--- title: "Who cites Assessing Arabic Weblog — 2 citing papers" description: "2 papers of the Elamur Research library cite «Assessing Arabic Weblog Credibility via Deep Co-learning», found in their bibliographies; the…" canonical: "https://research.elamur.ai/free/en/papers/helwe-2019-assessing-arabic-weblog-credibility-deep/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/helwe-2019-assessing-arabic-weblog-credibility-deep/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Assessing Arabic Weblog Credibility via Deep…](https://md.research.elamur.ai/free/en/papers/helwe-2019-assessing-arabic-weblog-credibility-deep/) / cited by # Who cites «Assessing Arabic Weblog Credibility via Deep Co-learning» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Assessing Arabic Weblog Credibility via Deep Co-learning»](https://md.research.elamur.ai/free/en/papers/helwe-2019-assessing-arabic-weblog-credibility-deep/) 1. **[Arabic Fake News Detection Based on Deep Contextualized Embedding Models](https://md.research.elamur.ai/free/en/papers/nassif-2022-arabic-fake-news-detection-based/) [Neural Computing and Applications](https://md.research.elamur.ai/free/en/venues/neural-computing-and-applications/)**Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.*2022 · 90 citations* 2. **[Machine Generation and Detection of Arabic Manipulated and Fake News](https://md.research.elamur.ai/free/en/papers/nagoudi-2020-machine-generation-detection-arabic-manipulated/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed, et al.*2020 · 68 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/helwe-2019-assessing-arabic-weblog-credibility-deep/) — Assessing Arabic Weblog Credibility via Deep Co-learning