{"id":"https://openalex.org/W1990809386","doi":"https://doi.org/10.1145/2556288.2557228","title":"NewsViews","display_name":"NewsViews","publication_year":2014,"publication_date":"2014-04-26","ids":{"openalex":"https://openalex.org/W1990809386","doi":"https://doi.org/10.1145/2556288.2557228","mag":"1990809386"},"language":"en","primary_location":{"id":"doi:10.1145/2556288.2557228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556288.2557228","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/A5101935395","display_name":"Tong Gao","orcid":"https://orcid.org/0009-0006-6706-6284"},"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":"Tong Gao","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","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":false,"raw_author_name":"Jessica R. Hullman","raw_affiliation_strings":["University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","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, MI, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005448339","display_name":"Brent Hecht","orcid":"https://orcid.org/0000-0002-7955-0202"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brent Hecht","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA",", University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":", University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079222963","display_name":"Nicholas Diakopoulos","orcid":"https://orcid.org/0000-0001-5005-6123"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Diakopoulos","raw_affiliation_strings":["Columbia University, New York City, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York City, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101935395"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":4.6962,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.95927819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3005","last_page":"3014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"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":0.9995999932289124,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8114145398139954},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6670703887939453},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6293693780899048},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6266131401062012},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6229692697525024},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6169356107711792},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5909366607666016},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5610297322273254},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.4863725006580353},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48288631439208984},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4503173828125},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.44005611538887024},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4154701232910156},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3610342741012573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22832715511322021},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18048056960105896},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09994494915008545},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07800433039665222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114145398139954},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6670703887939453},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6293693780899048},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6266131401062012},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6229692697525024},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6169356107711792},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5909366607666016},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5610297322273254},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.4863725006580353},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48288631439208984},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4503173828125},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.44005611538887024},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4154701232910156},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3610342741012573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22832715511322021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18048056960105896},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09994494915008545},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07800433039665222},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2556288.2557228","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2556288.2557228","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W330700155","https://openalex.org/W595611337","https://openalex.org/W1547533132","https://openalex.org/W1566936261","https://openalex.org/W1956885672","https://openalex.org/W1977400967","https://openalex.org/W1994850235","https://openalex.org/W1996894838","https://openalex.org/W2037396600","https://openalex.org/W2042661054","https://openalex.org/W2048298381","https://openalex.org/W2051112590","https://openalex.org/W2052637448","https://openalex.org/W2068562326","https://openalex.org/W2070328828","https://openalex.org/W2081798681","https://openalex.org/W2091288935","https://openalex.org/W2108223890","https://openalex.org/W2108982845","https://openalex.org/W2109104042","https://openalex.org/W2138199375","https://openalex.org/W2151048449","https://openalex.org/W2157900633","https://openalex.org/W2295709353","https://openalex.org/W2803437449","https://openalex.org/W3150085237","https://openalex.org/W3158986179","https://openalex.org/W3214922173","https://openalex.org/W4206675885","https://openalex.org/W4404079674","https://openalex.org/W6840790252"],"related_works":["https://openalex.org/W2515424576","https://openalex.org/W4288754496","https://openalex.org/W1574055964","https://openalex.org/W2323909273","https://openalex.org/W2104193466","https://openalex.org/W3162943795","https://openalex.org/W4283656801","https://openalex.org/W2134678736","https://openalex.org/W2808883886","https://openalex.org/W2398102735"],"abstract_inverted_index":{"Interactive":[0],"visualizations":[1],"add":[2],"rich,":[3],"data-based":[4],"context":[5],"to":[6,58,69,94,127],"online":[7],"news":[8,37,61],"articles.":[9],"Geographic":[10],"maps":[11,44,50],"are":[12,29],"currently":[13],"the":[14,119],"most":[15],"prevalent":[16],"form":[17],"of":[18,24,86,132],"these":[19],"visualizations.":[20],"Unfortunately,":[21],"designers":[22],"capable":[23],"producing":[25],"high-quality,":[26],"customized":[27],"geovisualizations":[28],"scarce.":[30],"We":[31],"present":[32],"NewsViews,":[33],"a":[34,59],"novel":[35],"automated":[36],"visualization":[38],"system":[39,65],"that":[40],"generates":[41],"interactive,":[42],"annotated":[43],"without":[45],"requiring":[46],"professional":[47],"designers.":[48],"NewsViews'":[49],"support":[51],"trend":[52],"identification":[53],"and":[54,73,89,96,107,116,134],"data":[55],"comparisons":[56],"relevant":[57],"given":[60],"article.":[62],"The":[63],"NewsViews":[64],"leverages":[66],"text":[67],"mining":[68],"identify":[70,95],"key":[71,109,120],"concepts":[72],"locations":[74],"discussed":[75],"in":[76,111],"articles":[77],"(as":[78],"well":[79],"as":[80],"potential":[81],"annotations),":[82],"an":[83],"extensive":[84],"repository":[85],"'found'":[87],"databases,":[88],"techniques":[90],"adapted":[91],"from":[92],"cartography":[93],"create":[97],"visually":[98],"'interesting'":[99],"thematic":[100],"maps.":[101],"In":[102],"this":[103],"work,":[104],"we":[105],"develop":[106],"evaluate":[108],"criteria":[110],"automatic,":[112],"annotated,":[113],"map":[114],"generation":[115],"experimentally":[117],"validate":[118],"features":[121],"for":[122],"successful":[123],"representations":[124],"(e.g.,":[125],"relevance":[126],"context,":[128],"variable":[129],"selection,":[130],"'interestingness'":[131],"representation":[133],"annotation":[135],"quality).":[136]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2016-06-24T00:00:00"}
