{"id":"https://openalex.org/W2109104042","doi":"https://doi.org/10.1145/2470654.2481374","title":"Contextifier","display_name":"Contextifier","publication_year":2013,"publication_date":"2013-04-27","ids":{"openalex":"https://openalex.org/W2109104042","doi":"https://doi.org/10.1145/2470654.2481374","mag":"2109104042"},"language":"en","primary_location":{"id":"doi:10.1145/2470654.2481374","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2470654.2481374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/A5068008545","display_name":"Jessica Hullman","orcid":"https://orcid.org/0000-0001-6826-3550"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jessica Hullman","raw_affiliation_strings":["University of Michigan, Ann Arbor, Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079222963","display_name":"Nicholas Diakopoulos","orcid":"https://orcid.org/0000-0001-5005-6123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas Diakopoulos","raw_affiliation_strings":["Interaction Foundry, New York, New York, USA"],"affiliations":[{"raw_affiliation_string":"Interaction Foundry, New York, New York, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064931337","display_name":"Eytan Adar","orcid":"https://orcid.org/0000-0003-1911-836X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eytan Adar","raw_affiliation_strings":["University of Michigan, Ann Arbor, Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068008545"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":6.3582,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.97068432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2707","last_page":"2716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.998199999332428,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9962000250816345,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9171827435493469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8238756656646729},{"id":"https://openalex.org/keywords/salience","display_name":"Salience (neuroscience)","score":0.6916688084602356},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6141115427017212},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5736343264579773},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.44065213203430176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4285047650337219},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4240313768386841},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.41303133964538574},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38497018814086914},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34416937828063965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2126622200012207}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9171827435493469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238756656646729},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.6916688084602356},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6141115427017212},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5736343264579773},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.44065213203430176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4285047650337219},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4240313768386841},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.41303133964538574},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38497018814086914},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34416937828063965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2126622200012207},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2470654.2481374","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2470654.2481374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W75235505","https://openalex.org/W202113353","https://openalex.org/W238803855","https://openalex.org/W330700155","https://openalex.org/W595611337","https://openalex.org/W1500952994","https://openalex.org/W1591708989","https://openalex.org/W1981261542","https://openalex.org/W1996894838","https://openalex.org/W2005580324","https://openalex.org/W2029389635","https://openalex.org/W2037396600","https://openalex.org/W2042661054","https://openalex.org/W2043396418","https://openalex.org/W2046588134","https://openalex.org/W2068562326","https://openalex.org/W2069667724","https://openalex.org/W2081798681","https://openalex.org/W2091288935","https://openalex.org/W2095738647","https://openalex.org/W2100900426","https://openalex.org/W2102800993","https://openalex.org/W2108982845","https://openalex.org/W2128272608","https://openalex.org/W2128721751","https://openalex.org/W2133513613","https://openalex.org/W2135415614","https://openalex.org/W2148374900","https://openalex.org/W2157900633","https://openalex.org/W2264140324","https://openalex.org/W2487834466","https://openalex.org/W2912479910","https://openalex.org/W3158908792"],"related_works":["https://openalex.org/W2093597205","https://openalex.org/W2389846579","https://openalex.org/W2489740420","https://openalex.org/W2392495745","https://openalex.org/W132250100","https://openalex.org/W4287166693","https://openalex.org/W2170202678","https://openalex.org/W3165276360","https://openalex.org/W2151177154","https://openalex.org/W2725657302"],"abstract_inverted_index":{"Online":[0],"news":[1,19,62,88],"tools":[2,26],"-":[3,10],"for":[4,53,60,95],"aggregation,":[5],"summarization":[6],"and":[7,107,115,137],"automatic":[8],"generation":[9],"are":[11,34],"an":[12],"area":[13],"of":[14,72,83,103,118],"fruitful":[15],"development":[16],"as":[17],"reading":[18],"online":[20],"becomes":[21],"increasingly":[22],"commonplace.":[23],"While":[24],"textual":[25],"have":[27],"dominated":[28],"these":[29],"developments,":[30],"annotated":[31,81],"information":[32],"visualizations":[33,63,82,106],"a":[35,74,87,91,101,116],"promising":[36],"way":[37],"to":[38,45,56,66],"complement":[39],"articles":[40],"based":[41],"on":[42],"their":[43],"ability":[44],"add":[46],"context.":[47],"But":[48],"the":[49,70,122,140],"manual":[50],"effort":[51],"required":[52],"professional":[54],"designers":[55],"create":[57],"thoughtful":[58],"annotations":[59,97],"contextualizing":[61],"is":[64,98],"difficult":[65],"scale.":[67],"We":[68],"describe":[69],"design":[71],"Contextifier,":[73],"novel":[75],"system":[76,128],"that":[77,131],"automatically":[78],"produces":[79],"custom,":[80],"stock":[84],"behavior":[85],"given":[86],"article":[89],"about":[90],"company.":[92],"Contextifier's":[93],"algorithms":[94],"choosing":[96],"informed":[99],"by":[100],"study":[102],"professionally":[104],"created":[105],"takes":[108],"into":[109],"account":[110],"visual":[111],"salience,":[112],"contextual":[113],"relevance,":[114],"detection":[117],"key":[119],"events":[120],"in":[121],"company's":[123],"history.":[124],"In":[125],"evaluating":[126],"our":[127],"we":[129],"find":[130],"Contextifier":[132],"better":[133],"balances":[134],"graphical":[135],"salience":[136],"relevance":[138],"than":[139],"baseline.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2016-06-24T00:00:00"}