{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZZINU36UGKV37BOV4QRMJXNYTU","short_pith_number":"pith:ZZINU36U","schema_version":"1.0","canonical_sha256":"ce50da6fd432abbf85d5e422c4ddb89d1f4b5e6117d8951bc758b55207ede5ca","source":{"kind":"arxiv","id":"2509.11139","version":1},"attestation_state":"computed","paper":{"title":"Understanding the Information Cocoon: A Multidimensional Assessment and Analysis of News Recommendation Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jitao Sang, Xiaowen Huang, Xin Wang","submitted_at":"2025-09-14T07:17:26Z","abstract_excerpt":"Personalized news recommendation systems inadvertently create information cocoons--homogeneous information bubbles that reinforce user biases and amplify societal polarization. To address the lack of comprehensive assessment frameworks in prior research, we propose a multidimensional analysis that evaluates cocoons through dual perspectives: (1) Individual homogenization via topic diversity (including the number of topic categories and category information entropy) and click repetition; (2) Group polarization via network density and community openness. Through multi-round experiments on real-w"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2509.11139","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-09-14T07:17:26Z","cross_cats_sorted":[],"title_canon_sha256":"f7cd1951c9d692a1902a7b69b8a007cc6eb2980ec967861a67576c0e2f786668","abstract_canon_sha256":"0b6836cd426433a739f8c8fb228c9e13082d8c3dc42ff80a522bc38ce57c5a54"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:11:34.111588Z","signature_b64":"WMkl0RZRiS+Dn5WmHpIWtFkHuNePR125jtwZrii+o27HUjR5/UM3lH1Tdd+5rAMTe718hn875rffEQOtBuf7Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce50da6fd432abbf85d5e422c4ddb89d1f4b5e6117d8951bc758b55207ede5ca","last_reissued_at":"2026-07-05T12:11:34.111111Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:11:34.111111Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Understanding the Information Cocoon: A Multidimensional Assessment and Analysis of News Recommendation Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jitao Sang, Xiaowen Huang, Xin Wang","submitted_at":"2025-09-14T07:17:26Z","abstract_excerpt":"Personalized news recommendation systems inadvertently create information cocoons--homogeneous information bubbles that reinforce user biases and amplify societal polarization. To address the lack of comprehensive assessment frameworks in prior research, we propose a multidimensional analysis that evaluates cocoons through dual perspectives: (1) Individual homogenization via topic diversity (including the number of topic categories and category information entropy) and click repetition; (2) Group polarization via network density and community openness. Through multi-round experiments on real-w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.11139","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2509.11139/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2509.11139","created_at":"2026-07-05T12:11:34.111163+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.11139v1","created_at":"2026-07-05T12:11:34.111163+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.11139","created_at":"2026-07-05T12:11:34.111163+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZZINU36UGKV3","created_at":"2026-07-05T12:11:34.111163+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZZINU36UGKV37BOV","created_at":"2026-07-05T12:11:34.111163+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZZINU36U","created_at":"2026-07-05T12:11:34.111163+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.17707","citing_title":"Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators","ref_index":41,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU","json":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU.json","graph_json":"https://pith.science/api/pith-number/ZZINU36UGKV37BOV4QRMJXNYTU/graph.json","events_json":"https://pith.science/api/pith-number/ZZINU36UGKV37BOV4QRMJXNYTU/events.json","paper":"https://pith.science/paper/ZZINU36U"},"agent_actions":{"view_html":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU","download_json":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU.json","view_paper":"https://pith.science/paper/ZZINU36U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.11139&json=true","fetch_graph":"https://pith.science/api/pith-number/ZZINU36UGKV37BOV4QRMJXNYTU/graph.json","fetch_events":"https://pith.science/api/pith-number/ZZINU36UGKV37BOV4QRMJXNYTU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU/action/storage_attestation","attest_author":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU/action/author_attestation","sign_citation":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU/action/citation_signature","submit_replication":"https://pith.science/pith/ZZINU36UGKV37BOV4QRMJXNYTU/action/replication_record"}},"created_at":"2026-07-05T12:11:34.111163+00:00","updated_at":"2026-07-05T12:11:34.111163+00:00"}