{"id":"https://openalex.org/W7130544004","doi":"https://doi.org/10.48550/arxiv.2602.16315","title":"The Diversity Paradox revisited: Systemic Effects of Feedback Loops in Recommender Systems","display_name":"The Diversity Paradox revisited: Systemic Effects of Feedback Loops in Recommender Systems","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130544004","doi":"https://doi.org/10.48550/arxiv.2602.16315"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16315","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126411874","display_name":"Gabriele Barlacchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barlacchi, Gabriele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126377447","display_name":"Margherita Lalli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lalli, Margherita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126434587","display_name":"Emanuele Ferragina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ferragina, Emanuele","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Giannotti, Fosca","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giannotti, Fosca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044898565","display_name":"Dino Pedreschi","orcid":"https://orcid.org/0000-0003-4801-3225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedreschi, Dino","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068819495","display_name":"Luca Pappalardo","orcid":"https://orcid.org/0000-0002-1547-6007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pappalardo, Luca","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.2222999930381775,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.2222999930381775,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.12860000133514404,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.06549999862909317,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8873999714851379},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7570000290870667},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6668000221252441},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.6402999758720398},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.6166999936103821},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.436599999666214}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8873999714851379},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7570000290870667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7465000152587891},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6668000221252441},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.6402999758720398},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6166999936103821},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3375999927520752},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.33309999108314514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33090001344680786},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C100339178","wikidata":"https://www.wikidata.org/wiki/Q2548752","display_name":"Collective behavior","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C93586867","wikidata":"https://www.wikidata.org/wiki/Q62527","display_name":"Negative feedback","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2549999952316284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25360000133514404}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16315","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16315","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16315","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.16315","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"shape":[2],"individual":[3,88,112,127],"choices":[4],"through":[5],"feedback":[6,73],"loops":[7,23],"in":[8,27,33,95,111,115],"which":[9],"user":[10],"behavior":[11],"and":[12,52,63,67,97,124,144],"algorithmic":[13],"recommendations":[14],"coevolve":[15],"over":[16],"time.":[17],"The":[18],"systemic":[19,69],"effects":[20,70],"of":[21,50,71,87],"these":[22],"remain":[24],"poorly":[25],"understood,":[26],"part":[28],"due":[29],"to":[30,83,139],"unrealistic":[31],"assumptions":[32],"existing":[34],"simulation":[35],"studies.":[36],"We":[37,56,75],"propose":[38],"a":[39,84],"feedback-loop":[40,148],"model":[41],"that":[42,77,108],"captures":[43],"implicit":[44],"feedback,":[45],"periodic":[46],"retraining,":[47],"probabilistic":[48],"adoption":[49,80,121],"recommendations,":[51],"heterogeneous":[53],"recommender":[54,79,152],"systems.":[55,153],"apply":[57],"the":[58,72,137],"framework":[59],"on":[60],"online":[61],"retail":[62],"music":[64],"streaming":[65],"data":[66],"analyze":[68],"loop.":[74],"find":[76],"increasing":[78],"may":[81],"lead":[82],"progressive":[85],"diversification":[86],"consumption,":[89],"while":[90],"collective":[91],"demand":[92],"is":[93,122],"redistributed":[94],"model-":[96],"domain-dependent":[98],"ways,":[99],"often":[100],"amplifying":[101],"popularity":[102],"concentration.":[103],"Temporal":[104],"analyses":[105],"further":[106],"reveal":[107],"apparent":[109],"increases":[110],"diversity":[113,128],"observed":[114],"static":[116,142],"evaluations":[117,143],"are":[118],"illusory:":[119],"when":[120,150],"fixed":[123],"time":[125],"unfolds,":[126],"consistently":[129],"decreases":[130],"across":[131],"all":[132],"models.":[133],"Our":[134],"results":[135],"highlight":[136],"need":[138],"move":[140],"beyond":[141],"explicitly":[145],"account":[146],"for":[147],"dynamics":[149],"designing":[151]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-20T00:00:00"}
