{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:OHQAFT47COX7I2HRRG3SNN3PXR","short_pith_number":"pith:OHQAFT47","canonical_record":{"source":{"id":"1805.12032","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-30T15:20:14Z","cross_cats_sorted":[],"title_canon_sha256":"23996bbfb828c6863d4f30a066392f3732dffbe07ded4f0e54d8d74eefe3ad24","abstract_canon_sha256":"08d7567e568991ad304d65af338c2664f0fecb0a8f85f90da1ce68faa6375e03"},"schema_version":"1.0"},"canonical_sha256":"71e002cf9f13aff468f189b726b76fbc7b5ca85e8ca158109dca17cf28ed6e14","source":{"kind":"arxiv","id":"1805.12032","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12032","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12032v1","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12032","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"pith_short_12","alias_value":"OHQAFT47COX7","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OHQAFT47COX7I2HR","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OHQAFT47","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:OHQAFT47COX7I2HRRG3SNN3PXR","target":"record","payload":{"canonical_record":{"source":{"id":"1805.12032","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-30T15:20:14Z","cross_cats_sorted":[],"title_canon_sha256":"23996bbfb828c6863d4f30a066392f3732dffbe07ded4f0e54d8d74eefe3ad24","abstract_canon_sha256":"08d7567e568991ad304d65af338c2664f0fecb0a8f85f90da1ce68faa6375e03"},"schema_version":"1.0"},"canonical_sha256":"71e002cf9f13aff468f189b726b76fbc7b5ca85e8ca158109dca17cf28ed6e14","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:35.451347Z","signature_b64":"5vLVsS83akSwB+LTn6dZPLgpA59Nm9Mxj1kn5vhTj3ZIjb1L4mHYdJnNV7+XYABkLQE26iBGwmnyyQiG52cZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71e002cf9f13aff468f189b726b76fbc7b5ca85e8ca158109dca17cf28ed6e14","last_reissued_at":"2026-05-18T00:14:35.450459Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:35.450459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.12032","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PUPk05vRE/Ff5g93DNu0tKLSlyBgeKj/XJeN/8NXhAsSeldnsI6YoBArkV5mEwbgRQhqHJ5i400a1VTsj1gzBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T08:42:16.534543Z"},"content_sha256":"81ea2a2a9836108a78aaf29edd58bf707afe6a1e75b598fc1dd33d67a2d1222b","schema_version":"1.0","event_id":"sha256:81ea2a2a9836108a78aaf29edd58bf707afe6a1e75b598fc1dd33d67a2d1222b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:OHQAFT47COX7I2HRRG3SNN3PXR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Maria Glenski, Svitlana Volkova, Tim Weninger","submitted_at":"2018-05-30T15:20:14Z","abstract_excerpt":"In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to better understand how users react to trusted and deceptive news sources across two popular, and very different, social media platforms. To that end, (1) we develop a model to classify user reactions into one of nine types, such as answer, elaboration, and question, etc, and (2) we measure the speed and the type of reaction for trusted and deceptive news sources for 10.8M Twitter posts and 6.2M Reddit comments. We sh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12032","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:14:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D4kNI/rtFhUUh12q8lnBJFZzXOYAyXZRUeUQqm2cTYl/oKifzjTr0MD4nb43FlrGiwlbPQK6ItZRM3ajMqFUCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T08:42:16.534888Z"},"content_sha256":"d48fee7ccaab700eb7cd8f242fa6343ddb25b5bf72684f25d034adf00c914e3f","schema_version":"1.0","event_id":"sha256:d48fee7ccaab700eb7cd8f242fa6343ddb25b5bf72684f25d034adf00c914e3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OHQAFT47COX7I2HRRG3SNN3PXR/bundle.json","state_url":"https://pith.science/pith/OHQAFT47COX7I2HRRG3SNN3PXR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OHQAFT47COX7I2HRRG3SNN3PXR/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":"2026-06-28T08:42:16Z","links":{"resolver":"https://pith.science/pith/OHQAFT47COX7I2HRRG3SNN3PXR","bundle":"https://pith.science/pith/OHQAFT47COX7I2HRRG3SNN3PXR/bundle.json","state":"https://pith.science/pith/OHQAFT47COX7I2HRRG3SNN3PXR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OHQAFT47COX7I2HRRG3SNN3PXR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:OHQAFT47COX7I2HRRG3SNN3PXR","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":"08d7567e568991ad304d65af338c2664f0fecb0a8f85f90da1ce68faa6375e03","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-30T15:20:14Z","title_canon_sha256":"23996bbfb828c6863d4f30a066392f3732dffbe07ded4f0e54d8d74eefe3ad24"},"schema_version":"1.0","source":{"id":"1805.12032","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.12032","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"arxiv_version","alias_value":"1805.12032v1","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.12032","created_at":"2026-05-18T00:14:35Z"},{"alias_kind":"pith_short_12","alias_value":"OHQAFT47COX7","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"OHQAFT47COX7I2HR","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"OHQAFT47","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:d48fee7ccaab700eb7cd8f242fa6343ddb25b5bf72684f25d034adf00c914e3f","target":"graph","created_at":"2026-05-18T00:14:35Z","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":"In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to better understand how users react to trusted and deceptive news sources across two popular, and very different, social media platforms. To that end, (1) we develop a model to classify user reactions into one of nine types, such as answer, elaboration, and question, etc, and (2) we measure the speed and the type of reaction for trusted and deceptive news sources for 10.8M Twitter posts and 6.2M Reddit comments. We sh","authors_text":"Maria Glenski, Svitlana Volkova, Tim Weninger","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-30T15:20:14Z","title":"Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.12032","kind":"arxiv","version":1},"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":"sha256:81ea2a2a9836108a78aaf29edd58bf707afe6a1e75b598fc1dd33d67a2d1222b","target":"record","created_at":"2026-05-18T00:14:35Z","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":"08d7567e568991ad304d65af338c2664f0fecb0a8f85f90da1ce68faa6375e03","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2018-05-30T15:20:14Z","title_canon_sha256":"23996bbfb828c6863d4f30a066392f3732dffbe07ded4f0e54d8d74eefe3ad24"},"schema_version":"1.0","source":{"id":"1805.12032","kind":"arxiv","version":1}},"canonical_sha256":"71e002cf9f13aff468f189b726b76fbc7b5ca85e8ca158109dca17cf28ed6e14","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71e002cf9f13aff468f189b726b76fbc7b5ca85e8ca158109dca17cf28ed6e14","first_computed_at":"2026-05-18T00:14:35.450459Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:35.450459Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5vLVsS83akSwB+LTn6dZPLgpA59Nm9Mxj1kn5vhTj3ZIjb1L4mHYdJnNV7+XYABkLQE26iBGwmnyyQiG52cZDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:35.451347Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.12032","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81ea2a2a9836108a78aaf29edd58bf707afe6a1e75b598fc1dd33d67a2d1222b","sha256:d48fee7ccaab700eb7cd8f242fa6343ddb25b5bf72684f25d034adf00c914e3f"],"state_sha256":"5d1fe4f05927b0eb53fdd42f0518a417c72adfeb85582f766a6a0c2d208b4c8a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ry1iusXIKw8a3EH5+FiqWNst1QhQuigoPbAvYaRvMPhHnvxpSIFFOIodGoegdf2eQFFbqDynOnIEViZM0R2BDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T08:42:16.536868Z","bundle_sha256":"81c5f644d4f23ef6566a977bc24ee32cf6730e066544811b7a0785483c32e511"}}