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Classifying Arabic Tweets Based on Credibility Using Content and User Features

Research article (2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), 2019) · cited 57× · AI/ML
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Classifying Arabic Tweets Based on Credibility Using Content and User Features

Summary

Classifying Arabic Tweets Based on Credibility Using Content and User Features is a scholarly article[1].

Key Facts

  • Classifying Arabic Tweets Based on Credibility Using Content and User Features's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Classifying Arabic Tweets Based on Credibility Using Content and User Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/classifying-arabic-tweets-based-on-credibility-using-content-and-user-features
MLA “Classifying Arabic Tweets Based on Credibility Using Content and User Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/classifying-arabic-tweets-based-on-credibility-using-content-and-user-features.
BibTeX @misc{4ortxyz_classifying-arabic-tweets-based-on-credibility-using-content-and-user-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Classifying Arabic Tweets Based on Credibility Using Content and User Features}}, year = {2026}, url = {https://4ort.xyz/entity/classifying-arabic-tweets-based-on-credibility-using-content-and-user-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Classifying Arabic Tweets Based on Credibility Using Content and User Features — https://4ort.xyz/entity/classifying-arabic-tweets-based-on-credibility-using-content-and-user-features (retrieved 2026-05-24)

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