{"id":"https://openalex.org/W3201382782","doi":"https://doi.org/10.1145/3491102.3501905","title":"Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery","display_name":"Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W3201382782","doi":"https://doi.org/10.1145/3491102.3501905","mag":"3201382782"},"language":"en","primary_location":{"id":"doi:10.1145/3491102.3501905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3491102.3501905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3491102.3501905","source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3491102.3501905","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012564810","display_name":"Jason Portenoy","orcid":"https://orcid.org/0000-0002-3340-2597"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason Portenoy","raw_affiliation_strings":["Information School, University of Washington, United States"],"affiliations":[{"raw_affiliation_string":"Information School, University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064749355","display_name":"Marissa Radensky","orcid":"https://orcid.org/0000-0002-5045-8269"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marissa Radensky","raw_affiliation_strings":["University of Washington, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046879461","display_name":"Jevin D. West","orcid":"https://orcid.org/0000-0002-4118-0322"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jevin D West","raw_affiliation_strings":["Information School, University of Washington, United States"],"affiliations":[{"raw_affiliation_string":"Information School, University of Washington, United States","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043228682","display_name":"Eric Horvitz","orcid":"https://orcid.org/0000-0002-8823-0614"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Horvitz","raw_affiliation_strings":["Microsoft Research, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085011940","display_name":"Daniel S. Weld","orcid":"https://orcid.org/0000-0002-3255-0109"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel S Weld","raw_affiliation_strings":["Paul G. Allen School of Computer Science & Engineering, University of Washington, United States and Semantic Scholar, Allen Institute for Artificial Intelligence, United States"],"affiliations":[{"raw_affiliation_string":"Paul G. Allen School of Computer Science & Engineering, University of Washington, United States and Semantic Scholar, Allen Institute for Artificial Intelligence, United States","institution_ids":["https://openalex.org/I4210156221","https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025028660","display_name":"Tom Hope","orcid":"https://orcid.org/0000-0003-1232-3635"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tom Hope","raw_affiliation_strings":["Semantic Scholar, Allen Institute for Artificial Intelligence, United States and Paul G. Allen School of Computer Science & Engineering, University of Washington, United States"],"affiliations":[{"raw_affiliation_string":"Semantic Scholar, Allen Institute for Artificial Intelligence, United States and Paul G. Allen School of Computer Science & Engineering, University of Washington, United States","institution_ids":["https://openalex.org/I4210156221","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012564810"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":1.4922,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88008231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9932000041007996,"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/information-overload","display_name":"Information overload","score":0.6697264909744263},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6662870645523071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646912097930908},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5359734892845154},{"id":"https://openalex.org/keywords/scientific-discovery","display_name":"Scientific discovery","score":0.5155391693115234},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5085521936416626},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4937950074672699},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47466352581977844},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.47204527258872986},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.4525177478790283},{"id":"https://openalex.org/keywords/long-tail","display_name":"Long tail","score":0.42407119274139404},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2961636185646057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20849084854125977},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.17298224568367004}],"concepts":[{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6697264909744263},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6662870645523071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646912097930908},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5359734892845154},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.5155391693115234},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5085521936416626},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4937950074672699},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47466352581977844},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.47204527258872986},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.4525177478790283},{"id":"https://openalex.org/C15189868","wikidata":"https://www.wikidata.org/wiki/Q534685","display_name":"Long tail","level":2,"score":0.42407119274139404},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2961636185646057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20849084854125977},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.17298224568367004},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491102.3501905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3491102.3501905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3491102.3501905","source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3491102.3501905","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3491102.3501905","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3491102.3501905","source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1352092526","display_name":null,"funder_award_id":"2033558","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1519808973","display_name":null,"funder_award_id":"N00014- 18-1-2193","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2637195115","display_name":null,"funder_award_id":"4-18-1-","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G2811237814","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G3933114365","display_name":null,"funder_award_id":"RAPID","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4238522470","display_name":null,"funder_award_id":"N00014-18-1-2193","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4582283092","display_name":"RAPID: Augmented Intelligence for Accelerating Covid-Related Scientific Discovery","funder_award_id":"2040196","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5514084231","display_name":null,"funder_award_id":"RAPID","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7329423652","display_name":null,"funder_award_id":"OIA-2033558, RAPID 2040196","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201382782.pdf","grobid_xml":"https://content.openalex.org/works/W3201382782.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W204619582","https://openalex.org/W1015675232","https://openalex.org/W1525595230","https://openalex.org/W1583059097","https://openalex.org/W1928454594","https://openalex.org/W1932742904","https://openalex.org/W1964521649","https://openalex.org/W1991154713","https://openalex.org/W2002779084","https://openalex.org/W2026844232","https://openalex.org/W2031305127","https://openalex.org/W2045108252","https://openalex.org/W2049017883","https://openalex.org/W2050125880","https://openalex.org/W2101234009","https://openalex.org/W2108680868","https://openalex.org/W2127201730","https://openalex.org/W2130354913","https://openalex.org/W2176408056","https://openalex.org/W2192812558","https://openalex.org/W2332282745","https://openalex.org/W2340802269","https://openalex.org/W2562236173","https://openalex.org/W2599784308","https://openalex.org/W2645731340","https://openalex.org/W2737388338","https://openalex.org/W2788283780","https://openalex.org/W2792220144","https://openalex.org/W2897429051","https://openalex.org/W2898725686","https://openalex.org/W2912178159","https://openalex.org/W2913077324","https://openalex.org/W2913853152","https://openalex.org/W2918228465","https://openalex.org/W2935051602","https://openalex.org/W2962972512","https://openalex.org/W2963718112","https://openalex.org/W2965373594","https://openalex.org/W2970641574","https://openalex.org/W2984582583","https://openalex.org/W2993670251","https://openalex.org/W3002807420","https://openalex.org/W3034100208","https://openalex.org/W3034238904","https://openalex.org/W3035324702","https://openalex.org/W3035446616","https://openalex.org/W3038744824","https://openalex.org/W3043485137","https://openalex.org/W3088672512","https://openalex.org/W3094495518","https://openalex.org/W3096283138","https://openalex.org/W3099396524","https://openalex.org/W3100521056","https://openalex.org/W3103109037","https://openalex.org/W3103786884","https://openalex.org/W3106224367","https://openalex.org/W3128893582","https://openalex.org/W3130629985","https://openalex.org/W3136510568","https://openalex.org/W3159397047","https://openalex.org/W3172883962","https://openalex.org/W3191638286","https://openalex.org/W3196208810","https://openalex.org/W4226191312","https://openalex.org/W4299687421"],"related_works":["https://openalex.org/W3134493632","https://openalex.org/W1602080981","https://openalex.org/W4242208525","https://openalex.org/W2544661358","https://openalex.org/W2543533418","https://openalex.org/W2125652721","https://openalex.org/W4240249180","https://openalex.org/W1972752099","https://openalex.org/W1540371141","https://openalex.org/W4245659985"],"abstract_inverted_index":{"Isolated":[0],"silos":[1],"of":[2,9,45,55,122,146],"scientific":[3,149],"research":[4,103],"and":[5,17,22,47,63,67,77,84,138],"the":[6,15,116,120,144],"growing":[7],"challenge":[8],"information":[10,58,112],"overload":[11],"limit":[12],"awareness":[13],"across":[14],"literature":[16],"hinder":[18],"innovation.":[19],"Algorithmic":[20],"curation":[21],"recommendation,":[23],"which":[24],"often":[25],"prioritize":[26],"relevance,":[27],"can":[28],"further":[29],"reinforce":[30],"these":[31],"informational":[32],"\u201cfilter":[33],"bubbles.\u201d":[34],"In":[35,86],"response,":[36],"we":[37],"describe":[38],"Bridger,":[39],"a":[40,52],"system":[41],"for":[42,100,110],"facilitating":[43],"discovery":[44],"scholars":[46],"their":[48,61],"work.":[49],"We":[50,105],"construct":[51],"faceted":[53],"representation":[54],"authors":[56,97,132],"with":[57,88],"gleaned":[59],"from":[60],"papers":[62],"inferred":[64],"author":[65],"personas,":[66],"use":[68],"it":[69],"to":[70,81,118],"develop":[71],"an":[72,108],"approach":[73,93,109],"that":[74,129],"locates":[75],"commonalities":[76],"contrasts":[78],"between":[79],"scientists":[80],"balance":[82],"relevance":[83],"novelty.":[85],"studies":[87],"computer":[89],"science":[90],"researchers,":[91],"this":[92],"helps":[94],"users":[95],"discover":[96],"considered":[98],"useful":[99],"generating":[101],"novel":[102],"directions.":[104],"also":[106],"demonstrate":[107],"displaying":[111],"about":[113],"authors,":[114],"boosting":[115],"ability":[117],"understand":[119],"work":[121],"new,":[123],"unfamiliar":[124],"scholars.":[125],"Our":[126],"analysis":[127],"reveals":[128],"Bridger":[130],"connects":[131],"who":[133],"have":[134],"different":[135,141],"citation":[136],"profiles":[137],"publish":[139],"in":[140],"venues,":[142],"raising":[143],"prospect":[145],"bridging":[147],"diverse":[148],"communities.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}