--- title: "Social Sciences — papers — Elamur Research" description: "Social Sciences: 744 papers of the Elamur Research library · page 1 of 9 · 1–25, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/social-sciences/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/social-sciences/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / Social Sciences # 🤝 Social Sciences 744 papers · page 1 of 9 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Society, politics, law, education, communication, geography and the study of language in use. ## Subfields The sub-shelves of Social Sciences, the most papers first, with the two OpenAlex topics most of their papers here are on. 1. [**Safety Research**Ethics and Social Impacts of AI · Academic integrity and plagiarism*221 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) 2. [**Sociology and Political Science**Misinformation and Its Impacts · Historical and Linguistic Studies*221 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 3. [**Education**Arabic Language Education Studies · Education and Islamic Studies*94 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) 4. [**General Social Sciences**Computational and Text Analysis Methods*87 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) 5. [**Political Science and International Relations**Artificial Intelligence in Law · Religion, Theology, History, Judaism, Christianity*72 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) 6. [**Communication**Swearing, Euphemism, Multilingualism · Language, Communication, and Linguistic Studies*44 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) 7. [**Gender Studies**Gender Studies in Language · Gender and Technology in Education*30 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/) 8. [**Law**Digitalization, Law, and Regulation · Discrimination and Equality Law*14 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) 9. [**Cultural Studies**Language and cultural evolution*10 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/cultural-studies/) 10. [**Anthropology**Classical Antiquity Studies · Eurasian Exchange Networks*8 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/anthropology/) 11. [**Demography**Jewish Identity and Society*6 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/demography/) 12. [**Geography, Planning and Development**Geographic Information Systems Studies · Historical Geography and Cartography*4 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/geography-planning-and-development/) 13. [**Health**Indigenous Health, Education, and Rights · Social Media in Health Education*2 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/health/) 14. [**Human Factors and Ergonomics**Digital Accessibility for Disabilities*2 papers*](https://md.research.elamur.ai/free/en/shelves/social-sciences/human-factors-and-ergonomics/) ## Papers (744) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/2/) … [9](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/2/) 1. [**Latent Dirichlet Allocation**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,336 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/) 2. [**Chain-of-Thought Prompting Elicits Reasoning in Large Language Models**Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.*2022 · 11,308 citations*](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) 3. [**Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead**Cynthia Rudin*2018 · 10,431 citations*](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) 4. [**A Survey on Bias and Fairness in Machine Learning**Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.*2019 · 5,626 citations*](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/) 5. [**Explanation in Artificial Intelligence: Insights from the Social Sciences**Tim Miller*2017 · 5,364 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-explanation-artificial-intelligence-insights-social/) 6. [**Categorization and Representation of Physics Problems by Experts and Novices**Michelene T. H. Chi, Paul J. Feltovich, Robert Glaser*1981 · 5,250 citations*](https://md.research.elamur.ai/free/en/papers/chi-1981-categorization-representation-physics-problems-experts/) 7. [**Towards A Rigorous Science of Interpretable Machine Learning**Finale Doshi-Velez, Been Kim*2017 · 3,205 citations*](https://md.research.elamur.ai/free/en/papers/doshi-velez-2017-towards-rigorous-science-interpretable-machine/) 8. [**Accurate Methods for the Statistics of Surprise and Coincidence**Ted Dunning*1993 · 3,063 citations*](https://md.research.elamur.ai/free/en/papers/dunning-1993-accurate-methods-statistics-surprise-coincidence/) 9. [**On the Opportunities and Risks of Foundation Models**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,056 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) 10. [**RCV1: A New Benchmark Collection for Text Categorization Research**David D. Lewis, Yiming Yang, Tony G. Rose, et al.*2004 · 2,752 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2004-rcv1-benchmark-collection-text-categorization/) 11. [**Dynamic Topic Models**David M. Blei, John D. Lafferty*2006 · 2,512 citations*](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/) 12. [**ReAct: Synergizing Reasoning and Acting in Language Models**Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.*2022 · 2,497 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) 13. [**Assessing Agreement on Classification Tasks: The Kappa Statistic**Jean Carletta*1996 · 2,463 citations*](https://md.research.elamur.ai/free/en/papers/carletta-1996-assessing-agreement-classification-tasks-kappa/) 14. [**Exploring the Space of Topic Coherence Measures**Michael Röder, Andreas Both, Alexander Hinneburg*2015 · 2,372 citations*](https://md.research.elamur.ai/free/en/papers/roder-2015-exploring-space-topic-coherence-measures/) 15. [**Equality of Opportunity in Supervised Learning**Moritz Hardt, Eric Price, Nathan Srebro*2016 · 2,224 citations*](https://md.research.elamur.ai/free/en/papers/hardt-2016-equality-opportunity-supervised-learning/) 16. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,207 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/) 17. [**Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter**Zeerak Waseem, Dirk Hovy*2016 · 2,167 citations*](https://md.research.elamur.ai/free/en/papers/waseem-2016-hateful-symbols-or-hateful-people/) 18. [**Probabilistic Latent Semantic Analysis**Thomas Hofmann*1999 · 2,148 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-1999-probabilistic-latent-semantic-analysis/) 19. [**TruthfulQA: Measuring How Models Mimic Human Falsehoods**Stephanie Lin, Jacob Hilton, Owain Evans*2022 · 2,052 citations*](https://md.research.elamur.ai/free/en/papers/lin-2022-truthfulqa-measuring-how-models-mimic/) 20. [**Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings**Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.*2016 · 2,050 citations*](https://md.research.elamur.ai/free/en/papers/bolukbasi-2016-man-computer-programmer-woman-homemaker/) 21. [**Reading Tea Leaves: How Humans Interpret Topic Models**Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.*2009 · 2,045 citations*](https://md.research.elamur.ai/free/en/papers/chang-2009-reading-tea-leaves-humans-interpret-topic/) 22. [**“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection**William Yang Wang*2017 · 1,807 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-liar-liar-pants-fire-new/) 23. [**A Survey on Hate Speech Detection using Natural Language Processing**Anna Schmidt, Michael Wiegand*2017 · 1,805 citations*](https://md.research.elamur.ai/free/en/papers/schmidt-2017-survey-hate-speech-detection-natural/) 24. [**Survey Article: Inter-Coder Agreement for Computational Linguistics**Ron Artstein, Massimo Poesio*2008 · 1,770 citations*](https://md.research.elamur.ai/free/en/papers/artstein-2008-survey-article-inter-coder-agreement/) 25. [**BERTopic: Neural topic modeling with a class-based TF-IDF procedure**Maarten Grootendorst*2022 · 1,732 citations*](https://md.research.elamur.ai/free/en/papers/grootendorst-2022-bertopic-neural-topic-modeling-class/) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/2/) … [9](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/page/2/) Updated 24 October 2026 - [← previous shelf Psychology](https://md.research.elamur.ai/free/en/shelves/psychology/) - [↑ back to shelves](https://md.research.elamur.ai/free/en/shelves/)