{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UIHFXXCEQD2Y2LJZEP3OQ3IO2M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4075e9cab811e13c13e226a2d52baef041fd4bef5448498fc1b057ba29dea800","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2021-10-18T10:23:19Z","title_canon_sha256":"653d77b44b9c8d6d0767434ba1fbea49f6eecb3c8ec9481f3278500d99c71307"},"schema_version":"1.0","source":{"id":"2110.09158","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.09158","created_at":"2026-07-05T03:23:24Z"},{"alias_kind":"arxiv_version","alias_value":"2110.09158v1","created_at":"2026-07-05T03:23:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.09158","created_at":"2026-07-05T03:23:24Z"},{"alias_kind":"pith_short_12","alias_value":"UIHFXXCEQD2Y","created_at":"2026-07-05T03:23:24Z"},{"alias_kind":"pith_short_16","alias_value":"UIHFXXCEQD2Y2LJZ","created_at":"2026-07-05T03:23:24Z"},{"alias_kind":"pith_short_8","alias_value":"UIHFXXCE","created_at":"2026-07-05T03:23:24Z"}],"graph_snapshots":[{"event_id":"sha256:2b615c0f126ae5f4d184a20a48c78ea6b60392582062046e1d486b195d451628","target":"graph","created_at":"2026-07-05T03:23:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2110.09158/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Media bias and its extreme form, fake news, can decisively affect public opinion. Especially when reporting on policy issues, slanted news coverage may strongly influence societal decisions, e.g., in democratic elections. Our paper makes three contributions to address this issue. First, we present a system for bias identification, which combines state-of-the-art methods from natural language understanding. Second, we devise bias-sensitive visualizations to communicate bias in news articles to non-expert news consumers. Third, our main contribution is a large-scale user study that measures bias","authors_text":"Anastasia Zhukova, Bela Gipp, Felix Hamborg, Karsten Donnay, Kim Heinser","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2021-10-18T10:23:19Z","title":"Newsalyze: Effective Communication of Person-Targeting Biases in News Articles"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.09158","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1eb3493d733a2d4b6953beec96efb101bd2f517dc76a06159e7143519d38f44f","target":"record","created_at":"2026-07-05T03:23:24Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4075e9cab811e13c13e226a2d52baef041fd4bef5448498fc1b057ba29dea800","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2021-10-18T10:23:19Z","title_canon_sha256":"653d77b44b9c8d6d0767434ba1fbea49f6eecb3c8ec9481f3278500d99c71307"},"schema_version":"1.0","source":{"id":"2110.09158","kind":"arxiv","version":1}},"canonical_sha256":"a20e5bdc4480f58d2d3923f6e86d0ed33a38691711b29646686a6e8ad613f78a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a20e5bdc4480f58d2d3923f6e86d0ed33a38691711b29646686a6e8ad613f78a","first_computed_at":"2026-07-05T03:23:24.978635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:23:24.978635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DkZK8ii6TqdzbYru2wfbiFaqsBz+oSxlvztVde/lRgbhrQQXOMH8ENSOKG4dltw30GVuIHb68yv+swYHLk7qDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:23:24.978965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.09158","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eb3493d733a2d4b6953beec96efb101bd2f517dc76a06159e7143519d38f44f","sha256:2b615c0f126ae5f4d184a20a48c78ea6b60392582062046e1d486b195d451628"],"state_sha256":"903e55d9ceece756a839438e56b7bac39211fee53d7f6aed1c7b63080941a39f"}