The UAE has arrested 35 individuals for publishing misinformation and inciting hatred related to Iran's attacks. These individuals allegedly spread false information and inflammatory content online. The arrests are part of a broader effort to maintain social stability and prevent the spread of harmful content. Why it matters: The arrests highlight the UAE's focus on regulating online discourse and countering narratives perceived as threatening national security or social harmony.
Researchers studied user lifetime prediction in the location-based social network Jodel within Saudi Arabia, leveraging its disjoint communities. Machine learning models, particularly Random Forest, were trained to predict user lifetime as a regression and classification problem. A single countrywide model generalizes well and performs similarly to community-specific models.
KAUST encouraged attendees of the 2015 Winter Enrichment Program (WEP) to share their experiences on social media using the hashtag #wep2015. The university provided tips for participants to effectively use platforms like Facebook, Twitter, and Instagram during the event. KAUST emphasized responsible sharing and respect for the university's multicultural community when posting. Why it matters: This initiative aimed to amplify the reach of WEP's activities and engage a broader audience in KAUST's community and knowledge-sharing efforts.