{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:IYOO4CMKXBOYK47KX56VWIISC7","short_pith_number":"pith:IYOO4CMK","schema_version":"1.0","canonical_sha256":"461cee098ab85d8573eabf7d5b211217c4c64af814f525404f628e767a46c2b2","source":{"kind":"arxiv","id":"2301.11579","version":1},"attestation_state":"computed","paper":{"title":"Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY","cs.LG"],"primary_cat":"cs.SI","authors_text":"Aaron Dant, Jarod Govers, Panos Patros, Philip Feldman","submitted_at":"2023-01-27T07:59:31Z","abstract_excerpt":"Social media is a modern person's digital voice to project and engage with new ideas and mobilise communities $\\unicode{x2013}$ a power shared with extremists. Given the societal risks of unvetted content-moderating algorithms for Extremism, Radicalisation, and Hate speech (ERH) detection, responsible software engineering must understand the who, what, when, where, and why such models are necessary to protect user safety and free expression. Hence, we propose and examine the unique research field of ERH context mining to unify disjoint studies. Specifically, we evaluate the start-to-finish des"},"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":"2301.11579","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2023-01-27T07:59:31Z","cross_cats_sorted":["cs.AI","cs.CL","cs.CY","cs.LG"],"title_canon_sha256":"b833943b508bb651bde2c47fcb17bcea725f276c1c08a93cd7df38473ee93efe","abstract_canon_sha256":"73bf43426fca495671b4d3230ac6223e9d097b86a9d132e9c5b293729b01a51a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:36:23.872152Z","signature_b64":"qKpkSM63K9G7O6L2TIbIiS8GBnM+FJWPWIvehG8qLoJBlKPVAmG+0qwurwTyRfP3Bz39kukOUbpu4JklnIU1AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"461cee098ab85d8573eabf7d5b211217c4c64af814f525404f628e767a46c2b2","last_reissued_at":"2026-07-05T05:36:23.871699Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:36:23.871699Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.CY","cs.LG"],"primary_cat":"cs.SI","authors_text":"Aaron Dant, Jarod Govers, Panos Patros, Philip Feldman","submitted_at":"2023-01-27T07:59:31Z","abstract_excerpt":"Social media is a modern person's digital voice to project and engage with new ideas and mobilise communities $\\unicode{x2013}$ a power shared with extremists. Given the societal risks of unvetted content-moderating algorithms for Extremism, Radicalisation, and Hate speech (ERH) detection, responsible software engineering must understand the who, what, when, where, and why such models are necessary to protect user safety and free expression. Hence, we propose and examine the unique research field of ERH context mining to unify disjoint studies. Specifically, we evaluate the start-to-finish des"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.11579","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/2301.11579/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":"2301.11579","created_at":"2026-07-05T05:36:23.871758+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.11579v1","created_at":"2026-07-05T05:36:23.871758+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.11579","created_at":"2026-07-05T05:36:23.871758+00:00"},{"alias_kind":"pith_short_12","alias_value":"IYOO4CMKXBOY","created_at":"2026-07-05T05:36:23.871758+00:00"},{"alias_kind":"pith_short_16","alias_value":"IYOO4CMKXBOYK47K","created_at":"2026-07-05T05:36:23.871758+00:00"},{"alias_kind":"pith_short_8","alias_value":"IYOO4CMK","created_at":"2026-07-05T05:36:23.871758+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/IYOO4CMKXBOYK47KX56VWIISC7","json":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7.json","graph_json":"https://pith.science/api/pith-number/IYOO4CMKXBOYK47KX56VWIISC7/graph.json","events_json":"https://pith.science/api/pith-number/IYOO4CMKXBOYK47KX56VWIISC7/events.json","paper":"https://pith.science/paper/IYOO4CMK"},"agent_actions":{"view_html":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7","download_json":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7.json","view_paper":"https://pith.science/paper/IYOO4CMK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.11579&json=true","fetch_graph":"https://pith.science/api/pith-number/IYOO4CMKXBOYK47KX56VWIISC7/graph.json","fetch_events":"https://pith.science/api/pith-number/IYOO4CMKXBOYK47KX56VWIISC7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7/action/storage_attestation","attest_author":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7/action/author_attestation","sign_citation":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7/action/citation_signature","submit_replication":"https://pith.science/pith/IYOO4CMKXBOYK47KX56VWIISC7/action/replication_record"}},"created_at":"2026-07-05T05:36:23.871758+00:00","updated_at":"2026-07-05T05:36:23.871758+00:00"}