{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:55LDZ5GLUI5QRCJSQXBZW3QTXU","short_pith_number":"pith:55LDZ5GL","schema_version":"1.0","canonical_sha256":"ef563cf4cba23b08893285c39b6e13bd04264415164746b356d54de81852c4cc","source":{"kind":"arxiv","id":"1804.01235","version":2},"attestation_state":"computed","paper":{"title":"Real-time Detection of Content Polluters in Partially Observable Twitter Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Andrew Nguyen, Lewis Mitchell, Mehwish Nasim, Nick Lothian, Robert Cope","submitted_at":"2018-04-04T04:38:36Z","abstract_excerpt":"Content polluters, or bots that hijack a conversation for political or advertising purposes are a known problem for event prediction, election forecasting and when distinguishing real news from fake news in social media data. Identifying this type of bot is particularly challenging, with state-of-the-art methods utilising large volumes of network data as features for machine learning models. Such datasets are generally not readily available in typical applications which stream social media data for real-time event prediction. In this work we develop a methodology to detect content polluters in"},"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":"1804.01235","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-04T04:38:36Z","cross_cats_sorted":[],"title_canon_sha256":"1814d7cf45eb60e9ffe553521d7d86a7e31a20887637df2ec70ea7741bc911e0","abstract_canon_sha256":"3f488cc314d9632f18ae77d9d81f70fa14b2a254fea80630515e298ab6e8b9fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:25.016905Z","signature_b64":"NaZ9VTEGYYH1EmSR+jFzKzgMdZcRnk94e27j8aTCe7R5SMpRQVaw8w5NCdNs/AGP+/83zPPbJtcNI16LEfUPAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef563cf4cba23b08893285c39b6e13bd04264415164746b356d54de81852c4cc","last_reissued_at":"2026-05-18T00:18:25.016255Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:25.016255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-time Detection of Content Polluters in Partially Observable Twitter Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Andrew Nguyen, Lewis Mitchell, Mehwish Nasim, Nick Lothian, Robert Cope","submitted_at":"2018-04-04T04:38:36Z","abstract_excerpt":"Content polluters, or bots that hijack a conversation for political or advertising purposes are a known problem for event prediction, election forecasting and when distinguishing real news from fake news in social media data. Identifying this type of bot is particularly challenging, with state-of-the-art methods utilising large volumes of network data as features for machine learning models. Such datasets are generally not readily available in typical applications which stream social media data for real-time event prediction. In this work we develop a methodology to detect content polluters in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01235","kind":"arxiv","version":2},"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":"1804.01235","created_at":"2026-05-18T00:18:25.016361+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.01235v2","created_at":"2026-05-18T00:18:25.016361+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01235","created_at":"2026-05-18T00:18:25.016361+00:00"},{"alias_kind":"pith_short_12","alias_value":"55LDZ5GLUI5Q","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_16","alias_value":"55LDZ5GLUI5QRCJS","created_at":"2026-05-18T12:32:05.422762+00:00"},{"alias_kind":"pith_short_8","alias_value":"55LDZ5GL","created_at":"2026-05-18T12:32:05.422762+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/55LDZ5GLUI5QRCJSQXBZW3QTXU","json":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU.json","graph_json":"https://pith.science/api/pith-number/55LDZ5GLUI5QRCJSQXBZW3QTXU/graph.json","events_json":"https://pith.science/api/pith-number/55LDZ5GLUI5QRCJSQXBZW3QTXU/events.json","paper":"https://pith.science/paper/55LDZ5GL"},"agent_actions":{"view_html":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU","download_json":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU.json","view_paper":"https://pith.science/paper/55LDZ5GL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.01235&json=true","fetch_graph":"https://pith.science/api/pith-number/55LDZ5GLUI5QRCJSQXBZW3QTXU/graph.json","fetch_events":"https://pith.science/api/pith-number/55LDZ5GLUI5QRCJSQXBZW3QTXU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU/action/storage_attestation","attest_author":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU/action/author_attestation","sign_citation":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU/action/citation_signature","submit_replication":"https://pith.science/pith/55LDZ5GLUI5QRCJSQXBZW3QTXU/action/replication_record"}},"created_at":"2026-05-18T00:18:25.016361+00:00","updated_at":"2026-05-18T00:18:25.016361+00:00"}