{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:EXQIGKEHZHDT7FDDPJOFI2TM4N","short_pith_number":"pith:EXQIGKEH","schema_version":"1.0","canonical_sha256":"25e0832887c9c73f94637a5c546a6ce361c7c2117e2375b5111dc6c0f0f619c9","source":{"kind":"arxiv","id":"1509.05935","version":1},"attestation_state":"computed","paper":{"title":"Spotting Suspicious Reviews via (Quasi-)clique Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Bogdan Carbunar, Duen Horng Chau, Mozhgan Azimpourkivi, Paras Jain, Shang-Tse Chen","submitted_at":"2015-09-19T21:01:38Z","abstract_excerpt":"How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover well-organized suspicious reviewers. From a Yelp dataset with over one million reviews, we construct multiple Reviewer Similarity graphs to link users that have unusually similar behavior: two reviewers are connected in the graph if they have reviewed the same set of venues within a few days. From these graphs, our algorithms extracted many large cliques an"},"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":"1509.05935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2015-09-19T21:01:38Z","cross_cats_sorted":[],"title_canon_sha256":"91a0b066ae3ff781e08cc664646678c798fb5291ea25a871c0786e0ede4f45ac","abstract_canon_sha256":"fed05c75c26e2ac21f9bc82d134346503843142b0bff50dbbad5b50720f82699"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:32:36.326206Z","signature_b64":"V5L9Hpb8MYIN4/0SyW8pXJ2TtYauWOuUzewjh9KT5tCaPYX/549c/MMnK6/YyRDR5uUJl/v71B0H6kUBPB18Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"25e0832887c9c73f94637a5c546a6ce361c7c2117e2375b5111dc6c0f0f619c9","last_reissued_at":"2026-05-18T01:32:36.325603Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:32:36.325603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spotting Suspicious Reviews via (Quasi-)clique Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Bogdan Carbunar, Duen Horng Chau, Mozhgan Azimpourkivi, Paras Jain, Shang-Tse Chen","submitted_at":"2015-09-19T21:01:38Z","abstract_excerpt":"How to tell if a review is real or fake? What does the underworld of fraudulent reviewing look like? Detecting suspicious reviews has become a major issue for many online services. We propose the use of a clique-finding approach to discover well-organized suspicious reviewers. From a Yelp dataset with over one million reviews, we construct multiple Reviewer Similarity graphs to link users that have unusually similar behavior: two reviewers are connected in the graph if they have reviewed the same set of venues within a few days. From these graphs, our algorithms extracted many large cliques an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.05935","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":"1509.05935","created_at":"2026-05-18T01:32:36.325698+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.05935v1","created_at":"2026-05-18T01:32:36.325698+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.05935","created_at":"2026-05-18T01:32:36.325698+00:00"},{"alias_kind":"pith_short_12","alias_value":"EXQIGKEHZHDT","created_at":"2026-05-18T12:29:19.899920+00:00"},{"alias_kind":"pith_short_16","alias_value":"EXQIGKEHZHDT7FDD","created_at":"2026-05-18T12:29:19.899920+00:00"},{"alias_kind":"pith_short_8","alias_value":"EXQIGKEH","created_at":"2026-05-18T12:29:19.899920+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/EXQIGKEHZHDT7FDDPJOFI2TM4N","json":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N.json","graph_json":"https://pith.science/api/pith-number/EXQIGKEHZHDT7FDDPJOFI2TM4N/graph.json","events_json":"https://pith.science/api/pith-number/EXQIGKEHZHDT7FDDPJOFI2TM4N/events.json","paper":"https://pith.science/paper/EXQIGKEH"},"agent_actions":{"view_html":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N","download_json":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N.json","view_paper":"https://pith.science/paper/EXQIGKEH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.05935&json=true","fetch_graph":"https://pith.science/api/pith-number/EXQIGKEHZHDT7FDDPJOFI2TM4N/graph.json","fetch_events":"https://pith.science/api/pith-number/EXQIGKEHZHDT7FDDPJOFI2TM4N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N/action/storage_attestation","attest_author":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N/action/author_attestation","sign_citation":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N/action/citation_signature","submit_replication":"https://pith.science/pith/EXQIGKEHZHDT7FDDPJOFI2TM4N/action/replication_record"}},"created_at":"2026-05-18T01:32:36.325698+00:00","updated_at":"2026-05-18T01:32:36.325698+00:00"}