{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:IFFNQ22MHYFA2EUBLTQ7IQNNDU","short_pith_number":"pith:IFFNQ22M","canonical_record":{"source":{"id":"1804.02233","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-06T12:36:28Z","cross_cats_sorted":["cs.CL","cs.CY","econ.TH"],"title_canon_sha256":"1b3bcf3bf3faa168091c125d4f06a44faa85540760e8445469052ec5024eabeb","abstract_canon_sha256":"5c1994f2bbd2b1c907c32f0e3e82d2d547ae41c49f4d386e8f11b4571677bcbd"},"schema_version":"1.0"},"canonical_sha256":"414ad86b4c3e0a0d12815ce1f441ad1d0d06251536fc2760869c06263e85b142","source":{"kind":"arxiv","id":"1804.02233","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02233","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02233v2","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02233","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"pith_short_12","alias_value":"IFFNQ22MHYFA","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IFFNQ22MHYFA2EUB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IFFNQ22M","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:IFFNQ22MHYFA2EUBLTQ7IQNNDU","target":"record","payload":{"canonical_record":{"source":{"id":"1804.02233","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-06T12:36:28Z","cross_cats_sorted":["cs.CL","cs.CY","econ.TH"],"title_canon_sha256":"1b3bcf3bf3faa168091c125d4f06a44faa85540760e8445469052ec5024eabeb","abstract_canon_sha256":"5c1994f2bbd2b1c907c32f0e3e82d2d547ae41c49f4d386e8f11b4571677bcbd"},"schema_version":"1.0"},"canonical_sha256":"414ad86b4c3e0a0d12815ce1f441ad1d0d06251536fc2760869c06263e85b142","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:16.882003Z","signature_b64":"auuJZ7Ksdsm2cWiNbJi8mcAtFUM9cYWZpIw4Hu47bbG3bTJqIO23E0UV5XwcMU8I/y9mAIFXtV1x2mJOGE8cCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"414ad86b4c3e0a0d12815ce1f441ad1d0d06251536fc2760869c06263e85b142","last_reissued_at":"2026-05-18T00:10:16.881581Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:16.881581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.02233","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzwR3fQhRqJWCXwpBdtmD9O5po6n7oiG7cySitrkpGIgVStHYIqNUpjjp/Ad+4lLENGgox4SFd5Jq67sIchmCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T07:35:54.009541Z"},"content_sha256":"294a5e8f3132ab1d1001bc7ab257efc44e61bddeb250724927ddb35533506bfe","schema_version":"1.0","event_id":"sha256:294a5e8f3132ab1d1001bc7ab257efc44e61bddeb250724927ddb35533506bfe"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:IFFNQ22MHYFA2EUBLTQ7IQNNDU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Forex trading and Twitter: Spam, bots, and reputation manipulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CY","econ.TH"],"primary_cat":"cs.SI","authors_text":"Igor Mozeti\\v{c}, Peter Gabrov\\v{s}ek, Petra Kralj Novak","submitted_at":"2018-04-06T12:36:28Z","abstract_excerpt":"Currency trading (Forex) is the largest world market in terms of volume. We analyze trading and tweeting about the EUR-USD currency pair over a period of three years. First, a large number of tweets were manually labeled, and a Twitter stance classification model is constructed. The model then classifies all the tweets by the trading stance signal: buy, hold, or sell (EUR vs. USD). The Twitter stance is compared to the actual currency rates by applying the event study methodology, well-known in financial economics. It turns out that there are large differences in Twitter stance distribution an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02233","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MJzXBVddXzWZSv9bqe3kP+qM3lrCDHGcz5XfwR8gJNFzv2BjfHYEC5wgNffnepd7tIX0pgYa+Gz4i2xn4476Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T07:35:54.009890Z"},"content_sha256":"0845e4d11f60b67298d37ac2eba14cfa5fb749dbcd030e8e9870d94d4f3281f9","schema_version":"1.0","event_id":"sha256:0845e4d11f60b67298d37ac2eba14cfa5fb749dbcd030e8e9870d94d4f3281f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/bundle.json","state_url":"https://pith.science/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-28T07:35:54Z","links":{"resolver":"https://pith.science/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU","bundle":"https://pith.science/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/bundle.json","state":"https://pith.science/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IFFNQ22MHYFA2EUBLTQ7IQNNDU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:IFFNQ22MHYFA2EUBLTQ7IQNNDU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"5c1994f2bbd2b1c907c32f0e3e82d2d547ae41c49f4d386e8f11b4571677bcbd","cross_cats_sorted":["cs.CL","cs.CY","econ.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-06T12:36:28Z","title_canon_sha256":"1b3bcf3bf3faa168091c125d4f06a44faa85540760e8445469052ec5024eabeb"},"schema_version":"1.0","source":{"id":"1804.02233","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.02233","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"arxiv_version","alias_value":"1804.02233v2","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.02233","created_at":"2026-05-18T00:10:16Z"},{"alias_kind":"pith_short_12","alias_value":"IFFNQ22MHYFA","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"IFFNQ22MHYFA2EUB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"IFFNQ22M","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:0845e4d11f60b67298d37ac2eba14cfa5fb749dbcd030e8e9870d94d4f3281f9","target":"graph","created_at":"2026-05-18T00:10:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Currency trading (Forex) is the largest world market in terms of volume. We analyze trading and tweeting about the EUR-USD currency pair over a period of three years. First, a large number of tweets were manually labeled, and a Twitter stance classification model is constructed. The model then classifies all the tweets by the trading stance signal: buy, hold, or sell (EUR vs. USD). The Twitter stance is compared to the actual currency rates by applying the event study methodology, well-known in financial economics. It turns out that there are large differences in Twitter stance distribution an","authors_text":"Igor Mozeti\\v{c}, Peter Gabrov\\v{s}ek, Petra Kralj Novak","cross_cats":["cs.CL","cs.CY","econ.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-06T12:36:28Z","title":"Forex trading and Twitter: Spam, bots, and reputation manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.02233","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:294a5e8f3132ab1d1001bc7ab257efc44e61bddeb250724927ddb35533506bfe","target":"record","created_at":"2026-05-18T00:10:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"5c1994f2bbd2b1c907c32f0e3e82d2d547ae41c49f4d386e8f11b4571677bcbd","cross_cats_sorted":["cs.CL","cs.CY","econ.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2018-04-06T12:36:28Z","title_canon_sha256":"1b3bcf3bf3faa168091c125d4f06a44faa85540760e8445469052ec5024eabeb"},"schema_version":"1.0","source":{"id":"1804.02233","kind":"arxiv","version":2}},"canonical_sha256":"414ad86b4c3e0a0d12815ce1f441ad1d0d06251536fc2760869c06263e85b142","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"414ad86b4c3e0a0d12815ce1f441ad1d0d06251536fc2760869c06263e85b142","first_computed_at":"2026-05-18T00:10:16.881581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:16.881581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"auuJZ7Ksdsm2cWiNbJi8mcAtFUM9cYWZpIw4Hu47bbG3bTJqIO23E0UV5XwcMU8I/y9mAIFXtV1x2mJOGE8cCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:16.882003Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.02233","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:294a5e8f3132ab1d1001bc7ab257efc44e61bddeb250724927ddb35533506bfe","sha256:0845e4d11f60b67298d37ac2eba14cfa5fb749dbcd030e8e9870d94d4f3281f9"],"state_sha256":"6829b7ba9f2c6932b822fbe26da82e9eb74bf0f34a67a5f39ad1d7e67fa5dd65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NkU8Z/17/7hJSQBmP+hxAKPvfkxmbx2zH/hIQ4sUWU5tx3rFmZJYCyM6SRgRF5TAEBYv2W/dKJ/v0NEoTD9rAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T07:35:54.011870Z","bundle_sha256":"138e6cc7259ffde9c08a2393cb1efca47424f2ea41c38bd8075fe0041f65ed1f"}}