--- title: "Communication — papers" description: "Communication: 35 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas, references and who…" canonical: "https://research.elamur.ai/free/en/shelves/social-sciences/communication/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/social-sciences/communication/) [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/) / Communication # 🤝 Communication 35 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Communication is a subfield of Social Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Swearing, Euphemism, Multilingualism», «Communication and COVID-19 Impact», «Journalism and Media Studies». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/page/2/) 1. [**SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,109 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/) 2. [**Abusive Language Detection on Arabic Social Media**Hamdy Mubarak, Kareem Darwish, Walid Magdy*2017 · 411 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2017-abusive-language-detection-arabic-social/) 3. [**The Media Frames Corpus: Annotations of Frames Across Issues**Dallas Card, Amber E. Boydstun, Justin H. Gross, et al.*2015 · 359 citations*](https://md.research.elamur.ai/free/en/papers/card-2015-media-frames-corpus-annotations-frames/) 4. [**Predicting Factuality of Reporting and Bias of News Media Sources**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/) 5. [**Detection of Abusive Language: the Problem of Biased Datasets**Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer*2019 · 259 citations*](https://md.research.elamur.ai/free/en/papers/wiegand-2019-detection-abusive-language-problem-biased/) 6. [**Hurtlex: A Multilingual Lexicon of Words to Hurt**Elisa Bassignana, Valerio Basile, Viviana Patti*2018 · 254 citations*](https://md.research.elamur.ai/free/en/papers/bassignana-2018-hurtlex-multilingual-lexicon-words-hurt/) 7. [**A Corpus of Turkish Offensive Language on Social Media**Çağrı Çöltekin*2020 · 200 citations*](https://md.research.elamur.ai/free/en/papers/coltekin-2020-corpus-turkish-offensive-language-social/) 8. [**COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic**Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/saakyan-2021-covid-fact-fact-extraction-verification/) 9. [**Offensive Language Identification in Greek**Zesis Pitenis, Marcos Zampieri, Tharindu Ranasinghe*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/pitenis-2020-offensive-language-identification-greek/) 10. [**Arabic Offensive Language on Twitter: Analysis and Experiments**Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al.*2021 · 165 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) 11. [**I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2020 · 157 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/) 12. [**Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators' Disagreement**Elisa Leonardelli, Stefano Menini, Alessio Palmero Aprosio, et al.*2021 · 132 citations*](https://md.research.elamur.ai/free/en/papers/leonardelli-2021-agreeing-disagree-annotating-offensive-language/) 13. [**Offensive Language and Hate Speech Detection for Danish**Gudbjartur Ingi Sigurbergsson, Leon Derczynski*2020 · 106 citations*](https://md.research.elamur.ai/free/en/papers/sigurbergsson-2020-offensive-language-hate-speech-detection/) 14. [**Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury*2022 · 96 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2022-emojis-anchors-detect-arabic-offensive/) 15. [**Behind the Article: Recognizing Dialog Acts in Wikipedia Talk Pages**Oliver Ferschke, Iryna Gurevych, Yevgen Chebotar*2012 · 81 citations*](https://md.research.elamur.ai/free/en/papers/ferschke-2012-behind-article-recognizing-dialog-acts/) 16. [**Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection**Lara Grimminger, Roman Klinger*2021 · 73 citations*](https://md.research.elamur.ai/free/en/papers/grimminger-2021-hate-political-opponent-twitter-corpus/) 17. [**A Multi-Platform Arabic News Comment Dataset for Offensive Language Detection**Shammur Absar Chowdhury, Hamdy Mubarak, Ahmed Abdelali, et al.*2020 · 64 citations*](https://md.research.elamur.ai/free/en/papers/chowdhury-2020-multi-platform-arabic-news-comment/) 18. [**Large Arabic Twitter Dataset on COVID-19**Sarah Alqurashi, Ahmad Alhindi, Eisa Alanazi*2020 · 46 citations*](https://md.research.elamur.ai/free/en/papers/alqurashi-2020-large-arabic-twitter-dataset-covid/) 19. [**Arabic Offensive Language Detection Using Machine Learning and Ensemble Machine Learning Approaches**Fatemah Husain*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/husain-2020-arabic-offensive-language-detection-using/) 20. [**Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language**Oussama Boucherit, Kheireddine Abainia*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/boucherit-2022-offensive-language-detection-under-resourced/) 21. [**ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination**Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury, et al.*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2022-arcovidvac-analyzing-arabic-tweets-about/) 22. [**Offensive Hebrew Corpus and Detection using BERT**Nagham Hamad, Mustafa Jarrar, Mohammad Khalilia, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/hamad-2023-offensive-hebrew-corpus-detection-using/) 23. [**Offensive language detection in Hebrew: can other languages help?**Marina Litvak, Natalia Vanetik, Chaya Liebeskind, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/litvak-2022-offensive-language-detection-hebrew-can/) 24. [**FloDusTA: Saudi Tweets Dataset for Flood, Dust Storm, and Traffic Accident Events**Btool Hamoui, Mourad Mars, Khaled Almotairi*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hamoui-2020-flodusta-saudi-tweets-dataset-flood/) 25. [**A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings**Fitsum Gaim, Hoyun Song, Huije Lee, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gaim-2025-multi-task-benchmark-abusive-language/) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/page/2/) Updated 23 October 2026 - [← previous subfield Anthropology](https://md.research.elamur.ai/free/en/shelves/social-sciences/anthropology/) - [next subfield → Cultural Studies](https://md.research.elamur.ai/free/en/shelves/social-sciences/cultural-studies/) - [↑ back to Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/)