
Society, politics, law, education, communication, geography and the study of language in use.
Papers (744)
- Green AIRoy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 370 citations
- Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social GoodXuewei Wang, Weiyan Shi, Richard Kim, et al.2019 · 369 citations
- Political Ideology Detection Using Recursive Neural NetworksMohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al.2014 · 369 citations
- Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceFederico Bianchi, Silvia Terragni, Dirk Hovy2021 · 366 citations
- Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language DetectionMaarten Sap, Swabha Swayamdipta, Laura Vianna, et al.2022 · 365 citations
- Latent Hatred: A Benchmark for Understanding Implicit Hate SpeechMai ElSherief, Caleb Ziems, David Muchlinski, et al.2021 · 365 citations
- The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and EvaluationBarbara Plank2022 · 364 citations
- Identifying and Reducing Gender Bias in Word-Level Language ModelsShikha Bordia, Samuel R. Bowman2019 · 364 citations
- The Media Frames Corpus: Annotations of Frames Across IssuesDallas Card, Amber E. Boydstun, Justin H. Gross, et al.2015 · 359 citations
- Adversarial Removal of Demographic Attributes from Text DataYanai Elazar, Yoav Goldberg2018 · 357 citations
- Towards Understanding Sycophancy in Language ModelsMrinank Sharma, Meg Tong, Tomasz Korbak, et al.2023 · 355 citations
- BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
- Toxicity in chatgpt: Analyzing persona-assigned language modelsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 346 citations
- The Creation and Analysis of a Website Privacy Policy CorpusShomir Wilson, Florian Schaub, Aswarth Abhilash Dara, et al.2016 · 336 citations
- SemEval-2019 Task 4: Hyperpartisan News DetectionJohannes Kiesel, Maria Mestre, Rishabh Shukla, et al.2019 · 335 citations
- Predicting Factuality of Reporting and Bias of News Media SourcesRamy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.2018 · 335 citations
- A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech DetectionAditya Bohra, Deepanshu Vijay, Vinay Singh, et al.2018 · 333 citations
- Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word EmbeddingsThomas Manzini, Lim Yao Chong, Alan W Black, et al.2019 · 332 citations
- Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 331 citations
- Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic ChangeWilliam L. Hamilton, Jure Leskovec, Dan Jurafsky2016 · 325 citations
- The Fact Extraction and VERification (FEVER) Shared TaskJames Thorne, Andreas Vlachos, Oana Cocarascu, et al.2018 · 322 citations
- Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate DetectionBertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.2021 · 320 citations
- MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of ClaimsIsabelle Augenstein, Christina Lioma, Dongsheng Wang, et al.2019 · 319 citations
- Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI)Elisabetta Fersini, Debora Nozza, Paolo Rosso2018 · 315 citations
- Explainable Automated Fact-Checking for Public Health ClaimsNeema Kotonya, Francesca Toni2020 · 314 citations
- Gender Bias in Machine TranslationBeatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
- Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Peter Hase, Mohit Bansal2020 · 309 citations
- Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
- Challenges and frontiers in abusive content detectionBertie Vidgen, Alex Harris, Dong Nguyen, et al.2019 · 307 citations
- Get out the vote: Determining support or opposition from Congressional floor-debate transcriptsMatt Thomas, Bo Pang, Lillian Lee2006 · 307 citations
- From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsShangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 306 citations
- Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT modelMarzieh Mozafari, Reza Farahbakhsh, Noel Crespi2020 · 305 citations
- Automated Fact Checking: Task Formulations, Methods and Future DirectionsJames Thorne, Andreas Vlachos2018 · 303 citations
- Learning to Write with Cooperative DiscriminatorsAri Holtzman, Jan Buys, Maxwell Forbes, et al.2018 · 301 citations
- Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 300 citations
- S2ORC: The Semantic Scholar Open Research CorpusKyle Lo, Lucy Lu Wang, Mark Neumann, et al.2019 · 298 citations
- Towards Debiasing Fact Verification ModelsTal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.2019 · 296 citations
- Evaluating Verifiability in Generative Search EnginesNelson Liu, Tianyi Zhang, Percy Liang2023 · 294 citations
- A Benchmark Dataset for Learning to Intervene in Online Hate SpeechJing Qian, Anna Bethke, Yinyin Liu, et al.2019 · 292 citations
- Ethical Research Protocols for Social Media Health ResearchAdrian Benton, Glen Coppersmith, Mark Dredze2017 · 292 citations
- SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for RumoursGenevieve Gorrell, Elena Kochkina, Maria Liakata, et al.2019 · 290 citations
- Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceTal Schuster, Adam Fisch, Regina Barzilay2021 · 289 citations
- GEAR: Graph-based Evidence Aggregating and Reasoning for Fact VerificationJie Zhou, Xu Han, Cheng Yang, et al.2019 · 288 citations
- A Bayesian Mixed Effects Model of Literary CharacterDavid Bamman, Ted Underwood, Noah A. Smith2014 · 285 citations
- Large-Scale Multi-Label Text Classification on EU LegislationIlias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, et al.2019 · 283 citations
- Fine-grained Fact Verification with Kernel Graph Attention NetworkZhenghao Liu, Chenyan Xiong, Maosong Sun, et al.2020 · 282 citations
- Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyYong Cao, Li Zhou, Seolhwa Lee, et al.2023 · 278 citations
- COVIDLies: Detecting COVID-19 Misinformation on Social MediaTamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, et al.2020 · 270 citations
- Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 268 citations
- Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic RepresentationsEmily Allaway, Kathleen McKeown2020 · 268 citations
- Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
- CUAD: An Expert-Annotated NLP Dataset for Legal Contract ReviewDan Hendrycks, Collin Burns, Anya Chen, et al.2021 · 267 citations
- Jailbreaking ChatGPT via Prompt Engineering: An Empirical StudyYi Liu, Gelei Deng, Zhengzi Xu, et al.2023 · 266 citations
- Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationEmily Dinan, Angela Fan, Adina Williams, et al.2020 · 266 citations
- Towards Understanding and Mitigating Social Biases in Language ModelsPaul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.2021 · 265 citations
- Evaluating the Underlying Gender Bias in Contextualized Word EmbeddingsChristine Basta, Marta R. Costa-jussà, Noe Casas2019 · 265 citations
- Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
- Detection of Abusive Language: the Problem of Biased DatasetsMichael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer2019 · 261 citations
- Towards Debiasing Sentence RepresentationsPaul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 259 citations
- Distinguish Confusing Law Articles for Legal Judgment PredictionNuo Xu, Pinghui Wang, Long Chen, et al.2020 · 258 citations
- UKP-Athene: Multi-Sentence Textual Entailment for Claim VerificationAndreas Hanselowski, Hao Zhang, Zile Li, et al.2018 · 258 citations
- L-HSAB: A Levantine Twitter Dataset for Hate Speech and Abusive LanguageHala Mulki, Hatem Haddad, Chedi Bechikh Ali, et al.2019 · 256 citations
- Hurtlex: A Multilingual Lexicon of Words to HurtElisa Bassignana, Valerio Basile, Viviana Patti2018 · 255 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishIlias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 254 citations
- Decolonising Speech and Language TechnologySteven Bird2020 · 254 citations
- Societal Biases in Language Generation: Progress and ChallengesEmily Sheng, Kai-Wei Chang, Prem Natarajan, et al.2021 · 253 citations
- Measuring and Reducing Gendered Correlations in Pre-trained ModelsKellie Webster, Xuezhi Wang, Ian Tenney, et al.2020 · 253 citations
- An Italian Twitter Corpus of Hate Speech against ImmigrantsManuela Sanguinetti, Fabio Poletto, Cristina Bosco, et al.2018 · 253 citations
- Revisiting Readability: A Unified Framework for Predicting Text QualityEmily Pitler, Ani Nenkova2008 · 253 citations
- ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and ExplanationVijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al.2021 · 251 citations
- Generalizing Word Lattice TranslationChristopher Dyer, Smaranda Muresan, Philip Resnik2008 · 249 citations
- Interpreting Pretrained Contextualized Representations via Reductions to Static EmbeddingsRishi Bommasani, Kelly Davis, Claire Cardie2020 · 248 citations
- Overview of the EVALITA 2018 Hate Speech Detection TaskCristina Bosco, Felice Dell'Orletta, Fabio Poletto, et al.2018 · 248 citations
- Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitectureJiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 247 citations
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
- Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 246 citations
- Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 242 citations
- Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
- Stance Classification using Dialogic Properties of PersuasionMarilyn Walker, Pranav Anand, Rob Abbott, et al.2012 · 241 citations
- RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
- Conventional Orthography for Dialectal ArabicNizar Habash, Mona Diab, Owen Rambow2012 · 237 citations
- Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language ModelsMyra Cheng, Esin Durmus, Dan Jurafsky2023 · 236 citations
- SemEval-2022 Task 5: Multimedia Automatic Misogyny IdentificationElisabetta Fersini, Francesca Gasparini, Giulia Rizzi, et al.2022 · 234 citations
- Stance Classification of Ideological Debates: Data, Models, Features, and ConstraintsKazi Saidul Hasan, Vincent Ng2013 · 233 citations
- ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningPetter Tornberg2023 · 231 citations
- Cross-topic Argument Mining from Heterogeneous SourcesChristian Stab, Tristan Miller, Benjamin Schiller, et al.2018 · 229 citations
- Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language TechnologiesSunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.2021 · 228 citations
- Learning to Deceive with Attention-Based ExplanationsDanish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.2020 · 227 citations
- TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
- A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 222 citations
- Identifying Appropriate Support for Propositions in Online User CommentsJoonsuk Park, Claire Cardie2014 · 222 citations
- HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 221 citations
- Reasoning Over Semantic-Level Graph for Fact CheckingWanjun Zhong, Jingjing Xu, Duyu Tang, et al.2020 · 221 citations
- Few-Shot Charge Prediction with Discriminative Legal AttributesZikun Hu, Xiang Li, Cunchao Tu, et al.2018 · 221 citations
- Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 220 citations
- Generating Fact Checking ExplanationsPepa Atanasova, Jakob Grue Simonsen, Christina Lioma, et al.2020 · 220 citations
- Systematic Inequalities in Language Technology Performance across the World's LanguagesDamian Blasi, Antonios Anastasopoulos, Graham Neubig2022 · 214 citations
- MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their TargetsShraman Pramanick, Shivam Sharma, Dimitar Dimitrov, et al.2021 · 212 citations
- An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language ModelsNicholas Meade, Elinor Poole-Dayan, Siva Reddy2022 · 211 citations
- CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate SpeechYi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, et al.2019 · 209 citations
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