{"id":"https://openalex.org/W2954840684","doi":"https://doi.org/10.1145/3320435.3320467","title":"Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction","display_name":"Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction","publication_year":2019,"publication_date":"2019-06-07","ids":{"openalex":"https://openalex.org/W2954840684","doi":"https://doi.org/10.1145/3320435.3320467","mag":"2954840684"},"language":"en","primary_location":{"id":"doi:10.1145/3320435.3320467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320435.3320467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051536706","display_name":"Michal Shmueli-Scheuer","orcid":"https://orcid.org/0000-0002-6386-8726"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Michal Shmueli-Scheuer","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071893787","display_name":"Jonathan Herzig","orcid":"https://orcid.org/0009-0000-7227-6557"},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Jonathan Herzig","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083688475","display_name":"David Konopnicki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167297","display_name":"IBM Research - Haifa","ror":"https://ror.org/05rw9t746","country_code":"IL","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210167297"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Konopnicki","raw_affiliation_strings":["IBM Research, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"IBM Research, Haifa, Israel","institution_ids":["https://openalex.org/I4210167297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019921628","display_name":"Tommy Sandbank","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tommy Sandbank","raw_affiliation_strings":["Similari, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Similari, Tel-Aviv, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051536706"],"corresponding_institution_ids":["https://openalex.org/I4210167297"],"apc_list":null,"apc_paid":null,"fwci":1.0128,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82631526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/persuasion","display_name":"Persuasion","score":0.9195732474327087},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.8122101426124573},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.7830826640129089},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.7086988687515259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891413927078247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3849618136882782},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3209655284881592},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.2827296853065491},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2671089768409729}],"concepts":[{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.9195732474327087},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.8122101426124573},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.7830826640129089},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.7086988687515259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891413927078247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3849618136882782},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3209655284881592},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2827296853065491},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2671089768409729},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3320435.3320467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320435.3320467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1974268640","https://openalex.org/W1981807176","https://openalex.org/W2023214797","https://openalex.org/W2099465598","https://openalex.org/W2101422898","https://openalex.org/W2133473033","https://openalex.org/W2151051036","https://openalex.org/W2151248888","https://openalex.org/W2466953548","https://openalex.org/W2514580187","https://openalex.org/W2518510348","https://openalex.org/W2562847678","https://openalex.org/W2578254412","https://openalex.org/W2728407379","https://openalex.org/W2804152211","https://openalex.org/W2930957955","https://openalex.org/W2949541494","https://openalex.org/W2962852048","https://openalex.org/W2964134597","https://openalex.org/W3100111242","https://openalex.org/W3102677333","https://openalex.org/W4300827275"],"related_works":["https://openalex.org/W1193337282","https://openalex.org/W1662240627","https://openalex.org/W2161303371","https://openalex.org/W3169835994","https://openalex.org/W1546646725","https://openalex.org/W1974065322","https://openalex.org/W1536610849","https://openalex.org/W1480504010","https://openalex.org/W649012515","https://openalex.org/W3111677877"],"abstract_inverted_index":{"Persuasion":[0],"is":[1],"one":[2,17],"of":[3,25,69,80],"the":[4,23,26,42],"most":[5],"frequent,":[6],"albeit":[7],"challenging,":[8],"tasks":[9],"in":[10],"human":[11],"interaction.":[12,64],"In":[13,30],"a":[14,77],"textual":[15,38],"argument,":[16],"party":[18,28],"(author)":[19],"aims":[20],"to":[21,35,74],"change":[22],"view":[24],"other":[27],"(reader).":[29],"this":[31],"paper,":[32],"we":[33,49,85],"propose":[34],"detect":[36],"persuasive":[37],"arguments":[39,84],"while":[40],"considering":[41],"parties":[43],"personality":[44,60],"traits.":[45],"We":[46],"find":[47],"that":[48,57],"can":[50],"substantially":[51],"improve":[52],"accuracy":[53],"by":[54],"introducing":[55],"features":[56],"capture":[58],"author-reader":[59],"traits":[61],"and":[62],"their":[63],"Our":[65],"model":[66],"improves":[67],"performance":[68],"state-of-the-art":[70],"baselines":[71],"from":[72],"66%":[73],"71%":[75],"on":[76],"new":[78],"dataset":[79],"more":[81],"than":[82],"19K":[83],"collected.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
