{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T10:54:19Z","timestamp":1790679259861,"version":"4.1.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Controversial issues often split the population into groups with opposing views. When such issues emerge on social media, we often observe the creation of \"echo chambers,\" i.e., situations where like-minded people reinforce each other\u2019s opinion, but do not get exposed to the views of the opposing side. In this paper we study algorithmic techniques for bridging these chambers, and thus reduce controversy. Specifically, we represent discussions as graphs, and cast our objective as an edge-recommendation problem. The goal of the recommendation is to reduce the controversy score of the graph, measured by a recently-developed metric based on random walks. At the same time, we take into account the acceptance probability of the recommended edges, which represent the probability that the recommended edges materialize in the graph.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/731","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"5249-5253","source":"Crossref","is-referenced-by-count":12,"title":["Reducing Controversy by Connecting Opposing Views"],"prefix":"10.24963","author":[{"given":"Kiran","family":"Garimella","sequence":"first","affiliation":[{"name":"EPFL, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gianmarco","family":"De Francisci Morales","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aristides","family":"Gionis","sequence":"additional","affiliation":[{"name":"Aalto University, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Mathioudakis","sequence":"additional","affiliation":[{"name":"University of Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:55:36Z","timestamp":1530770136000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/731"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/731","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}