{"id":"https://openalex.org/W2965731074","doi":"https://doi.org/10.24963/ijcai.2019/11","title":"How Hard Is the Manipulative Design of Scoring Systems?","display_name":"How Hard Is the Manipulative Design of Scoring Systems?","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965731074","doi":"https://doi.org/10.24963/ijcai.2019/11","mag":"2965731074"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/11","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/11","pdf_url":"https://www.ijcai.org/proceedings/2019/0011.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0011.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070033507","display_name":"Dorothea Baumeister","orcid":"https://orcid.org/0000-0001-6325-2879"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dorothea Baumeister","raw_affiliation_strings":["Institut f\u00fcr Informatik, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf","institution_ids":["https://openalex.org/I44260953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002548164","display_name":"Tobias Hogrebe","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Hogrebe","raw_affiliation_strings":["Institut f\u00fcr Informatik, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Informatik, Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070033507"],"corresponding_institution_ids":["https://openalex.org/I44260953"],"apc_list":null,"apc_paid":null,"fwci":1.6925,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90156829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/robustness","display_name":"Robustness (evolution)","score":0.7877342700958252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566455364227295},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6324601769447327},{"id":"https://openalex.org/keywords/scoring-system","display_name":"Scoring system","score":0.5409589409828186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4801025688648224},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4560243785381317},{"id":"https://openalex.org/keywords/scoring-rule","display_name":"Scoring rule","score":0.440935879945755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4344484210014343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3480575978755951},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1923932135105133},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.11082974076271057}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7877342700958252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566455364227295},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6324601769447327},{"id":"https://openalex.org/C2984538763","wikidata":"https://www.wikidata.org/wiki/Q2260590","display_name":"Scoring system","level":2,"score":0.5409589409828186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4801025688648224},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4560243785381317},{"id":"https://openalex.org/C63002673","wikidata":"https://www.wikidata.org/wiki/Q2260590","display_name":"Scoring rule","level":2,"score":0.440935879945755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4344484210014343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3480575978755951},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1923932135105133},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.11082974076271057},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/11","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/11","pdf_url":"https://www.ijcai.org/proceedings/2019/0011.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/11","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/11","pdf_url":"https://www.ijcai.org/proceedings/2019/0011.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G5180243030","display_name":null,"funder_award_id":"BA6270/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965731074.pdf","grobid_xml":"https://content.openalex.org/works/W2965731074.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W586839010","https://openalex.org/W1527197079","https://openalex.org/W1542680652","https://openalex.org/W1570425181","https://openalex.org/W1690400894","https://openalex.org/W1981053712","https://openalex.org/W2003296459","https://openalex.org/W2100229481","https://openalex.org/W2114616381","https://openalex.org/W2152389135","https://openalex.org/W2240284778","https://openalex.org/W2541215332","https://openalex.org/W2611147814","https://openalex.org/W2726495317","https://openalex.org/W2798435870","https://openalex.org/W2913688336","https://openalex.org/W2963352083","https://openalex.org/W4213009134","https://openalex.org/W4292230561","https://openalex.org/W4323928907"],"related_works":["https://openalex.org/W2135824491","https://openalex.org/W2909748172","https://openalex.org/W4293853118","https://openalex.org/W2294918614","https://openalex.org/W2327450076","https://openalex.org/W2946526331","https://openalex.org/W1993558273","https://openalex.org/W2380829360","https://openalex.org/W2766550387","https://openalex.org/W270825178"],"abstract_inverted_index":{"In":[0,77],"an":[1],"election,":[2],"votes":[3],"are":[4,101],"often":[5],"given":[6],"as":[7,44,128],"ordered":[8],"lists":[9],"over":[10],"candidates.":[11],"A":[12],"common":[13],"way":[14],"of":[15,49,55,72,84,131,133],"determining":[16],"the":[17,53,56,65,69,104,134],"winner":[18],"is":[19,29,37],"then":[20],"to":[21,40,120],"apply":[22],"some":[23,97],"scoring":[24,106],"system,":[25],"where":[26,103],"each":[27],"position":[28],"associated":[30],"with":[31],"a":[32,61,81,121,129],"specific":[33],"score.":[34],"This":[35,124],"setting":[36],"also":[38],"transferable":[39],"other":[41,113],"situations,":[42],"such":[43,50],"sports":[45],"tournaments.":[46],"The":[47],"design":[48],"systems,":[51],"i.e.,":[52],"choice":[54],"score":[57],"values,":[58],"may":[59,118,125],"have":[60],"crucial":[62],"influence":[63],"on":[64],"outcome.":[66],"We":[67],"study":[68,83],"computational":[70],"complexity":[71],"two":[73],"related":[74],"decision":[75],"problems.":[76],"addition,":[78],"we":[79],"provide":[80],"case":[82],"data":[85],"from":[86],"Formula":[87],"1":[88],"using":[89],"ILP":[90],"formulations.":[91],"Our":[92],"results":[93],"show":[94],"that":[95],"under":[96],"mild":[98],"conditions":[99],"there":[100],"cases":[102,114],"actual":[105],"system":[107],"has":[108],"no":[109],"influence,":[110],"whereas":[111],"in":[112],"very":[115],"small":[116],"changes":[117],"lead":[119],"different":[122],"winner.":[123],"be":[126],"seen":[127],"measure":[130],"robustness":[132],"winning":[135],"candidate.":[136]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
