{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ICNZMWEGM3J6K32HRUABNCPT5M","short_pith_number":"pith:ICNZMWEG","schema_version":"1.0","canonical_sha256":"409b96588666d3e56f478d001689f3eb0842cab42de7a2e59fd3be319fe1263c","source":{"kind":"arxiv","id":"2504.09376","version":1},"attestation_state":"computed","paper":{"title":"Cross-Partisan Interactions on Twitter","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Guillermo Suarez-Tangil, Jose Such, Tu\\u{g}rulcan Elmas, Vahid Ghafouri, Yusuf M\\\"ucahit \\c{C}etinkaya","submitted_at":"2025-04-12T23:50:59Z","abstract_excerpt":"Many social media studies argue that social media creates echo chambers where some users only interact with peers of the same political orientation. However, recent studies suggest that a substantial amount of Cross-Partisan Interactions (CPIs) do exist - even within echo chambers, but they may be toxic. There is no consensus about how such interactions occur and when they lead to healthy or toxic dialogue. In this paper, we study a comprehensive Twitter dataset that consists of 3 million tweets from 2020 related to the U.S. context to understand the dynamics behind CPIs. We investigate factor"},"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":"2504.09376","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-04-12T23:50:59Z","cross_cats_sorted":[],"title_canon_sha256":"0c1aaaeb17f749ed3ade8a073bc1ea15e61c53b0a23a93acac14aa9fa43d3e8f","abstract_canon_sha256":"7f50d88a15f8b9de9db16eb018c5b01e45ae0596bfa7ba6ad4eb9a399fe8f3c0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:36.345491Z","signature_b64":"WzgtstgAg9fk1Atye6oUB/VCohH8xUkaTBfiCf4Zq6zVOdYPfhu6535fZZIkXYvyKFXMUfAH4At/JTR77TqhAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"409b96588666d3e56f478d001689f3eb0842cab42de7a2e59fd3be319fe1263c","last_reissued_at":"2026-07-05T10:48:36.344926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:36.344926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cross-Partisan Interactions on Twitter","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Guillermo Suarez-Tangil, Jose Such, Tu\\u{g}rulcan Elmas, Vahid Ghafouri, Yusuf M\\\"ucahit \\c{C}etinkaya","submitted_at":"2025-04-12T23:50:59Z","abstract_excerpt":"Many social media studies argue that social media creates echo chambers where some users only interact with peers of the same political orientation. However, recent studies suggest that a substantial amount of Cross-Partisan Interactions (CPIs) do exist - even within echo chambers, but they may be toxic. There is no consensus about how such interactions occur and when they lead to healthy or toxic dialogue. In this paper, we study a comprehensive Twitter dataset that consists of 3 million tweets from 2020 related to the U.S. context to understand the dynamics behind CPIs. We investigate factor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09376","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/2504.09376/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":"2504.09376","created_at":"2026-07-05T10:48:36.344998+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.09376v1","created_at":"2026-07-05T10:48:36.344998+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09376","created_at":"2026-07-05T10:48:36.344998+00:00"},{"alias_kind":"pith_short_12","alias_value":"ICNZMWEGM3J6","created_at":"2026-07-05T10:48:36.344998+00:00"},{"alias_kind":"pith_short_16","alias_value":"ICNZMWEGM3J6K32H","created_at":"2026-07-05T10:48:36.344998+00:00"},{"alias_kind":"pith_short_8","alias_value":"ICNZMWEG","created_at":"2026-07-05T10:48:36.344998+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.03474","citing_title":"Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets","ref_index":44,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M","json":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M.json","graph_json":"https://pith.science/api/pith-number/ICNZMWEGM3J6K32HRUABNCPT5M/graph.json","events_json":"https://pith.science/api/pith-number/ICNZMWEGM3J6K32HRUABNCPT5M/events.json","paper":"https://pith.science/paper/ICNZMWEG"},"agent_actions":{"view_html":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M","download_json":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M.json","view_paper":"https://pith.science/paper/ICNZMWEG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.09376&json=true","fetch_graph":"https://pith.science/api/pith-number/ICNZMWEGM3J6K32HRUABNCPT5M/graph.json","fetch_events":"https://pith.science/api/pith-number/ICNZMWEGM3J6K32HRUABNCPT5M/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M/action/storage_attestation","attest_author":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M/action/author_attestation","sign_citation":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M/action/citation_signature","submit_replication":"https://pith.science/pith/ICNZMWEGM3J6K32HRUABNCPT5M/action/replication_record"}},"created_at":"2026-07-05T10:48:36.344998+00:00","updated_at":"2026-07-05T10:48:36.344998+00:00"}