{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:VGAASHWBN4N5SUSSNLZW5Y422T","short_pith_number":"pith:VGAASHWB","schema_version":"1.0","canonical_sha256":"a980091ec16f1bd952526af36ee39ad4f3faf73310c1b9461d4a57091c561a8d","source":{"kind":"arxiv","id":"1703.01725","version":1},"attestation_state":"computed","paper":{"title":"Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV","physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"David Mimno, Jack Hessel, Lillian Lee","submitted_at":"2017-03-06T04:56:19Z","abstract_excerpt":"The content of today's social media is becoming more and more rich, increasingly mixing text, images, videos, and audio. It is an intriguing research question to model the interplay between these different modes in attracting user attention and engagement. But in order to pursue this study of multimodal content, we must also account for context: timing effects, community preferences, and social factors (e.g., which authors are already popular) also affect the amount of feedback and reaction that social-media posts receive. In this work, we separate out the influence of these non-content factor"},"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":"1703.01725","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2017-03-06T04:56:19Z","cross_cats_sorted":["cs.CL","cs.CV","physics.soc-ph"],"title_canon_sha256":"8c09cd7601eebecc1e5e256c607fb235cc7b01079042c92b0f23db2487546f78","abstract_canon_sha256":"cf3f6c0c46a5c75d9a184725a8e98368db565bc19df72ebce984491c154640be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:29.847752Z","signature_b64":"0cElhuZLfNXMmjJxBR4dbDCxtfabEG7XjhKcUgD3S+HMHw+AjJ5c7hqZpPcFQ70mPfDVdRjEz5f45cC3HtvzBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a980091ec16f1bd952526af36ee39ad4f3faf73310c1b9461d4a57091c561a8d","last_reissued_at":"2026-05-18T00:49:29.847123Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:29.847123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cats and Captions vs. Creators and the Clock: Comparing Multimodal Content to Context in Predicting Relative Popularity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV","physics.soc-ph"],"primary_cat":"cs.SI","authors_text":"David Mimno, Jack Hessel, Lillian Lee","submitted_at":"2017-03-06T04:56:19Z","abstract_excerpt":"The content of today's social media is becoming more and more rich, increasingly mixing text, images, videos, and audio. It is an intriguing research question to model the interplay between these different modes in attracting user attention and engagement. But in order to pursue this study of multimodal content, we must also account for context: timing effects, community preferences, and social factors (e.g., which authors are already popular) also affect the amount of feedback and reaction that social-media posts receive. In this work, we separate out the influence of these non-content factor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01725","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":"1703.01725","created_at":"2026-05-18T00:49:29.847197+00:00"},{"alias_kind":"arxiv_version","alias_value":"1703.01725v1","created_at":"2026-05-18T00:49:29.847197+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01725","created_at":"2026-05-18T00:49:29.847197+00:00"},{"alias_kind":"pith_short_12","alias_value":"VGAASHWBN4N5","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_16","alias_value":"VGAASHWBN4N5SUSS","created_at":"2026-05-18T12:31:49.984773+00:00"},{"alias_kind":"pith_short_8","alias_value":"VGAASHWB","created_at":"2026-05-18T12:31:49.984773+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.03769","citing_title":"The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing","ref_index":28,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T","json":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T.json","graph_json":"https://pith.science/api/pith-number/VGAASHWBN4N5SUSSNLZW5Y422T/graph.json","events_json":"https://pith.science/api/pith-number/VGAASHWBN4N5SUSSNLZW5Y422T/events.json","paper":"https://pith.science/paper/VGAASHWB"},"agent_actions":{"view_html":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T","download_json":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T.json","view_paper":"https://pith.science/paper/VGAASHWB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1703.01725&json=true","fetch_graph":"https://pith.science/api/pith-number/VGAASHWBN4N5SUSSNLZW5Y422T/graph.json","fetch_events":"https://pith.science/api/pith-number/VGAASHWBN4N5SUSSNLZW5Y422T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T/action/storage_attestation","attest_author":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T/action/author_attestation","sign_citation":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T/action/citation_signature","submit_replication":"https://pith.science/pith/VGAASHWBN4N5SUSSNLZW5Y422T/action/replication_record"}},"created_at":"2026-05-18T00:49:29.847197+00:00","updated_at":"2026-05-18T00:49:29.847197+00:00"}