{"id":"https://openalex.org/W2734873886","doi":"https://doi.org/10.18653/v1/w17-2908","title":"Linguistic Markers of Influence in Informal Interactions","display_name":"Linguistic Markers of Influence in Informal Interactions","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2734873886","doi":"https://doi.org/10.18653/v1/w17-2908","mag":"2734873886"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-2908","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2908","pdf_url":"https://www.aclweb.org/anthology/W17-2908.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-2908.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000188096","display_name":"Shrimai Prabhumoye","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shrimai Prabhumoye","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067594311","display_name":"Samridhi Choudhary","orcid":"https://orcid.org/0000-0003-3706-7260"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samridhi Choudhary","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","Amazon (United States), Seattle, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Amazon (United States), Seattle, United States","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055466746","display_name":"Evangelia Spiliopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelia Spiliopoulou","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","Georgia Institute of Technology, Atlanta, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, United States","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026486394","display_name":"Christopher Bogart","orcid":"https://orcid.org/0000-0001-8581-115X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Bogart","raw_affiliation_strings":["Institute for Software Research Carnegie Mellon University Pittsburgh, PA 15213","Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Institute for Software Research Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":[]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089539629","display_name":"Carolyn Penstein Ros\u00e9","orcid":"https://orcid.org/0000-0003-1128-5155"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carolyn Rose","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107337645","display_name":"Alan W. Black","orcid":"https://orcid.org/0000-0001-8820-8831"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan W Black","raw_affiliation_strings":["Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","Carnegie Mellon University, Pittsburgh, United States"],"affiliations":[{"raw_affiliation_string":"Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000188096"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.22917964,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61062128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"62"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9873999953269958,"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/T13155","display_name":"Digital Communication and Language","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/operationalization","display_name":"Operationalization","score":0.9373190402984619},{"id":"https://openalex.org/keywords/interpersonal-communication","display_name":"Interpersonal communication","score":0.6322034597396851},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.5431761145591736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5342003703117371},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44008946418762207},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43067365884780884},{"id":"https://openalex.org/keywords/interpersonal-interaction","display_name":"Interpersonal interaction","score":0.420584499835968},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4180297255516052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39694494009017944},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3738582134246826},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.3249123692512512},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.2800363302230835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16856780648231506},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.15266981720924377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09333965182304382}],"concepts":[{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.9373190402984619},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.6322034597396851},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5431761145591736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5342003703117371},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44008946418762207},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43067365884780884},{"id":"https://openalex.org/C2992801459","wikidata":"https://www.wikidata.org/wiki/Q223642","display_name":"Interpersonal interaction","level":2,"score":0.420584499835968},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4180297255516052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39694494009017944},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3738582134246826},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3249123692512512},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2800363302230835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16856780648231506},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.15266981720924377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09333965182304382},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w17-2908","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2908","pdf_url":"https://www.aclweb.org/anthology/W17-2908.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.04546","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.04546","pdf_url":"https://arxiv.org/pdf/1707.04546","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2734873886","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1707.04546.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1707.04546","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.04546","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-2908","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2908","pdf_url":"https://www.aclweb.org/anthology/W17-2908.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"},{"id":"https://metadata.un.org/sdg/10","score":0.41999998688697815,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2734873886.pdf","grobid_xml":"https://content.openalex.org/works/W2734873886.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1814023381","https://openalex.org/W1985741469","https://openalex.org/W1990513740","https://openalex.org/W2038180800","https://openalex.org/W2096563449","https://openalex.org/W2099813784","https://openalex.org/W2112959503","https://openalex.org/W2271245358","https://openalex.org/W2608560640"],"related_works":["https://openalex.org/W2296233877","https://openalex.org/W3001278423","https://openalex.org/W2801926392","https://openalex.org/W1492253218","https://openalex.org/W2314952629","https://openalex.org/W2081055851","https://openalex.org/W2020231876","https://openalex.org/W2144198563","https://openalex.org/W2106968553","https://openalex.org/W2479913168","https://openalex.org/W2979675033","https://openalex.org/W2016391356","https://openalex.org/W332542762","https://openalex.org/W2908160670","https://openalex.org/W2584724376","https://openalex.org/W2900581106","https://openalex.org/W2063535377","https://openalex.org/W2783339056","https://openalex.org/W3121613807","https://openalex.org/W2970144633"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"a":[3,24],"long":[4],"standing":[5],"interest":[6],"in":[7,12,16,33,53,80],"understanding":[8],"`Social":[9],"Influence'":[10],"both":[11],"Social":[13],"Sciences":[14],"and":[15,29,65,100],"Computational":[17],"Linguistics.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22,43],"present":[23,59],"novel":[25],"approach":[26],"to":[27,45,63,103],"study":[28],"measure":[30],"interpersonal":[31],"influence":[32,85,104],"daily":[34],"interactions.":[35],"Motivated":[36],"by":[37,86],"the":[38,51,60,67,74,81,91,95,98],"basic":[39],"principles":[40],"of":[41,50,84,97],"influence,":[42],"attempt":[44],"identify":[46],"indicative":[47],"linguistic":[48],"features":[49,76],"posts":[52,68],"an":[54,78],"online":[55],"knitting":[56],"community.":[57],"We":[58],"scheme":[61],"used":[62],"operationalize":[64],"label":[66],"with":[69,73],"indicator":[70],"features.":[71],"Experiments":[72],"identified":[75],"show":[77],"improvement":[79],"classification":[82],"accuracy":[83],"3.15%.":[87],"Our":[88],"results":[89],"illustrate":[90],"important":[92],"correlation":[93],"between":[94],"characteristics":[96],"language":[99],"its":[101],"potential":[102],"others.":[105]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
