{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:XXLCT6VFMJQPYXBDMPCIGYF34W","short_pith_number":"pith:XXLCT6VF","schema_version":"1.0","canonical_sha256":"bdd629faa56260fc5c2363c48360bbe5a4251593abefe2bee42d6625a151071c","source":{"kind":"arxiv","id":"1803.02952","version":2},"attestation_state":"computed","paper":{"title":"Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Anbang Xu, Jiebo Luo, Quanzeng You, Rama Akkiraju, Tianran Hu, Vibha Sinha, Yufan Guo, Zhe Liu","submitted_at":"2018-03-08T03:18:41Z","abstract_excerpt":"Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a key to impact user experience - tones. In this work, we create a novel tone-aware chatbot that generates toned responses to user requests on social media. We first conduct a formative research, in which the effects of tones are studied. Significant and various influences of different tones on user experience are uncovered in the study. With the knowledge of effects of tones, we design a deep learning based chatbot tha"},"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":"1803.02952","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2018-03-08T03:18:41Z","cross_cats_sorted":[],"title_canon_sha256":"9cf6b51a8da18e078f2b8c70aaea789aa62a4e659bdaf14549e69e2275bf490b","abstract_canon_sha256":"85cade2f743c8a9f8e2db7746de476ac57941e25e6d68615d15ef7e62763d57d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:55.542058Z","signature_b64":"SpjvA1P3fTDuMSv54zlburaizPaVT4enjG6kc6bK10VeTGFT1P3tmW0+YE2i9R0W7KHc0Q5sKYVnNwjWVjcMCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bdd629faa56260fc5c2363c48360bbe5a4251593abefe2bee42d6625a151071c","last_reissued_at":"2026-05-18T00:20:55.541551Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:55.541551Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Anbang Xu, Jiebo Luo, Quanzeng You, Rama Akkiraju, Tianran Hu, Vibha Sinha, Yufan Guo, Zhe Liu","submitted_at":"2018-03-08T03:18:41Z","abstract_excerpt":"Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a key to impact user experience - tones. In this work, we create a novel tone-aware chatbot that generates toned responses to user requests on social media. We first conduct a formative research, in which the effects of tones are studied. Significant and various influences of different tones on user experience are uncovered in the study. With the knowledge of effects of tones, we design a deep learning based chatbot tha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.02952","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":"1803.02952","created_at":"2026-05-18T00:20:55.541648+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.02952v2","created_at":"2026-05-18T00:20:55.541648+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.02952","created_at":"2026-05-18T00:20:55.541648+00:00"},{"alias_kind":"pith_short_12","alias_value":"XXLCT6VFMJQP","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"XXLCT6VFMJQPYXBD","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"XXLCT6VF","created_at":"2026-05-18T12:33:04.347982+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/XXLCT6VFMJQPYXBDMPCIGYF34W","json":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W.json","graph_json":"https://pith.science/api/pith-number/XXLCT6VFMJQPYXBDMPCIGYF34W/graph.json","events_json":"https://pith.science/api/pith-number/XXLCT6VFMJQPYXBDMPCIGYF34W/events.json","paper":"https://pith.science/paper/XXLCT6VF"},"agent_actions":{"view_html":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W","download_json":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W.json","view_paper":"https://pith.science/paper/XXLCT6VF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.02952&json=true","fetch_graph":"https://pith.science/api/pith-number/XXLCT6VFMJQPYXBDMPCIGYF34W/graph.json","fetch_events":"https://pith.science/api/pith-number/XXLCT6VFMJQPYXBDMPCIGYF34W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W/action/storage_attestation","attest_author":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W/action/author_attestation","sign_citation":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W/action/citation_signature","submit_replication":"https://pith.science/pith/XXLCT6VFMJQPYXBDMPCIGYF34W/action/replication_record"}},"created_at":"2026-05-18T00:20:55.541648+00:00","updated_at":"2026-05-18T00:20:55.541648+00:00"}