{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T20:34:50Z","timestamp":1786394090885,"version":"build-2736575974"},"reference-count":0,"publisher":"AI Access Foundation","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["jair"],"abstract":"<jats:p>Voting in multi-issue domains allows for compromise outcomes that satisfy all voters to some extent. Such fairness considerations, however, open the possibility of a special form of manipulation: free-riding. By untruthfully opposing a popular opinion in one issue, voters can receive increased consideration in other issues. We study under which conditions this is possible and show that even weak fairness considerations enable free-riding. Additionally, we study free-riding from a computational and experimental point of view. Our results show that free-riding in multi-issue domains is often possible, but comes at a non-negligible individual risk for voters. Thus, the allure of free-riding is smaller than one could intuitively assume.<\/jats:p>","DOI":"10.1613\/jair.1.19527","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T20:22:06Z","timestamp":1785356526000},"source":"Crossref","is-referenced-by-count":0,"title":["Free-Riding in Multi-Issue Decisions"],"prefix":"10.1613","volume":"86","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2170-0770","authenticated-orcid":false,"given":"Martin","family":"Lackner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3288-7462","authenticated-orcid":false,"given":"Jan","family":"Maly","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4241-8299","authenticated-orcid":false,"given":"Oliviero","family":"Nardi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"16860","published-online":{"date-parts":[[2026,7,29]]},"container-title":["Journal of Artificial Intelligence Research"],"original-title":[],"link":[{"URL":"https:\/\/www.jair.org\/index.php\/jair\/article\/download\/19527\/27342","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.jair.org\/index.php\/jair\/article\/download\/19527\/27342","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T20:23:59Z","timestamp":1786393439000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jair.org\/index.php\/jair\/article\/view\/19527"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,29]]},"references-count":0,"URL":"https:\/\/doi.org\/10.1613\/jair.1.19527","relation":{},"ISSN":["1076-9757"],"issn-type":[{"value":"1076-9757","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,29]]}}}