  Social media deliberations allow to explore refugee-related is-sues. AI-based
studies have investigated refugee issues mostly around a specific event and
considered unimodal approaches. Contrarily, we have employed a multimodal
architecture for probing the refugee journeys from their home to host nations.
We draw insights from Arnold van Gennep's anthropological work 'Les Rites de
Passage', which systematically analyzed an individual's transition from one
group or society to another. Based on Gennep's
separation-transition-incorporation framework, we have identified four phases
of refugee journeys: Arrival of Refugees, Temporal stay at Asylums,
Rehabilitation, and Integration of Refugees into the host nation. We collected
0.23 million multimodal tweets from April 2020 to March 2021 for testing this
proposed frame-work. We find that a combination of transformer-based language
models and state-of-the-art image recognition models, such as fusion of
BERT+LSTM and InceptionV4, can out-perform unimodal models. Subsequently, to
test the practical implication of our proposed model in real-time, we have
considered 0.01 million multimodal tweets related to the 2022 Ukrainian refugee
crisis. An F1-score of 71.88 % for this 2022 crisis confirms the
generalizability of our proposed framework.
