Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon
<div><p>While the fighting in the Syrian civil war has mostly stopped, an estimated 5.6 million Syrians remain living in neighboring countries1. Of these, an estimated 1.5 million are sheltering in Lebanon. Ongoing efforts by organizations such as UNHCR to support the refugee population...
محفوظ في:
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| مؤلفون آخرون: | , , , , , , |
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2022
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إضافة وسم
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| _version_ | 1864513519672623104 |
|---|---|
| author | Masoomali Fatehkia (6294026) |
| author2 | Zinnya del Villar (18282187) Till Koebe (9617217) Emmanuel Letouzé (15233342) Andres Lozano (8454639) Roaa Al Feel (18282190) Fouad Mrad (18282193) Ingmar Weber (149886) |
| author2_role | author author author author author author author |
| author_facet | Masoomali Fatehkia (6294026) Zinnya del Villar (18282187) Till Koebe (9617217) Emmanuel Letouzé (15233342) Andres Lozano (8454639) Roaa Al Feel (18282190) Fouad Mrad (18282193) Ingmar Weber (149886) |
| author_role | author |
| dc.creator.none.fl_str_mv | Masoomali Fatehkia (6294026) Zinnya del Villar (18282187) Till Koebe (9617217) Emmanuel Letouzé (15233342) Andres Lozano (8454639) Roaa Al Feel (18282190) Fouad Mrad (18282193) Ingmar Weber (149886) |
| dc.date.none.fl_str_mv | 2022-11-30T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fdata.2022.1033530 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Using_Facebook_advertising_data_to_describe_the_socio-economic_situation_of_Syrian_refugees_in_Lebanon/25516537 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Information systems Syrian civil war Lebanon Facebook advertising data big data vulnerability assessmet |
| dc.title.none.fl_str_mv | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>While the fighting in the Syrian civil war has mostly stopped, an estimated 5.6 million Syrians remain living in neighboring countries1. Of these, an estimated 1.5 million are sheltering in Lebanon. Ongoing efforts by organizations such as UNHCR to support the refugee population are often ineffective in reaching those most in need. According to UNHCR's 2019 Vulnerability Assessment of Syrian Refugees Report (VASyR), only 44% of the Syrian refugee families eligible for multipurpose cash assistance were provided with help, as the others were not captured in the data. In this project, we are investigating the use of non-traditional data, derived from Facebook advertising data, for population level vulnerability assessment. In a nutshell, Facebook provides advertisers with an estimate of how many of its users match certain targeting criteria, e.g., how many Facebook users currently living in Beirut are “living abroad,” aged 18–34, speak Arabic, and primarily use an iOS device. We evaluate the use of such audience estimates to describe the spatial variation in the socioeconomic situation of Syrian refugees across Lebanon. Using data from VASyR as ground truth, we find that iOS device usage explains 90% of the out-of-sample variance in poverty across the Lebanese governorates. However, evaluating predictions at a smaller spatial resolution also indicate limits related to sparsity, as Facebook, for privacy reasons, does not provide audience estimates for fewer than 1,000 users. Furthermore, comparing the population distribution by age and gender of Facebook users with that of the Syrian refugees from VASyR suggests an under-representation of Syrian women on the social media platform. This work adds to growing body of literature demonstrating the value of anonymous and aggregate Facebook advertising data for analysing large-scale humanitarian crises and migration events.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Big Data<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdata.2022.1033530" target="_blank">https://dx.doi.org/10.3389/fdata.2022.1033530</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_7f4b5064ab4abb892f569cce706f3075 |
| identifier_str_mv | 10.3389/fdata.2022.1033530 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25516537 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in LebanonMasoomali Fatehkia (6294026)Zinnya del Villar (18282187)Till Koebe (9617217)Emmanuel Letouzé (15233342)Andres Lozano (8454639)Roaa Al Feel (18282190)Fouad Mrad (18282193)Ingmar Weber (149886)Information and computing sciencesArtificial intelligenceInformation systemsSyrian civil warLebanonFacebook advertising databig datavulnerability assessmet<div><p>While the fighting in the Syrian civil war has mostly stopped, an estimated 5.6 million Syrians remain living in neighboring countries1. Of these, an estimated 1.5 million are sheltering in Lebanon. Ongoing efforts by organizations such as UNHCR to support the refugee population are often ineffective in reaching those most in need. According to UNHCR's 2019 Vulnerability Assessment of Syrian Refugees Report (VASyR), only 44% of the Syrian refugee families eligible for multipurpose cash assistance were provided with help, as the others were not captured in the data. In this project, we are investigating the use of non-traditional data, derived from Facebook advertising data, for population level vulnerability assessment. In a nutshell, Facebook provides advertisers with an estimate of how many of its users match certain targeting criteria, e.g., how many Facebook users currently living in Beirut are “living abroad,” aged 18–34, speak Arabic, and primarily use an iOS device. We evaluate the use of such audience estimates to describe the spatial variation in the socioeconomic situation of Syrian refugees across Lebanon. Using data from VASyR as ground truth, we find that iOS device usage explains 90% of the out-of-sample variance in poverty across the Lebanese governorates. However, evaluating predictions at a smaller spatial resolution also indicate limits related to sparsity, as Facebook, for privacy reasons, does not provide audience estimates for fewer than 1,000 users. Furthermore, comparing the population distribution by age and gender of Facebook users with that of the Syrian refugees from VASyR suggests an under-representation of Syrian women on the social media platform. This work adds to growing body of literature demonstrating the value of anonymous and aggregate Facebook advertising data for analysing large-scale humanitarian crises and migration events.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Big Data<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fdata.2022.1033530" target="_blank">https://dx.doi.org/10.3389/fdata.2022.1033530</a></p>2022-11-30T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fdata.2022.1033530https://figshare.com/articles/journal_contribution/Using_Facebook_advertising_data_to_describe_the_socio-economic_situation_of_Syrian_refugees_in_Lebanon/25516537CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/255165372022-11-30T03:00:00Z |
| spellingShingle | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon Masoomali Fatehkia (6294026) Information and computing sciences Artificial intelligence Information systems Syrian civil war Lebanon Facebook advertising data big data vulnerability assessmet |
| status_str | publishedVersion |
| title | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| title_full | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| title_fullStr | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| title_full_unstemmed | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| title_short | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| title_sort | Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon |
| topic | Information and computing sciences Artificial intelligence Information systems Syrian civil war Lebanon Facebook advertising data big data vulnerability assessmet |