{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:B4B2ECQY4JMDGGQVMUYYEFYXUN","short_pith_number":"pith:B4B2ECQY","schema_version":"1.0","canonical_sha256":"0f03a20a18e258331a156531821717a365b2570767df347425c9d20ec493e3f7","source":{"kind":"arxiv","id":"1804.01576","version":1},"attestation_state":"computed","paper":{"title":"A Bayesian Model for False Information Belief Impact, Optimal Design, and Fake News Containment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Amin Khajehnejad, Shima Hajimirza","submitted_at":"2018-03-13T22:32:16Z","abstract_excerpt":"This work is a technical approach to modeling false information nature, design, belief impact and containment in multi-agent networks. We present a Bayesian mathematical model for source information and viewer's belief, and how the former impacts the latter in a media (network) of broadcasters and viewers. Given the proposed model, we study how a particular information (true or false) can be optimally designed into a report, so that on average it conveys the most amount of the original intended information to the viewers of the network. Consequently, the model allows us to study susceptibility"},"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":"1804.01576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-03-13T22:32:16Z","cross_cats_sorted":[],"title_canon_sha256":"a4819ab228b168985a68f757a51d6ca562c73abbdbb5ed02e4a9eab826c8b032","abstract_canon_sha256":"8deeaab467d4d8a97af0ca6340b59ad39f40b2a8f5d2a1ba970dcf144c006277"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:10.842602Z","signature_b64":"m6SqwBSdnq/cP2JY++pXJ6CnU6UABXC3TpgNsdaXTP8Vif2dlJbnJWbSzjuq5nNmU6XyaTpca6rAA5n2fu0DBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f03a20a18e258331a156531821717a365b2570767df347425c9d20ec493e3f7","last_reissued_at":"2026-05-18T00:19:10.841834Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:10.841834Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Bayesian Model for False Information Belief Impact, Optimal Design, and Fake News Containment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Amin Khajehnejad, Shima Hajimirza","submitted_at":"2018-03-13T22:32:16Z","abstract_excerpt":"This work is a technical approach to modeling false information nature, design, belief impact and containment in multi-agent networks. We present a Bayesian mathematical model for source information and viewer's belief, and how the former impacts the latter in a media (network) of broadcasters and viewers. Given the proposed model, we study how a particular information (true or false) can be optimally designed into a report, so that on average it conveys the most amount of the original intended information to the viewers of the network. Consequently, the model allows us to study susceptibility"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.01576","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":"1804.01576","created_at":"2026-05-18T00:19:10.841968+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.01576v1","created_at":"2026-05-18T00:19:10.841968+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.01576","created_at":"2026-05-18T00:19:10.841968+00:00"},{"alias_kind":"pith_short_12","alias_value":"B4B2ECQY4JMD","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"B4B2ECQY4JMDGGQV","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"B4B2ECQY","created_at":"2026-05-18T12:32:13.499390+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/B4B2ECQY4JMDGGQVMUYYEFYXUN","json":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN.json","graph_json":"https://pith.science/api/pith-number/B4B2ECQY4JMDGGQVMUYYEFYXUN/graph.json","events_json":"https://pith.science/api/pith-number/B4B2ECQY4JMDGGQVMUYYEFYXUN/events.json","paper":"https://pith.science/paper/B4B2ECQY"},"agent_actions":{"view_html":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN","download_json":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN.json","view_paper":"https://pith.science/paper/B4B2ECQY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.01576&json=true","fetch_graph":"https://pith.science/api/pith-number/B4B2ECQY4JMDGGQVMUYYEFYXUN/graph.json","fetch_events":"https://pith.science/api/pith-number/B4B2ECQY4JMDGGQVMUYYEFYXUN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN/action/storage_attestation","attest_author":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN/action/author_attestation","sign_citation":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN/action/citation_signature","submit_replication":"https://pith.science/pith/B4B2ECQY4JMDGGQVMUYYEFYXUN/action/replication_record"}},"created_at":"2026-05-18T00:19:10.841968+00:00","updated_at":"2026-05-18T00:19:10.841968+00:00"}