{"id":"https://openalex.org/W3154793975","doi":"https://doi.org/10.1145/3404835.3463120","title":"Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search","display_name":"Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3154793975","doi":"https://doi.org/10.1145/3404835.3463120","mag":"3154793975"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463120","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5101480198","display_name":"Ronak Pradeep","orcid":"https://orcid.org/0000-0001-6296-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ronak Pradeep","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021623012","display_name":"Xueguang Ma","orcid":"https://orcid.org/0000-0003-3430-4910"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xueguang Ma","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030647281","display_name":"Rodrigo Nogueira","orcid":"https://orcid.org/0000-0002-2600-6035"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rodrigo Nogueira","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082997975","display_name":"Jimmy Lin","orcid":"https://orcid.org/0000-0002-0661-7189"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jimmy Lin","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101480198"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":3.22,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93036353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2066","last_page":"2070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9882000088691711,"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/misinformation","display_name":"Misinformation","score":0.8169835805892944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458521723747253},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6744006872177124},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6472710371017456},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6187142729759216},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5704988837242126},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5440577268600464},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4102345108985901},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3690439462661743},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1619238257408142}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8169835805892944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458521723747253},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6744006872177124},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6472710371017456},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6187142729759216},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5704988837242126},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5440577268600464},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4102345108985901},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3690439462661743},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1619238257408142},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3463120","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326644","display_name":"Canada First Research Excellence Fund","ror":null},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W2000431947","https://openalex.org/W2091379987","https://openalex.org/W2096937925","https://openalex.org/W2489487449","https://openalex.org/W2740321901","https://openalex.org/W2899154813","https://openalex.org/W2945127593","https://openalex.org/W2963846996","https://openalex.org/W2963961878","https://openalex.org/W2981852735","https://openalex.org/W2988245244","https://openalex.org/W3022143756","https://openalex.org/W3032917259","https://openalex.org/W3034361442","https://openalex.org/W3039677769","https://openalex.org/W3083137311","https://openalex.org/W3092952717","https://openalex.org/W3093924713","https://openalex.org/W3099446234","https://openalex.org/W3099977667","https://openalex.org/W3100107515","https://openalex.org/W3140853032","https://openalex.org/W3173838993","https://openalex.org/W3180230246","https://openalex.org/W4236912465","https://openalex.org/W4285719527","https://openalex.org/W4288089799"],"related_works":["https://openalex.org/W3162771305","https://openalex.org/W2962733633","https://openalex.org/W4297957245","https://openalex.org/W2746499228","https://openalex.org/W2150136235","https://openalex.org/W3016291788","https://openalex.org/W51364034","https://openalex.org/W2053591227","https://openalex.org/W2041353081","https://openalex.org/W2581240705"],"abstract_inverted_index":{"The":[0],"COVID-19":[1],"pandemic":[2],"has":[3,22,43],"brought":[4],"about":[5],"a":[6,92,148],"proliferation":[7],"of":[8,38],"harmful":[9,85,101],"news":[10],"articles":[11],"online,":[12],"with":[13],"sources":[14],"lacking":[15],"credibility":[16],"and":[17,52,114],"misrepresenting":[18],"scientific":[19],"facts.":[20],"Misinformation":[21,123],"real":[23],"consequences":[24],"for":[25,32,110],"consumer":[26],"health":[27,33],"search,":[28],"i.e.,":[29],"users":[30],"searching":[31],"information.":[34],"In":[35],"the":[36,119,128,140,145],"context":[37],"multi-stage":[39],"ranking":[40,66,113],"architectures,":[41],"there":[42],"been":[44,73],"little":[45],"work":[46],"exploring":[47],"whether":[48],"they":[49],"prioritize":[50],"correct":[51],"credible":[53,78],"information":[54],"over":[55],"misinformation.":[56,86],"We":[57],"find":[58],"that,":[59],"indeed,":[60],"training":[61],"models":[62,80,109],"on":[63,144],"standard":[64],"relevance":[65,112],"datasets":[67],"like":[68],"MS":[69],"MARCO":[70],"passage---which":[71],"have":[72],"curated":[74],"to":[75],"contain":[76],"mostly":[77],"information---yields":[79],"that":[81,96,156],"might":[82],"also":[83],"promote":[84],"To":[87],"rectify":[88],"this,":[89],"we":[90,157],"propose":[91],"label":[93,115],"prediction":[94],"technique":[95],"can":[97,158],"separate":[98],"helpful":[99],"from":[100],"content.":[102],"Our":[103,131],"design":[104],"leverages":[105],"pretrained":[106],"sequence-to-sequence":[107],"transformer":[108],"both":[111],"prediction.":[116],"Evaluated":[117],"at":[118],"TREC":[120],"2020":[121],"Health":[122],"Track,":[124],"our":[125],"techniques":[126],"represent":[127],"top-ranked":[129],"system:":[130],"best":[132],"submitted":[133],"run":[134,142],"was":[135],"19.2":[136],"points":[137],"higher":[138],"than":[139],"second-best":[141],"based":[143],"primary":[146],"metric,":[147],"68%":[149],"relative":[150],"improvement.":[151],"Additional":[152],"post-hoc":[153],"experiments":[154],"show":[155],"boost":[159],"effectiveness":[160],"by":[161],"another":[162],"3.5":[163],"points.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}