{"id":"https://openalex.org/W2179021455","doi":"https://doi.org/10.18653/v1/d13-1199","title":"Identifying Manipulated Offerings on Review Portals","display_name":"Identifying Manipulated Offerings on Review Portals","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2179021455","doi":"https://doi.org/10.18653/v1/d13-1199","mag":"2179021455"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1199","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1199","pdf_url":"https://aclanthology.org/D13-1199.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1199.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100758099","display_name":"Jiwei Li","orcid":"https://orcid.org/0000-0003-3655-7313"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiwei Li","raw_affiliation_strings":["School of Computer Science Carnegie Mellon University Pittsburgh , PA 15213 , USA","Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Carnegie Mellon University Pittsburgh , PA 15213 , USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076248976","display_name":"Myle Ott","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Myle Ott","raw_affiliation_strings":["Department of Computer Science Cornell University Ithaca , NY 14853 , USA","cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Cornell University Ithaca , NY 14853 , USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070511738","display_name":"Claire Cardie","orcid":"https://orcid.org/0000-0002-2061-6094"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Cardie","raw_affiliation_strings":["Department of Computer Science Cornell University Ithaca , NY 14853 , USA","cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Cornell University Ithaca , NY 14853 , USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.0514,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98676587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1933","last_page":"1942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504459619522095},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6432666778564453},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6318348050117493},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.618233859539032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.496846467256546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47184088826179504},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4527653455734253},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3587125539779663},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09004828333854675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504459619522095},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6432666778564453},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6318348050117493},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.618233859539032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.496846467256546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47184088826179504},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4527653455734253},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3587125539779663},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09004828333854675},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/d13-1199","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1199","pdf_url":"https://aclanthology.org/D13-1199.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.428.7380","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.428.7380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/home/cardie/papers/EMNLP13-Ident.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.593.15","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.593.15","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://aclweb.org/anthology/D/D13/D13-1199.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1199","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1199","pdf_url":"https://aclanthology.org/D13-1199.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5183321794","display_name":"NSCC/LA: Collaborative Research: Modeling Discourse and Social Dynamics in Authoritarian Regimes","funder_award_id":"0904822","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/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2179021455.pdf","grobid_xml":"https://content.openalex.org/works/W2179021455.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1574862351","https://openalex.org/W1775665607","https://openalex.org/W1880262756","https://openalex.org/W1967495422","https://openalex.org/W1969486090","https://openalex.org/W1973435495","https://openalex.org/W2012422639","https://openalex.org/W2047756776","https://openalex.org/W2059640750","https://openalex.org/W2073562093","https://openalex.org/W2083778364","https://openalex.org/W2089124807","https://openalex.org/W2103063352","https://openalex.org/W2112213600","https://openalex.org/W2114628914","https://openalex.org/W2126006587","https://openalex.org/W2131791003","https://openalex.org/W2137974413","https://openalex.org/W2140124448","https://openalex.org/W2154455818","https://openalex.org/W2159359879","https://openalex.org/W2160702998","https://openalex.org/W2161283199","https://openalex.org/W2251434949"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102","https://openalex.org/W4386392971"],"abstract_inverted_index":{"Recent":[0],"work":[1,22],"has":[2,23],"developed":[3],"supervised":[4],"methods":[5],"for":[6,48,61],"detecting":[7],"deceptive":[8,97],"opinion":[9],"spamfake":[10],"reviews":[11,60,105],"written":[12],"to":[13,33],"sound":[14],"authentic":[15],"and":[16],"deliberately":[17],"mislead":[18],"readers.And":[19],"whereas":[20],"past":[21],"focused":[24],"on":[25,53,99],"identifying":[26],"individual":[27,59],"fake":[28,40],"reviews,":[29],"this":[30,49],"paper":[31],"aims":[32],"identify":[34],"offerings":[35],"(e.g.,":[36],"hotels)":[37],"that":[38,80,107],"contain":[39],"reviews.We":[41],"introduce":[42,75],"a":[43,54,76,92,100],"semi-supervised":[44],"manifold":[45],"ranking":[46],"algorithm":[47],"task,":[50],"which":[51],"relies":[52],"small":[55],"set":[56],"of":[57,66,84,95,103],"labeled":[58],"training.Then,":[62],"in":[63],"the":[64,108],"absence":[65],"gold":[67],"standard":[68],"labels":[69],"(at":[70],"an":[71],"offering":[72,90],"level),":[73],"we":[74],"novel":[77,101],"evaluation":[78],"procedure":[79],"ranks":[81],"artificial":[82,89],"instances":[83],"real":[85],"offerings,":[86],"where":[87],"each":[88],"contains":[91],"known":[93],"number":[94],"injected":[96],"reviews.Experiments":[98],"dataset":[102],"hotel":[104],"show":[106],"proposed":[109],"method":[110],"outperforms":[111],"state-of-art":[112],"learning":[113],"baselines.*":[114],"If":[115,124,135],"yw":[116,125,136],"=":[117,126,137],"1:":[118],"draw":[119,128,139],"w":[120,129,140],"M":[121,130,141],"ulti(B)":[122],"*":[123,134],"2:":[127],"ulti(":[131,142],"d":[132],")":[133,144],"3:":[138],"h":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}