{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:HPN34P3F67CVH3DZ653IREX7MZ","short_pith_number":"pith:HPN34P3F","schema_version":"1.0","canonical_sha256":"3bdbbe3f65f7c553ec79f7768892ff664146d56db04ff17872edb3106da1195d","source":{"kind":"arxiv","id":"1506.02431","version":2},"attestation_state":"computed","paper":{"title":"The Effects of Twitter Sentiment on Stock Price Returns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CY","authors_text":"Darko Aleksovski, Gabriele Ranco, Guido Caldarelli, Igor Mozeti\\v{c}, Miha Gr\\v{c}ar","submitted_at":"2015-06-08T10:37:33Z","abstract_excerpt":"Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-know micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones Industrial Average (DJIA) index. We find a relatively low Pearson correlation and Granger causality between the corresponding time series over the entire time period. However, we find a significant dependence between the Twitter sentiment and abnorma"},"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":"1506.02431","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2015-06-08T10:37:33Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"fe225975eac3b94e1fef01b6fb58ca23486353028703056aee07d9ab2afa1bb5","abstract_canon_sha256":"8f11621612eb54ee48720bfdf95098527f6f4aae19e998761f3f85b8b1d00b8a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:31:52.875050Z","signature_b64":"SaS3IajuVC3hRpaQj2xY1Xh/5HpaRVZPUtx4B1wf5ZYEeiCYJOcletLGgMyE7CunBMT9XwV2JwPAGbZDZsBhDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bdbbe3f65f7c553ec79f7768892ff664146d56db04ff17872edb3106da1195d","last_reissued_at":"2026-05-18T01:31:52.874473Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:31:52.874473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Effects of Twitter Sentiment on Stock Price Returns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.CY","authors_text":"Darko Aleksovski, Gabriele Ranco, Guido Caldarelli, Igor Mozeti\\v{c}, Miha Gr\\v{c}ar","submitted_at":"2015-06-08T10:37:33Z","abstract_excerpt":"Social media are increasingly reflecting and influencing behavior of other complex systems. In this paper we investigate the relations between a well-know micro-blogging platform Twitter and financial markets. In particular, we consider, in a period of 15 months, the Twitter volume and sentiment about the 30 stock companies that form the Dow Jones Industrial Average (DJIA) index. We find a relatively low Pearson correlation and Granger causality between the corresponding time series over the entire time period. However, we find a significant dependence between the Twitter sentiment and abnorma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1506.02431","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":"1506.02431","created_at":"2026-05-18T01:31:52.874554+00:00"},{"alias_kind":"arxiv_version","alias_value":"1506.02431v2","created_at":"2026-05-18T01:31:52.874554+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1506.02431","created_at":"2026-05-18T01:31:52.874554+00:00"},{"alias_kind":"pith_short_12","alias_value":"HPN34P3F67CV","created_at":"2026-05-18T12:29:25.134429+00:00"},{"alias_kind":"pith_short_16","alias_value":"HPN34P3F67CVH3DZ","created_at":"2026-05-18T12:29:25.134429+00:00"},{"alias_kind":"pith_short_8","alias_value":"HPN34P3F","created_at":"2026-05-18T12:29:25.134429+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/HPN34P3F67CVH3DZ653IREX7MZ","json":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ.json","graph_json":"https://pith.science/api/pith-number/HPN34P3F67CVH3DZ653IREX7MZ/graph.json","events_json":"https://pith.science/api/pith-number/HPN34P3F67CVH3DZ653IREX7MZ/events.json","paper":"https://pith.science/paper/HPN34P3F"},"agent_actions":{"view_html":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ","download_json":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ.json","view_paper":"https://pith.science/paper/HPN34P3F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1506.02431&json=true","fetch_graph":"https://pith.science/api/pith-number/HPN34P3F67CVH3DZ653IREX7MZ/graph.json","fetch_events":"https://pith.science/api/pith-number/HPN34P3F67CVH3DZ653IREX7MZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ/action/storage_attestation","attest_author":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ/action/author_attestation","sign_citation":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ/action/citation_signature","submit_replication":"https://pith.science/pith/HPN34P3F67CVH3DZ653IREX7MZ/action/replication_record"}},"created_at":"2026-05-18T01:31:52.874554+00:00","updated_at":"2026-05-18T01:31:52.874554+00:00"}