{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:6P4SJF747AAFCRCQC6QBMJ3INX","short_pith_number":"pith:6P4SJF74","schema_version":"1.0","canonical_sha256":"f3f92497fcf80051445017a01627686de645a2da07bef72be93a9496c5a285ec","source":{"kind":"arxiv","id":"2311.01817","version":1},"attestation_state":"computed","paper":{"title":"Mitigating Framing Bias with Polarity Minimization Loss","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Nayeon Lee, Pascale Fung, Yejin Bang","submitted_at":"2023-11-03T09:50:23Z","abstract_excerpt":"Framing bias plays a significant role in exacerbating political polarization by distorting the perception of actual events. Media outlets with divergent political stances often use polarized language in their reporting of the same event. We propose a new loss function that encourages the model to minimize the polarity difference between the polarized input articles to reduce framing bias. Specifically, our loss is designed to jointly optimize the model to map polarity ends bidirectionally. Our experimental results demonstrate that incorporating the proposed polarity minimization loss leads to "},"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":"2311.01817","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-03T09:50:23Z","cross_cats_sorted":[],"title_canon_sha256":"06cfb4a698d70adbcf70372edf7d19b9340a1fa1f5f5138b1adcc52d6f7919c9","abstract_canon_sha256":"a58e1fd97dd0b0f7a7806042898b2ff93fe4c4ddc42172c649fd7711f69e0a0f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:45.610109Z","signature_b64":"ukNCs5/3yITcEw7JFFGdcQpwwDjrirxFrn6OXJds+98Ad5NOsafUHwRLDQuc4LiIsW7YXDANBAJKeC9SxNy2Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3f92497fcf80051445017a01627686de645a2da07bef72be93a9496c5a285ec","last_reissued_at":"2026-07-05T07:08:45.609636Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:45.609636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mitigating Framing Bias with Polarity Minimization Loss","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Nayeon Lee, Pascale Fung, Yejin Bang","submitted_at":"2023-11-03T09:50:23Z","abstract_excerpt":"Framing bias plays a significant role in exacerbating political polarization by distorting the perception of actual events. Media outlets with divergent political stances often use polarized language in their reporting of the same event. We propose a new loss function that encourages the model to minimize the polarity difference between the polarized input articles to reduce framing bias. Specifically, our loss is designed to jointly optimize the model to map polarity ends bidirectionally. Our experimental results demonstrate that incorporating the proposed polarity minimization loss leads to "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01817","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/2311.01817/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":"2311.01817","created_at":"2026-07-05T07:08:45.609696+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.01817v1","created_at":"2026-07-05T07:08:45.609696+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01817","created_at":"2026-07-05T07:08:45.609696+00:00"},{"alias_kind":"pith_short_12","alias_value":"6P4SJF747AAF","created_at":"2026-07-05T07:08:45.609696+00:00"},{"alias_kind":"pith_short_16","alias_value":"6P4SJF747AAFCRCQ","created_at":"2026-07-05T07:08:45.609696+00:00"},{"alias_kind":"pith_short_8","alias_value":"6P4SJF74","created_at":"2026-07-05T07:08:45.609696+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.10467","citing_title":"MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media","ref_index":11,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX","json":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX.json","graph_json":"https://pith.science/api/pith-number/6P4SJF747AAFCRCQC6QBMJ3INX/graph.json","events_json":"https://pith.science/api/pith-number/6P4SJF747AAFCRCQC6QBMJ3INX/events.json","paper":"https://pith.science/paper/6P4SJF74"},"agent_actions":{"view_html":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX","download_json":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX.json","view_paper":"https://pith.science/paper/6P4SJF74","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.01817&json=true","fetch_graph":"https://pith.science/api/pith-number/6P4SJF747AAFCRCQC6QBMJ3INX/graph.json","fetch_events":"https://pith.science/api/pith-number/6P4SJF747AAFCRCQC6QBMJ3INX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX/action/storage_attestation","attest_author":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX/action/author_attestation","sign_citation":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX/action/citation_signature","submit_replication":"https://pith.science/pith/6P4SJF747AAFCRCQC6QBMJ3INX/action/replication_record"}},"created_at":"2026-07-05T07:08:45.609696+00:00","updated_at":"2026-07-05T07:08:45.609696+00:00"}