--- title: "Who cites Classifying Information Sources in — 2 citing papers" description: "2 papers of the Elamur Research library cite «Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious…" canonical: "https://research.elamur.ai/free/en/papers/alsudias-2019-classifying-information-sources-arabic-twitter/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/alsudias-2019-classifying-information-sources-arabic-twitter/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Classifying Information Sources in Arabic Twitter…](https://md.research.elamur.ai/free/en/papers/alsudias-2019-classifying-information-sources-arabic-twitter/) / cited by # Who cites «Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases» 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 «Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases»](https://md.research.elamur.ai/free/en/papers/alsudias-2019-classifying-information-sources-arabic-twitter/) 1. **[COVID-19 and Arabic Twitter: How can Arab World Governments and Public Health Organizations Learn from Social Media?](https://md.research.elamur.ai/free/en/papers/alsudias-2020-covid-19-arabic-twitter-how/) [Workshop on NLP for COVID-19 at ACL](https://md.research.elamur.ai/free/en/venues/nlpcovid19/)**Lama Alsudias, Paul Rayson*2020 · 49 citations* 2. **[Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology](https://md.research.elamur.ai/free/en/papers/alsudias-2020-developing-arabic-infectious-disease-ontology/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lama Alsudias, Paul Rayson*2020 · 5 citations* - [← back to](https://md.research.elamur.ai/free/en/papers/alsudias-2019-classifying-information-sources-arabic-twitter/) — Classifying Information Sources in Arabic Twitter to Support Online Monitoring of Infectious Diseases