{"id":"https://openalex.org/W4306316970","doi":"https://doi.org/10.1145/3511808.3557253","title":"Cascade-based Echo Chamber Detection","display_name":"Cascade-based Echo Chamber Detection","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306316970","doi":"https://doi.org/10.1145/3511808.3557253"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557253","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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/A5052504556","display_name":"Marco Minici","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Minici","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035910541","display_name":"Federico Cinus","orcid":"https://orcid.org/0009-0007-5910-7354"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Cinus","raw_affiliation_strings":["Sapienza University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002012048","display_name":"Corrado Monti","orcid":"https://orcid.org/0000-0001-6846-5718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Corrado Monti","raw_affiliation_strings":["CENTAI, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"CENTAI, Turin, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022272025","display_name":"Francesco Bonchi","orcid":"https://orcid.org/0000-0001-9464-8315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francesco Bonchi","raw_affiliation_strings":["CENTAI, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"CENTAI, Turin, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004372595","display_name":"Giuseppe Manco","orcid":"https://orcid.org/0000-0001-9672-3833"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Manco","raw_affiliation_strings":["ICAR-CNR, Rende, Italy"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Rende, Italy","institution_ids":["https://openalex.org/I3005160176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052504556"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":4.6505,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95497186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1511","last_page":"1520"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11804","display_name":"Quantum many-body systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.7895556688308716},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6608699560165405},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5635897517204285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633690357208252},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5183930993080139},{"id":"https://openalex.org/keywords/scrutiny","display_name":"Scrutiny","score":0.5044130086898804},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.501814603805542},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4684132933616638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40279215574264526},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3493250608444214},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10544589161872864},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09662160277366638}],"concepts":[{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.7895556688308716},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6608699560165405},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5635897517204285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633690357208252},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5183930993080139},{"id":"https://openalex.org/C2776050585","wikidata":"https://www.wikidata.org/wiki/Q7439360","display_name":"Scrutiny","level":2,"score":0.5044130086898804},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.501814603805542},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4684132933616638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40279215574264526},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3493250608444214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10544589161872864},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09662160277366638},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3511808.3557253","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557253","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1275219","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1275219","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.uniroma1.it:11573/1671318","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1671318","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5542951831","display_name":null,"funder_award_id":"952026","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1607079589","https://openalex.org/W2037855648","https://openalex.org/W2117289809","https://openalex.org/W2137809006","https://openalex.org/W2296752489","https://openalex.org/W2593259672","https://openalex.org/W2593390416","https://openalex.org/W2785078427","https://openalex.org/W2792053130","https://openalex.org/W2792105640","https://openalex.org/W2804000423","https://openalex.org/W2909429265","https://openalex.org/W2934062797","https://openalex.org/W2954842756","https://openalex.org/W2962756421","https://openalex.org/W2963184629","https://openalex.org/W2974926830","https://openalex.org/W2984259019","https://openalex.org/W2999926504","https://openalex.org/W3012967881","https://openalex.org/W3033852295","https://openalex.org/W3099451295","https://openalex.org/W3102208606","https://openalex.org/W3115486700","https://openalex.org/W3120855309","https://openalex.org/W3127024247","https://openalex.org/W3129177014","https://openalex.org/W3133423348","https://openalex.org/W3168877225","https://openalex.org/W3182538497","https://openalex.org/W3193930379","https://openalex.org/W3202760958","https://openalex.org/W3216636428","https://openalex.org/W4226177545","https://openalex.org/W4226474153"],"related_works":["https://openalex.org/W2485908278","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"Despite":[0],"echo":[1,65,92,183],"chambers":[2,66,93],"in":[3,181,194],"social":[4,37,40,125,161],"media":[5,38],"have":[6],"been":[7],"under":[8],"considerable":[9],"scrutiny,":[10],"general":[11],"models":[12],"for":[13],"their":[14,147],"detection":[15,201],"and":[16,43,59,82,127,152,162,202],"analysis":[17],"are":[18,67,72],"missing.":[19],"In":[20],"this":[21,27,89],"work,":[22],"we":[23,106,186],"aim":[24],"to":[25,74,84,140],"fill":[26],"gap":[28],"by":[29,53,60],"proposing":[30],"a":[31,47,54,98,108],"probabilistic":[32],"generative":[33],"model":[34,104,190],"that":[35,71,96,118,135],"explains":[36],"footprints-i.e.,":[39],"network":[41],"structure":[42],"propagations":[44],"of":[45,49,56,76,86,112,123,149,178,204],"information-through":[46],"set":[48],"latent":[50,144],"communities,":[51],"characterized":[52],"degree":[55,148],"echo-chamber":[57,150],"behavior":[58,151],"an":[61],"opinion":[62,153],"polarity.":[63,154],"Specically,":[64],"modeled":[68],"as":[69,166,199],"communities":[70,95,145],"permeable":[73],"pieces":[75],"information":[77,85,128],"with":[78,146],"similar":[79],"ideological":[80,100],"polarity,":[81],"impermeable":[83],"opposed":[87],"leaning:":[88],"allows":[90],"discriminating":[91],"from":[94],"lack":[97],"clear":[99],"alignment.To":[101],"learn":[102],"the":[103,113,120,167,171,176],"parameters":[105],"propose":[107],"scalable,":[109],"stochastic":[110],"adaptation":[111],"Generalized":[114],"Expectation":[115],"Maximization":[116],"algorithm,":[117],"optimizes":[119],"joint":[121],"likelihood":[122],"observing":[124],"connections":[126],"propagation.":[129],"Experiments":[130,155],"on":[131,156],"synthetic":[132],"data":[133,158],"show":[134,187],"our":[136,179,189],"algorithm":[137],"is":[138],"able":[139],"correctly":[141],"reconstruct":[142],"ground-truth":[143],"real-world":[157],"about":[159],"polarized":[160],"political":[163],"debates,":[164],"such":[165,198],"Brexit":[168],"referendum":[169],"or":[170],"COVID-19":[172],"vaccine":[173],"campaign,":[174],"confirm":[175],"effectiveness":[177],"proposal":[180],"detecting":[182],"chambers.":[184],"Finally,":[185],"how":[188],"can":[191],"improve":[192],"accuracy":[193],"auxiliary":[195],"predictive":[196],"tasks,":[197],"stance":[200],"prediction":[203],"future":[205],"propagations.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}