Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | HT 2022 |
| Untertitel | 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022 |
| Seiten | 214-219 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9781450392334 |
| Publikationsstatus | Veröffentlicht - 28 Juni 2022 |
| Veranstaltung | 33rd ACM Conference on Hypertext and Social Media, HT 2022 - Co-located with ACM WebSci 2022 and ACM UMAP 2022 - Virtual, Online, Spanien Dauer: 28 Juni 2022 → 1 Juli 2022 |
Publikationsreihe
| Name | HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022 |
|---|
Abstract
Prior refugee-related studies have primarily examined social media deliberations to probe societal opinions around a specific refugee event. Contrarily, our study attempts to identify the various stages of their journey from displacement to emplacement in the host nation. We draw insights from Gennep's seminal work, i.e., Les Rites de Passage, to identify four phases of the refugee journey: Arrival of Refugees, Temporal stay at Asylums, Rehabilitation, and Integration of Refugees into the host nation. To test our proposed framework, we have collected multimodal tweets from April 15, 2020, to March 15, 2021. A fusion of BERT+LSTM (for text inputs) and InceptionV4 (for image inputs) has reported an F1-score of 80.93%. Subsequently, to test the practical implication of our proposed model in real-time, we have considered the 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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Software
Ziele für nachhaltige Entwicklung
Zitieren
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- Harvard
- Apa
- Vancouver
- BibTex
- RIS
HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022. 2022. S. 214-219 (HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Rites de Passage
T2 - 33rd ACM Conference on Hypertext and Social Media, HT 2022 - Co-located with ACM WebSci 2022 and ACM UMAP 2022
AU - Khatua, Aparup
AU - Nejdl, Wolfgang
N1 - Funding Information: Funding for this paper was, in part, provided by the European Union’s Horizon 2020 research and innovation program under Grant Agreement No: 832921.
PY - 2022/6/28
Y1 - 2022/6/28
N2 - Prior refugee-related studies have primarily examined social media deliberations to probe societal opinions around a specific refugee event. Contrarily, our study attempts to identify the various stages of their journey from displacement to emplacement in the host nation. We draw insights from Gennep's seminal work, i.e., Les Rites de Passage, to identify four phases of the refugee journey: Arrival of Refugees, Temporal stay at Asylums, Rehabilitation, and Integration of Refugees into the host nation. To test our proposed framework, we have collected multimodal tweets from April 15, 2020, to March 15, 2021. A fusion of BERT+LSTM (for text inputs) and InceptionV4 (for image inputs) has reported an F1-score of 80.93%. Subsequently, to test the practical implication of our proposed model in real-time, we have considered the 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.
AB - Prior refugee-related studies have primarily examined social media deliberations to probe societal opinions around a specific refugee event. Contrarily, our study attempts to identify the various stages of their journey from displacement to emplacement in the host nation. We draw insights from Gennep's seminal work, i.e., Les Rites de Passage, to identify four phases of the refugee journey: Arrival of Refugees, Temporal stay at Asylums, Rehabilitation, and Integration of Refugees into the host nation. To test our proposed framework, we have collected multimodal tweets from April 15, 2020, to March 15, 2021. A fusion of BERT+LSTM (for text inputs) and InceptionV4 (for image inputs) has reported an F1-score of 80.93%. Subsequently, to test the practical implication of our proposed model in real-time, we have considered the 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.
KW - 2022 Ukrainian Refugee Crisis
KW - Multimodal Framework
KW - Refugee Journey
KW - Social Media
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85134230511&partnerID=8YFLogxK
U2 - https://doi.org/10.48550/arXiv.2206.03248
DO - https://doi.org/10.48550/arXiv.2206.03248
M3 - Conference contribution
AN - SCOPUS:85134230511
T3 - HT 2022: 33rd ACM Conference on Hypertext and Social Media - Co-located with ACM WebSci 2022 and ACM UMAP 2022
SP - 214
EP - 219
BT - HT 2022
Y2 - 28 June 2022 through 1 July 2022
ER -