During emergencies, those affected use social media platforms to interact and collaborate. Social media is used to seek help, offer moral support, and help each other without direct face-to-face interaction. From a social presence perspective, we analyzed facebook feeds to understand how people cooperated and collaborated during earthquake struck southern and central Turkiye and northern and western Syria. I investigated manual content analysis to create a social presence classifier incorporating the concepts of intimacy and immediacy, which we use to train a machine learning method to subsequently analyze the entire dataset  about 5000 posts. The results showed that the majority of instant posts communicated the need and urgency of those affected to seek help. We argue that online social presence during catastrophes creates a sense of ownership and shared identity among social media users to participate in catastrophes relief efforts