{"id":"https://openalex.org/W3141283115","doi":"https://doi.org/10.1109/ccwc51732.2021.9375916","title":"Decoding Linguistic Ambiguity in Times of Emergency based on Twitter Disaster Datasets","display_name":"Decoding Linguistic Ambiguity in Times of Emergency based on Twitter Disaster Datasets","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3141283115","doi":"https://doi.org/10.1109/ccwc51732.2021.9375916","mag":"3141283115"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc51732.2021.9375916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9375916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043981942","display_name":"Austin Hembree","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Austin Hembree","raw_affiliation_strings":["George Mason University"],"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044152755","display_name":"Andrew D. Beggs","orcid":"https://orcid.org/0000-0003-0784-2967"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Beggs","raw_affiliation_strings":["George Mason University"],"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001200161","display_name":"Tiffany Marshall","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiffany Marshall","raw_affiliation_strings":["George Mason University"],"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051594591","display_name":"Ebrima Ceesay","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ebrima N Ceesay","raw_affiliation_strings":["George Mason University"],"affiliations":[{"raw_affiliation_string":"George Mason University","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043981942"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6697075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T10028","display_name":"Topic Modeling","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756638765335083},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7201474905014038},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6912555694580078},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.523465096950531},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49309465289115906},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.484739750623703},{"id":"https://openalex.org/keywords/information-sharing","display_name":"Information sharing","score":0.44326314330101013},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4325806498527527},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4238576292991638},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4197401702404022},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.41497525572776794},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35041943192481995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22688230872154236},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08804759383201599}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756638765335083},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7201474905014038},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6912555694580078},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.523465096950531},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49309465289115906},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.484739750623703},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.44326314330101013},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4325806498527527},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4238576292991638},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4197401702404022},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.41497525572776794},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35041943192481995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22688230872154236},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08804759383201599},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc51732.2021.9375916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9375916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7200000286102295,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1570753985","https://openalex.org/W1613233837","https://openalex.org/W1964422937","https://openalex.org/W1975299532","https://openalex.org/W2023736093","https://openalex.org/W2045789120","https://openalex.org/W2051066035","https://openalex.org/W2098437222","https://openalex.org/W2106656704","https://openalex.org/W2128415447","https://openalex.org/W2150040148","https://openalex.org/W2161659626","https://openalex.org/W2241711049","https://openalex.org/W2251939518","https://openalex.org/W2467206427","https://openalex.org/W2468627062","https://openalex.org/W2572377613","https://openalex.org/W2787414878","https://openalex.org/W2896304678","https://openalex.org/W2896457183","https://openalex.org/W2940355763","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2964126051","https://openalex.org/W2969138254","https://openalex.org/W2989947381","https://openalex.org/W3000021552","https://openalex.org/W3013568625","https://openalex.org/W3095466214","https://openalex.org/W3104569204","https://openalex.org/W3116492894","https://openalex.org/W3126694655","https://openalex.org/W3132668218","https://openalex.org/W3176130152","https://openalex.org/W4385245566","https://openalex.org/W6683936867","https://openalex.org/W6691459498","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6767406315","https://openalex.org/W6788077412","https://openalex.org/W6789916643","https://openalex.org/W6790570576","https://openalex.org/W6797538772"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W4390608645","https://openalex.org/W2470643824","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W2945669656","https://openalex.org/W2896935836"],"abstract_inverted_index":{"As":[0],"of":[1,28,44,78],"November":[2],"2020,":[3],"the":[4,76],"massively":[5],"popular":[6],"social":[7],"media":[8],"site":[9],"Twitter":[10,36,50,138],"boasts":[11],"1.3":[12],"billion":[13],"accounts,":[14],"330":[15],"million":[16,21],"monthly":[17],"users,":[18],"and":[19,99,130],"500":[20],"tweets":[22,114,136],"per":[23],"day.":[24],"The":[25],"sheer":[26],"volume":[27],"data":[29],"shared":[30],"on":[31,85],"this":[32,55,59],"platform":[33,77],"has":[34,74],"legitimized":[35],"as":[37],"a":[38,106,116,122,148],"real-time":[39,70,154],"information":[40,48,71,84,155],"sharing":[41,72],"monolith.":[42],"Millions":[43],"people":[45],"can":[46,110],"share":[47],"via":[49],"making":[51],"it's":[52],"power":[53,66],"in":[54,87,137,151],"space":[56],"undeniable.":[57],"In":[58,141],"project,":[60],"we'd":[61],"like":[62],"to":[63,82,94,134,146,156],"use":[64],"that":[65,109],"for":[67,127],"good.":[68],"Twitter's":[69],"prowess":[73],"become":[75],"interest":[79],"when":[80],"attempting":[81],"learn":[83],"events":[86],"progress.":[88],"This":[89],"paper":[90],"identifies":[91],"Tweets":[92],"related":[93],"disasters,":[95],"accidents,":[96],"or":[97],"emergencies":[98],"determines":[100],"such":[101],"statements'":[102],"sincerity.":[103],"We":[104],"introduce":[105],"new":[107],"model":[108,125],"detect":[111,135],"real":[112],"emergency":[113],"with":[115],"high":[117],"classification":[118,129],"accuracy":[119],"by":[120],"using":[121],"transfer":[123],"learning":[124],"BERT":[126],"emotion":[128],"behavior":[131],"modeling":[132],"approach":[133],"disaster":[139],"datasets.":[140],"doing":[142],"so,":[143],"we":[144],"hope":[145],"provide":[147],"great":[149],"service":[150],"identifying":[152],"relevant,":[153],"first":[157],"responders.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
