{"id":"https://openalex.org/W1988987156","doi":"https://doi.org/10.1145/1458527.1458541","title":"Using a sentiment map for visualizing credibility of news sites on the web","display_name":"Using a sentiment map for visualizing credibility of news sites on the web","publication_year":2008,"publication_date":"2008-10-30","ids":{"openalex":"https://openalex.org/W1988987156","doi":"https://doi.org/10.1145/1458527.1458541","mag":"1988987156"},"language":"en","primary_location":{"id":"doi:10.1145/1458527.1458541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458527.1458541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Information credibility on the web","raw_type":"proceedings-article"},"type":"conference-paper","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/A5055074100","display_name":"Yukiko Kawai","orcid":"https://orcid.org/0000-0003-2627-6673"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukiko Kawai","raw_affiliation_strings":["Kyoto Sangyo University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044818016","display_name":"Yusuke Fujita","orcid":"https://orcid.org/0000-0002-6523-8146"},"institutions":[{"id":"https://openalex.org/I168356945","display_name":"Kyoto Sangyo University","ror":"https://ror.org/05t70xh16","country_code":"JP","type":"education","lineage":["https://openalex.org/I168356945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Fujita","raw_affiliation_strings":["Kyoto Sangyo University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto Sangyo University, Kyoto, Japan","institution_ids":["https://openalex.org/I168356945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010661198","display_name":"Tadahiko Kumamoto","orcid":"https://orcid.org/0000-0002-1429-5909"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiko Kumamoto","raw_affiliation_strings":["Chiba Institute of Technology, Narashino, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chiba Institute of Technology, Narashino, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079453254","display_name":"Jianwei Jianwei","orcid":null},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianwei Jianwei","raw_affiliation_strings":["Saitama University, Saitama, Japan","Saitama University, Saitama, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saitama University, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Saitama University, Saitama, JAPAN","institution_ids":["https://openalex.org/I72253084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101943741","display_name":"Katsumi Tanaka","orcid":"https://orcid.org/0000-0003-1731-931X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsumi Tanaka","raw_affiliation_strings":["Kyoto University, Kyoto, Japan","Kyoto University, Kyoto, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.9945999979972839,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.8368166089057922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660101652145386},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6415484547615051},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5376898050308228},{"id":"https://openalex.org/keywords/web-site","display_name":"Web site","score":0.48162978887557983},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.424930214881897},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.3485678434371948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2073676884174347},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07235094904899597}],"concepts":[{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.8368166089057922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660101652145386},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6415484547615051},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5376898050308228},{"id":"https://openalex.org/C2984519610","wikidata":"https://www.wikidata.org/wiki/Q35127","display_name":"Web site","level":3,"score":0.48162978887557983},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.424930214881897},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3485678434371948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2073676884174347},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07235094904899597},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1458527.1458541","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1458527.1458541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM workshop on Information credibility on the web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W154590485","https://openalex.org/W202113353","https://openalex.org/W1497169546","https://openalex.org/W1566513354","https://openalex.org/W1945295591","https://openalex.org/W2155328222","https://openalex.org/W2793363407","https://openalex.org/W3146306708"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W2370187191","https://openalex.org/W1990162851","https://openalex.org/W2369854048","https://openalex.org/W2374291020","https://openalex.org/W2355907197","https://openalex.org/W3171042291","https://openalex.org/W2390961115","https://openalex.org/W2388138913","https://openalex.org/W1849476442"],"abstract_inverted_index":{"We":[0,206],"have":[1],"developed":[2],"a":[3,73,128,179,210,231,242],"visualizing":[4],"news":[5,13,27,36,46,67,82,111,141,150,161,172,189],"system":[6,39,138,153,176,252],"that":[7,69,119,143],"shows":[8],"the":[9,12,16,23,26,32,50,66,116,140,145,156,160,183,195,199,208],"trend":[10,24,51,56],"of":[11,25,34,44,52,57,65,81,110,159],"site":[14,191],"on":[15,198],"Web":[17,53,58,77,173,190,228],"for":[18],"credibility.":[19],"If":[20,127],"users":[21,29,220],"know":[22],"site,":[28],"can":[30],"evaluate":[31],"credibility":[33],"each":[35,45,76,148,168,171,188],"topic.":[37,233],"This":[38],"detects":[40],"and":[41,103,163,192,222,245],"uses":[42],"sentiments":[43,64,80],"article":[47],"to":[48,240],"resolve":[49],"site.":[54,78,174],"The":[55,79,107,175,216],"sites":[59,229],"are":[60,84,113],"extracted":[61],"as":[62],"average":[63,165,185],"articles":[68,83,112,142,162],"were":[70],"written":[71],"concerning":[72,230],"topic":[74,134],"in":[75,90,167,187,213],"represented":[85],"by":[86,122],"four":[87,91,184],"values":[88,109,158,186],"calculated":[89,114],"sentiment":[92,108,117,157,169,211,217,243],"scales:":[93],"\"Bright":[94],"\u21d4":[95,98,101,105],"Dark\",":[96],"\"Acceptance":[97],"Rejection\",":[99],"\"Relaxation":[100],"Strain\",":[102],"\"Anger":[104],"Fear\".":[106],"using":[115,202],"dictionary":[118],"was":[120],"constructed":[121],"our":[123,136,250],"previously":[124],"proposed":[125,137,251],"method.":[126],"user":[129],"enters":[130],"one":[131],"or":[132],"more":[133],"keywords,":[135],"extracts":[139],"include":[144],"keywords":[146],"from":[147,170,182],"predetermined":[149],"sites.":[151],"Our":[152],"also":[154],"calculates":[155],"their":[164],"value":[166],"then":[177],"generates":[178],"bar":[180,196],"graph":[181],"attaches":[193],"all":[194],"graphs":[197],"world":[200],"map":[201,209,212,218,244],"Google":[203],"Map":[204],"API.":[205],"call":[207],"this":[214,235],"paper.":[215],"helps":[219],"intuitively":[221],"efficiently":[223],"understand":[224],"trends":[225],"among":[226],"multiple":[227],"given":[232],"In":[234],"paper,":[236],"we":[237,248],"describe":[238],"how":[239,247],"create":[241],"explain":[246],"evaluated":[249],"through":[253],"several":[254],"experiments.":[255]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
