Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data
<p dir="ltr">In times of crisis, real‐time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion of Ukraine on February 24, 2022, forcibly displaced millions of people from their homes including nearly 6 million refugees flowing...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , , , , , , , , , |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513507092856832 |
|---|---|
| author | Douglas R. Leasure (4533181) |
| author2 | Ridhi Kashyap (7371500) Francesco Rampazzo (10642768) Claire A. Dooley (2909681) Benjamin Elbers (10092426) Maksym Bondarenko (6851540) Mark Verhagen (19482442) Arun Frey (11644030) Jiani Yan (19482445) Evelina T. Akimova (19482448) Masoomali Fatehkia (6294026) Robert Trigwell (19482451) Andrew J. Tatem (7417688) Ingmar Weber (149886) Melinda C. Mills (7911158) |
| author2_role | author author author author author author author author author author author author author author |
| author_facet | Douglas R. Leasure (4533181) Ridhi Kashyap (7371500) Francesco Rampazzo (10642768) Claire A. Dooley (2909681) Benjamin Elbers (10092426) Maksym Bondarenko (6851540) Mark Verhagen (19482442) Arun Frey (11644030) Jiani Yan (19482445) Evelina T. Akimova (19482448) Masoomali Fatehkia (6294026) Robert Trigwell (19482451) Andrew J. Tatem (7417688) Ingmar Weber (149886) Melinda C. Mills (7911158) |
| author_role | author |
| dc.creator.none.fl_str_mv | Douglas R. Leasure (4533181) Ridhi Kashyap (7371500) Francesco Rampazzo (10642768) Claire A. Dooley (2909681) Benjamin Elbers (10092426) Maksym Bondarenko (6851540) Mark Verhagen (19482442) Arun Frey (11644030) Jiani Yan (19482445) Evelina T. Akimova (19482448) Masoomali Fatehkia (6294026) Robert Trigwell (19482451) Andrew J. Tatem (7417688) Ingmar Weber (149886) Melinda C. Mills (7911158) |
| dc.date.none.fl_str_mv | 2023-04-01T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1111/padr.12558 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Nowcasting_Daily_Population_Displacement_in_Ukraine_through_Social_Media_Advertising_Data/26830216 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Human society Human geography Information and computing sciences Data management and data science Human-centred computing Population Displacement Real-Time Data Mapping Humanitarian Response Social Media Data Internal Displacement Refugee Tracking Conflict-Related Migration |
| dc.title.none.fl_str_mv | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In times of crisis, real‐time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion of Ukraine on February 24, 2022, forcibly displaced millions of people from their homes including nearly 6 million refugees flowing across the border in just a few weeks, but information was scarce regarding displaced and vulnerable populations who remained inside Ukraine. We leveraged social media data from Facebook's advertising platform in combination with preconflict population data to build a real‐time monitoring system to estimate subnational population sizes every day disaggregated by age and sex. Using this approach, we estimated that 5.3 million people had been internally displaced away from their baseline administrative region in the first three weeks after the start of the conflict. Results revealed four distinct displacement patterns: large‐scale evacuations, refugee staging areas, internal areas of refuge, and irregular dynamics. While the use of social media provided one of the only quantitative estimates of internal displacement in the conflict setting in virtual real time, we conclude by acknowledging risks and challenges of these new data streams for the future.</p><h2>Other Information</h2><p dir="ltr">Published in: Population and Development Review<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/padr.12558" target="_blank">https://dx.doi.org/10.1111/padr.12558</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_79b3a01fbb0ca5bb7d3a17ef61154831 |
| identifier_str_mv | 10.1111/padr.12558 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26830216 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising DataDouglas R. Leasure (4533181)Ridhi Kashyap (7371500)Francesco Rampazzo (10642768)Claire A. Dooley (2909681)Benjamin Elbers (10092426)Maksym Bondarenko (6851540)Mark Verhagen (19482442)Arun Frey (11644030)Jiani Yan (19482445)Evelina T. Akimova (19482448)Masoomali Fatehkia (6294026)Robert Trigwell (19482451)Andrew J. Tatem (7417688)Ingmar Weber (149886)Melinda C. Mills (7911158)Human societyHuman geographyInformation and computing sciencesData management and data scienceHuman-centred computingPopulation DisplacementReal-Time Data MappingHumanitarian Response Social Media DataInternal DisplacementRefugee TrackingConflict-Related Migration<p dir="ltr">In times of crisis, real‐time data mapping population displacements are invaluable for targeted humanitarian response. The Russian invasion of Ukraine on February 24, 2022, forcibly displaced millions of people from their homes including nearly 6 million refugees flowing across the border in just a few weeks, but information was scarce regarding displaced and vulnerable populations who remained inside Ukraine. We leveraged social media data from Facebook's advertising platform in combination with preconflict population data to build a real‐time monitoring system to estimate subnational population sizes every day disaggregated by age and sex. Using this approach, we estimated that 5.3 million people had been internally displaced away from their baseline administrative region in the first three weeks after the start of the conflict. Results revealed four distinct displacement patterns: large‐scale evacuations, refugee staging areas, internal areas of refuge, and irregular dynamics. While the use of social media provided one of the only quantitative estimates of internal displacement in the conflict setting in virtual real time, we conclude by acknowledging risks and challenges of these new data streams for the future.</p><h2>Other Information</h2><p dir="ltr">Published in: Population and Development Review<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/padr.12558" target="_blank">https://dx.doi.org/10.1111/padr.12558</a></p>2023-04-01T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1111/padr.12558https://figshare.com/articles/journal_contribution/Nowcasting_Daily_Population_Displacement_in_Ukraine_through_Social_Media_Advertising_Data/26830216CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268302162023-04-01T00:00:00Z |
| spellingShingle | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data Douglas R. Leasure (4533181) Human society Human geography Information and computing sciences Data management and data science Human-centred computing Population Displacement Real-Time Data Mapping Humanitarian Response Social Media Data Internal Displacement Refugee Tracking Conflict-Related Migration |
| status_str | publishedVersion |
| title | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| title_full | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| title_fullStr | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| title_full_unstemmed | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| title_short | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| title_sort | Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data |
| topic | Human society Human geography Information and computing sciences Data management and data science Human-centred computing Population Displacement Real-Time Data Mapping Humanitarian Response Social Media Data Internal Displacement Refugee Tracking Conflict-Related Migration |