{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:CH72NVEGGAVE6PU7UU5M3TJDT4","short_pith_number":"pith:CH72NVEG","canonical_record":{"source":{"id":"1707.01477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-07-05T17:19:45Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"c67d90f5136e6fd1e8d2e6f8fe84b2fa697752d5bead7b141adc8386054ff25a","abstract_canon_sha256":"4c126fb39c2d668f69ba7c8ff3cd7065c1745fbd9bce55df50817689048473e0"},"schema_version":"1.0"},"canonical_sha256":"11ffa6d486302a4f3e9fa53acdcd239f1956bf20bb685f55546b7b7e7db57548","source":{"kind":"arxiv","id":"1707.01477","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01477","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01477v1","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01477","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"pith_short_12","alias_value":"CH72NVEGGAVE","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CH72NVEGGAVE6PU7","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CH72NVEG","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:CH72NVEGGAVE6PU7UU5M3TJDT4","target":"record","payload":{"canonical_record":{"source":{"id":"1707.01477","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-07-05T17:19:45Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"c67d90f5136e6fd1e8d2e6f8fe84b2fa697752d5bead7b141adc8386054ff25a","abstract_canon_sha256":"4c126fb39c2d668f69ba7c8ff3cd7065c1745fbd9bce55df50817689048473e0"},"schema_version":"1.0"},"canonical_sha256":"11ffa6d486302a4f3e9fa53acdcd239f1956bf20bb685f55546b7b7e7db57548","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:03.009363Z","signature_b64":"5LgDP+aacPcDHR0+u5yWKj0Eg2H5FmmSkNnKliGiV8Z8ryYqVfOrxyZY2b6ARb0AWbQwVTRvFGNFcMBrRxfABA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11ffa6d486302a4f3e9fa53acdcd239f1956bf20bb685f55546b7b7e7db57548","last_reissued_at":"2026-05-18T00:36:03.008309Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:03.008309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.01477","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:36:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HGm25hevMvVvp/W6J07iqUlIEQEobAU+M5FLslGcGHn7zaqOgGZ5T4CB6U2Cey1QJErEsUQRIQa8BLc1hxJqAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T04:51:05.130262Z"},"content_sha256":"56b117882b5aaa0256fb3a57f4e625b969cd82e260bdd8b71de5781ee710b256","schema_version":"1.0","event_id":"sha256:56b117882b5aaa0256fb3a57f4e625b969cd82e260bdd8b71de5781ee710b256"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:CH72NVEGGAVE6PU7UU5M3TJDT4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Like trainer, like bot? Inheritance of bias in algorithmic content moderation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.CY","authors_text":"Max Van Kleek, Michael Veale, Nigel Shadbolt, Reuben Binns","submitted_at":"2017-07-05T17:19:45Z","abstract_excerpt":"The internet has become a central medium through which `networked publics' express their opinions and engage in debate. Offensive comments and personal attacks can inhibit participation in these spaces. Automated content moderation aims to overcome this problem using machine learning classifiers trained on large corpora of texts manually annotated for offence. While such systems could help encourage more civil debate, they must navigate inherently normatively contestable boundaries, and are subject to the idiosyncratic norms of the human raters who provide the training data. An important objec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01477","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:36:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQkXDRF3zg/jLNbQQO2iCApemt4mSlp0DnY6DuMaCkXrj233DgbFDSKi+DBa1ORNjny89qWyV8laBFrdzeNfCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T04:51:05.130625Z"},"content_sha256":"47c102554d02995f15ec02c2765e0ffe730bf6024e8fe12e9288051ba8148694","schema_version":"1.0","event_id":"sha256:47c102554d02995f15ec02c2765e0ffe730bf6024e8fe12e9288051ba8148694"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/bundle.json","state_url":"https://pith.science/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T04:51:05Z","links":{"resolver":"https://pith.science/pith/CH72NVEGGAVE6PU7UU5M3TJDT4","bundle":"https://pith.science/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/bundle.json","state":"https://pith.science/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CH72NVEGGAVE6PU7UU5M3TJDT4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:CH72NVEGGAVE6PU7UU5M3TJDT4","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":"4c126fb39c2d668f69ba7c8ff3cd7065c1745fbd9bce55df50817689048473e0","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-07-05T17:19:45Z","title_canon_sha256":"c67d90f5136e6fd1e8d2e6f8fe84b2fa697752d5bead7b141adc8386054ff25a"},"schema_version":"1.0","source":{"id":"1707.01477","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01477","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01477v1","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01477","created_at":"2026-05-18T00:36:03Z"},{"alias_kind":"pith_short_12","alias_value":"CH72NVEGGAVE","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"CH72NVEGGAVE6PU7","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"CH72NVEG","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:47c102554d02995f15ec02c2765e0ffe730bf6024e8fe12e9288051ba8148694","target":"graph","created_at":"2026-05-18T00:36:03Z","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"},"paper":{"abstract_excerpt":"The internet has become a central medium through which `networked publics' express their opinions and engage in debate. Offensive comments and personal attacks can inhibit participation in these spaces. Automated content moderation aims to overcome this problem using machine learning classifiers trained on large corpora of texts manually annotated for offence. While such systems could help encourage more civil debate, they must navigate inherently normatively contestable boundaries, and are subject to the idiosyncratic norms of the human raters who provide the training data. An important objec","authors_text":"Max Van Kleek, Michael Veale, Nigel Shadbolt, Reuben Binns","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-07-05T17:19:45Z","title":"Like trainer, like bot? Inheritance of bias in algorithmic content moderation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01477","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":"sha256:56b117882b5aaa0256fb3a57f4e625b969cd82e260bdd8b71de5781ee710b256","target":"record","created_at":"2026-05-18T00:36:03Z","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":"4c126fb39c2d668f69ba7c8ff3cd7065c1745fbd9bce55df50817689048473e0","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-07-05T17:19:45Z","title_canon_sha256":"c67d90f5136e6fd1e8d2e6f8fe84b2fa697752d5bead7b141adc8386054ff25a"},"schema_version":"1.0","source":{"id":"1707.01477","kind":"arxiv","version":1}},"canonical_sha256":"11ffa6d486302a4f3e9fa53acdcd239f1956bf20bb685f55546b7b7e7db57548","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11ffa6d486302a4f3e9fa53acdcd239f1956bf20bb685f55546b7b7e7db57548","first_computed_at":"2026-05-18T00:36:03.008309Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:03.008309Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5LgDP+aacPcDHR0+u5yWKj0Eg2H5FmmSkNnKliGiV8Z8ryYqVfOrxyZY2b6ARb0AWbQwVTRvFGNFcMBrRxfABA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:03.009363Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.01477","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56b117882b5aaa0256fb3a57f4e625b969cd82e260bdd8b71de5781ee710b256","sha256:47c102554d02995f15ec02c2765e0ffe730bf6024e8fe12e9288051ba8148694"],"state_sha256":"c9c37c2d48335a79372a96d81821409e8e01aa3986917bfa87a534dfc4f30280"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L/O0eBOXf7IsgWRTlMV/s+b+LQ0QPMCmLeBWoXa0jkMFbeDnjat/LTv83TVKCr+a9RqLb2b+frmi2DghHC+CBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T04:51:05.132568Z","bundle_sha256":"4600fbf675850df694f95b07372948ee0a746e500f5e99429264e769f0c16419"}}