--- title: "Sociology and Political Science — papers" description: "Sociology and Political Science: 221 papers of the Elamur Research library · page 1 of 3 · 1–25, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/) / Sociology and Political Science # 🤝 Sociology and Political Science 221 papers · page 1 of 3 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Sociology and Political Science is a subfield of Social Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Misinformation and Its Impacts», «Historical and Linguistic Studies», «Privacy, Security, and Data Protection». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/2/) 1. [**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/) 2. [**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/) 3. [**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/) 4. [**“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/) 5. [**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/) 6. [**SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter**Valerio Basile, Cristina Bosco, Elisabetta Fersini, et al.*2019 · 1,312 citations*](https://md.research.elamur.ai/free/en/papers/basile-2019-semeval-2019-task-5-multilingual/) 7. [**Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking**Hannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.*2017 · 1,074 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/) 8. [**Automated Hate Speech Detection and the Problem of Offensive Language**Thomas Davidson, Dana Warmsley, Michael Macy, et al.*2017 · 1,015 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2017-automated-hate-speech-detection-problem/) 9. [**A Stylometric Inquiry into Hyperpartisan and Fake News**Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al.*2018 · 810 citations*](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/) 10. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 810 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/) 11. [**Rumor has it: Identifying Misinformation in Microblogs**Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, et al.*2011 · 771 citations*](https://md.research.elamur.ai/free/en/papers/qazvinian-2011-rumor-has-it-identifying-misinformation/) 12. [**Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter**Zeerak Waseem*2016 · 767 citations*](https://md.research.elamur.ai/free/en/papers/waseem-2016-are-you-racist-or-am/) 13. [**Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning**Jing Ma, Wei Gao, Kam-Fai Wong*2017 · 714 citations*](https://md.research.elamur.ai/free/en/papers/ma-2017-detect-rumors-microblog-posts-propagation/) 14. [**Rumor Detection on Twitter with Tree-structured Recursive Neural Networks**Jing Ma, Wei Gao, Kam-Fai Wong*2018 · 708 citations*](https://md.research.elamur.ai/free/en/papers/ma-2018-rumor-detection-twitter-tree-structured/) 15. [**Fact or Fiction: Verifying Scientific Claims**David Wadden, Shanchuan Lin, Kyle Lo, et al.*2020 · 706 citations*](https://md.research.elamur.ai/free/en/papers/wadden-2020-fact-or-fiction-verifying-scientific/) 16. [**Understanding Abuse: A Typology of Abusive Language Detection Subtasks**Zeerak Waseem, Thomas Davidson, Dana Warmsley, et al.*2017 · 697 citations*](https://md.research.elamur.ai/free/en/papers/waseem-2017-understanding-abuse-typology-abusive-language/) 17. [**Social Bias Frames: Reasoning about Social and Power Implications of Language**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 681 citations*](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) 18. [**The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks**Nicholas Carlini, Chang Liu, Ulfar Erlingsson, et al.*2018 · 668 citations*](https://md.research.elamur.ai/free/en/papers/carlini-2018-secret-sharer-evaluating-testing-unintended/) 19. [**HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 647 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/) 20. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/) 21. [**Hate Speech Dataset from a White Supremacy Forum**Ona de Gibert, Naiara Perez, Aitor García-Pablos, et al.*2018 · 583 citations*](https://md.research.elamur.ai/free/en/papers/gibert-2018-hate-speech-dataset-white-supremacy/) 22. [**ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection**Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, et al.*2022 · 571 citations*](https://md.research.elamur.ai/free/en/papers/hartvigsen-2022-toxigen-large-scale-machine-generated/) 23. [**An Unsupervised Aspect-Sentiment Model for Online Reviews**Samuel Brody, Noemie Elhadad*2010 · 570 citations*](https://md.research.elamur.ai/free/en/papers/brody-2010-unsupervised-aspect-sentiment-model-online/) 24. [**Fact Checking: Task definition and dataset construction**Andreas Vlachos, Sebastian Riedel*2014 · 523 citations*](https://md.research.elamur.ai/free/en/papers/vlachos-2014-fact-checking-task-definition-dataset/) 25. [**TabFact: A Large-scale Dataset for Table-based Fact Verification**Wenhu Chen, Hongmin Wang, Jianshu Chen, et al.*2019 · 508 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-tabfact-large-scale-dataset-table/) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/page/2/) Updated 24 October 2026 - [← previous subfield Safety Research](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) - [↑ back to Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/)