{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:UL5OTQBPDPIMDTL6AJV7VMODO4","short_pith_number":"pith:UL5OTQBP","schema_version":"1.0","canonical_sha256":"a2fae9c02f1bd0c1cd7e026bfab1c377230abd7b912f673145b8ab6709e0db11","source":{"kind":"arxiv","id":"1907.10855","version":1},"attestation_state":"computed","paper":{"title":"Machine learning and semantic analysis of in-game chat for cyberbullying","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CR","authors_text":"Adrian Smales, Gordon Russell, Shane Murnion, William J. Buchanan","submitted_at":"2019-07-25T06:35:49Z","abstract_excerpt":"One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report their impressions. In this paper, an automatic data collection system is presented that continuously collects in-game chat data from one of the most popular online multi-player games: World of Tanks. The data was collected and combined with other information about the players from available online data services. It presents a scoring scheme to enable identification of cyberbullying based on current research. Classificati"},"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":"1907.10855","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2019-07-25T06:35:49Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"905d23032ee6c1985381528b34aa1c36a0e1ac52a87dfd70140cc3165ab102d4","abstract_canon_sha256":"0bc470fb9dab474f090a2f32239585a0ee627de6b75ddf7db87230aa46290414"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:34.300664Z","signature_b64":"nm24uiMNH4EUE8TVgCPhrRYvPmet/U/2jqoz1pnjHEcfG5jV0CWA/OltTZoQf3fK+fOrq6khn/Q5gjNHJvEzCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2fae9c02f1bd0c1cd7e026bfab1c377230abd7b912f673145b8ab6709e0db11","last_reissued_at":"2026-05-17T23:39:34.300102Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:34.300102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Machine learning and semantic analysis of in-game chat for cyberbullying","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.CR","authors_text":"Adrian Smales, Gordon Russell, Shane Murnion, William J. Buchanan","submitted_at":"2019-07-25T06:35:49Z","abstract_excerpt":"One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report their impressions. In this paper, an automatic data collection system is presented that continuously collects in-game chat data from one of the most popular online multi-player games: World of Tanks. The data was collected and combined with other information about the players from available online data services. It presents a scoring scheme to enable identification of cyberbullying based on current research. Classificati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.10855","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1907.10855","created_at":"2026-05-17T23:39:34.300197+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.10855v1","created_at":"2026-05-17T23:39:34.300197+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.10855","created_at":"2026-05-17T23:39:34.300197+00:00"},{"alias_kind":"pith_short_12","alias_value":"UL5OTQBPDPIM","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"UL5OTQBPDPIMDTL6","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"UL5OTQBP","created_at":"2026-05-18T12:33:30.264802+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/UL5OTQBPDPIMDTL6AJV7VMODO4","json":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4.json","graph_json":"https://pith.science/api/pith-number/UL5OTQBPDPIMDTL6AJV7VMODO4/graph.json","events_json":"https://pith.science/api/pith-number/UL5OTQBPDPIMDTL6AJV7VMODO4/events.json","paper":"https://pith.science/paper/UL5OTQBP"},"agent_actions":{"view_html":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4","download_json":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4.json","view_paper":"https://pith.science/paper/UL5OTQBP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.10855&json=true","fetch_graph":"https://pith.science/api/pith-number/UL5OTQBPDPIMDTL6AJV7VMODO4/graph.json","fetch_events":"https://pith.science/api/pith-number/UL5OTQBPDPIMDTL6AJV7VMODO4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4/action/storage_attestation","attest_author":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4/action/author_attestation","sign_citation":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4/action/citation_signature","submit_replication":"https://pith.science/pith/UL5OTQBPDPIMDTL6AJV7VMODO4/action/replication_record"}},"created_at":"2026-05-17T23:39:34.300197+00:00","updated_at":"2026-05-17T23:39:34.300197+00:00"}