{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:AXY3GM2AHCNKGBKBCJKVUS72Y3","short_pith_number":"pith:AXY3GM2A","schema_version":"1.0","canonical_sha256":"05f1b33340389aa3054112555a4bfac6d2364c6b834ccb4fd6c88600558dfc77","source":{"kind":"arxiv","id":"2607.00849","version":1},"attestation_state":"computed","paper":{"title":"The Course of News Events: A Comparison of Bottom-Up and Top-Down Approaches for Collecting Text-Based Data about Disasters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andreas Niekler, Brielen Madureira, Mariana Madruga de Brito","submitted_at":"2026-07-01T12:15:50Z","abstract_excerpt":"News articles are an important source of information on disaster impacts and adaptation. A key methodological challenge in socio-environmental studies is how to select a representative data sample. Two approaches are common: querying news databases top-down with the aid of an existing disaster inventory or using NLP methods to cluster news texts bottom-up based on temporal and spatial features. Using a dataset of German news about landslides worldwide, we compare these approaches and discuss variations in event coverage. Such research design decision can influence the resulting news sample, af"},"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":"2607.00849","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T12:15:50Z","cross_cats_sorted":[],"title_canon_sha256":"f97d71d4ac11ba67496efb3044ed8d95864a7158b8d1b546e4614d729578ce85","abstract_canon_sha256":"2451b6d643cb42978404d0699674d59e91a3aa61c421ce8b5c306f39099fcb24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:21.389651Z","signature_b64":"XjWKN7mU+ANppiU7u6DyFQTasFvZZh4EG/MCmcd+Q+mhjbovN6zahQVSpHNGCqiAIScxbb35niwXVPVaYJZQAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05f1b33340389aa3054112555a4bfac6d2364c6b834ccb4fd6c88600558dfc77","last_reissued_at":"2026-07-02T01:18:21.389242Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:21.389242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Course of News Events: A Comparison of Bottom-Up and Top-Down Approaches for Collecting Text-Based Data about Disasters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andreas Niekler, Brielen Madureira, Mariana Madruga de Brito","submitted_at":"2026-07-01T12:15:50Z","abstract_excerpt":"News articles are an important source of information on disaster impacts and adaptation. A key methodological challenge in socio-environmental studies is how to select a representative data sample. Two approaches are common: querying news databases top-down with the aid of an existing disaster inventory or using NLP methods to cluster news texts bottom-up based on temporal and spatial features. Using a dataset of German news about landslides worldwide, we compare these approaches and discuss variations in event coverage. Such research design decision can influence the resulting news sample, af"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00849","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/2607.00849/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":"2607.00849","created_at":"2026-07-02T01:18:21.389296+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.00849v1","created_at":"2026-07-02T01:18:21.389296+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00849","created_at":"2026-07-02T01:18:21.389296+00:00"},{"alias_kind":"pith_short_12","alias_value":"AXY3GM2AHCNK","created_at":"2026-07-02T01:18:21.389296+00:00"},{"alias_kind":"pith_short_16","alias_value":"AXY3GM2AHCNKGBKB","created_at":"2026-07-02T01:18:21.389296+00:00"},{"alias_kind":"pith_short_8","alias_value":"AXY3GM2A","created_at":"2026-07-02T01:18:21.389296+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3","json":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3.json","graph_json":"https://pith.science/api/pith-number/AXY3GM2AHCNKGBKBCJKVUS72Y3/graph.json","events_json":"https://pith.science/api/pith-number/AXY3GM2AHCNKGBKBCJKVUS72Y3/events.json","paper":"https://pith.science/paper/AXY3GM2A"},"agent_actions":{"view_html":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3","download_json":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3.json","view_paper":"https://pith.science/paper/AXY3GM2A","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.00849&json=true","fetch_graph":"https://pith.science/api/pith-number/AXY3GM2AHCNKGBKBCJKVUS72Y3/graph.json","fetch_events":"https://pith.science/api/pith-number/AXY3GM2AHCNKGBKBCJKVUS72Y3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3/action/storage_attestation","attest_author":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3/action/author_attestation","sign_citation":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3/action/citation_signature","submit_replication":"https://pith.science/pith/AXY3GM2AHCNKGBKBCJKVUS72Y3/action/replication_record"}},"created_at":"2026-07-02T01:18:21.389296+00:00","updated_at":"2026-07-02T01:18:21.389296+00:00"}