{"id":"https://openalex.org/W2949542275","doi":"https://doi.org/10.1145/3292500.3330774","title":"Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration","display_name":"Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2949542275","doi":"https://doi.org/10.1145/3292500.3330774","mag":"2949542275"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330774","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330774","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005384315","display_name":"Lisa Singh","orcid":"https://orcid.org/0000-0002-8300-2970"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lisa Singh","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083369712","display_name":"Laila Wahedi","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laila Wahedi","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072807699","display_name":"Yanchen Wang","orcid":"https://orcid.org/0000-0002-1215-2277"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanchen Wang","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103071772","display_name":"Yifang Wei","orcid":"https://orcid.org/0000-0001-6566-8691"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifang Wei","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063051593","display_name":"Christo Kirov","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christo Kirov","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103759219","display_name":"Susan Martin","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susan Martin","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065491498","display_name":"Katharine M. Donato","orcid":"https://orcid.org/0000-0002-8134-669X"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katharine Donato","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067240869","display_name":"Yaguang Liu","orcid":"https://orcid.org/0000-0002-1926-444X"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaguang Liu","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081965702","display_name":"Kornraphop Kawintiranon","orcid":"https://orcid.org/0000-0003-0040-7305"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kornraphop Kawintiranon","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5005384315"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":5.7931,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94756692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1975","last_page":"1983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11645","display_name":"Urban, Neighborhood, and Segregation Studies","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7639482021331787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6612852811813354},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.6224778890609741},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6218293309211731},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5448401570320129},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5369904041290283},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49980783462524414},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.46358466148376465},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.46281898021698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41925734281539917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39436405897140503},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37270408868789673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36133241653442383},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.15639972686767578},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12387382984161377},{"id":"https://openalex.org/keywords/media-studies","display_name":"Media studies","score":0.10947537422180176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1071159839630127}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7639482021331787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6612852811813354},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.6224778890609741},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6218293309211731},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5448401570320129},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5369904041290283},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49980783462524414},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.46358466148376465},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.46281898021698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41925734281539917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39436405897140503},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37270408868789673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36133241653442383},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.15639972686767578},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12387382984161377},{"id":"https://openalex.org/C29595303","wikidata":"https://www.wikidata.org/wiki/Q165650","display_name":"Media studies","level":1,"score":0.10947537422180176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1071159839630127},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330774","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3292500.3330774","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330774","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330774","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306142","display_name":"John D. and Catherine T. MacArthur Foundation","ror":"https://ror.org/00dxczh48"},{"id":"https://openalex.org/F4320334617","display_name":"Social Sciences and Humanities Research Council of Canada","ror":"https://ror.org/04j5jqy92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949542275.pdf","grobid_xml":"https://content.openalex.org/works/W2949542275.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W116070692","https://openalex.org/W1731771962","https://openalex.org/W1841125985","https://openalex.org/W1972291369","https://openalex.org/W1981177380","https://openalex.org/W1986931439","https://openalex.org/W1994586608","https://openalex.org/W1999529874","https://openalex.org/W2051876014","https://openalex.org/W2055992762","https://openalex.org/W2056037267","https://openalex.org/W2057301737","https://openalex.org/W2075708635","https://openalex.org/W2077410220","https://openalex.org/W2079802969","https://openalex.org/W2082031033","https://openalex.org/W2125084340","https://openalex.org/W2126199848","https://openalex.org/W2129728285","https://openalex.org/W2140996921","https://openalex.org/W2143859490","https://openalex.org/W2145488574","https://openalex.org/W2151586807","https://openalex.org/W2160446276","https://openalex.org/W2171343266","https://openalex.org/W2217402295","https://openalex.org/W2288972158","https://openalex.org/W2511558409","https://openalex.org/W2543910789","https://openalex.org/W2563461824","https://openalex.org/W2572452825","https://openalex.org/W2594899909","https://openalex.org/W2769332040","https://openalex.org/W2782695809","https://openalex.org/W2809046310","https://openalex.org/W2914756073","https://openalex.org/W2963977107","https://openalex.org/W4253710237","https://openalex.org/W6910183645"],"related_works":["https://openalex.org/W2376554757","https://openalex.org/W612150824","https://openalex.org/W2361959990","https://openalex.org/W1596512750","https://openalex.org/W2383443050","https://openalex.org/W2367702734","https://openalex.org/W2100945520","https://openalex.org/W2386525189","https://openalex.org/W2360284199","https://openalex.org/W2620505790"],"abstract_inverted_index":{"Worldwide":[0],"displacement":[1,80],"due":[2],"to":[3,45,112],"war":[4],"and":[5,15,36,48,56,61,68,91],"conflict":[6],"is":[7,20,105],"at":[8],"all-time":[9],"high.":[10],"Unfortunately,":[11],"determining":[12],"if,":[13],"when,":[14],"where":[16,49],"people":[17,50],"will":[18,51],"move":[19],"a":[21,76],"complex":[22],"problem.":[23],"This":[24,103],"paper":[25],"proposes":[26],"integrating":[27],"both":[28],"publicly":[29],"available":[30],"organic":[31,57,114],"data":[32,116],"from":[33],"social":[34],"media":[35],"newspapers":[37],"with":[38,59],"more":[39],"traditional":[40,100],"indicators":[41],"of":[42,72],"forced":[43],"migration":[44],"determine":[46],"when":[47],"move.":[52],"We":[53],"combine":[54],"movement":[55],"variables":[58,93,101],"spatial":[60],"temporal":[62],"variation":[63],"within":[64],"different":[65],"Bayesian":[66],"models":[67],"show":[69],"the":[70],"viability":[71],"our":[73],"method":[74],"using":[75],"case":[77],"study":[78],"involving":[79],"in":[81],"Iraq.":[82],"Our":[83],"analysis":[84],"shows":[85],"that":[86],"incorporating":[87],"open-source":[88],"generated":[89],"conversation":[90],"event":[92],"maintains":[94],"or":[95],"improves":[96],"predictive":[97],"accuracy":[98],"over":[99],"alone.":[102],"work":[104],"an":[106],"important":[107],"step":[108],"toward":[109],"understanding":[110],"how":[111],"leverage":[113],"big":[115],"for":[117],"societal--scale":[118],"problems.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
