{"id":"https://openalex.org/W4229068698","doi":"https://doi.org/10.25300/misq/2022/15336","title":"Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach","display_name":"Understanding Medication Nonadherence from Social Media: A Sentiment-Enriched Deep Learning Approach","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4229068698","doi":"https://doi.org/10.25300/misq/2022/15336"},"language":"en","primary_location":{"id":"doi:10.25300/misq/2022/15336","is_oa":false,"landing_page_url":"https://doi.org/10.25300/misq/2022/15336","pdf_url":null,"source":{"id":"https://openalex.org/S57293258","display_name":"MIS Quarterly","issn_l":"0276-7783","issn":["0276-7783","2162-9730"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4327875293","host_organization_name":"MIS Quarterly","host_organization_lineage":["https://openalex.org/P4327875293"],"host_organization_lineage_names":["MIS Quarterly"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIS Quarterly","raw_type":"journal-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/A5101803810","display_name":"Jiaheng Xie","orcid":"https://orcid.org/0000-0001-9415-3726"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaheng Xie","raw_affiliation_strings":["Department of Accounting and Management Information Systems, Lerner College of Business & Economics, University of Delaware, Newark, DE, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting and Management Information Systems, Lerner College of Business & Economics, University of Delaware, Newark, DE, U.S.A","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441033","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0001-8277-4701"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Department of Information Systems, W. P. Carey School of Business, Arizona State University, Tempe, AZ, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, W. P. Carey School of Business, Arizona State University, Tempe, AZ, U.S.A","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038521974","display_name":"Daniel Zeng","orcid":"https://orcid.org/0000-0002-9046-222X"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel Dajun Zeng","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, and University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, and University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078410186","display_name":"Xiao Fang","orcid":"https://orcid.org/0000-0002-9429-5748"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Fang","raw_affiliation_strings":["Department of Accounting and Management Information Systems, Lerner College of Business & Economics, University of Delaware, Newark, DE, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting and Management Information Systems, Lerner College of Business & Economics, University of Delaware, Newark, DE, U.S.A","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0769,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97415987,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"46","issue":"1","first_page":"341","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.979200005531311,"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/T10737","display_name":"Health Literacy and Information Accessibility","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7377108335494995},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5887210369110107},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5874645113945007},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.574190080165863},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5155284404754639},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4707629978656769},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4520180821418762},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4328690767288208},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.38708019256591797},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3595709800720215},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3548358082771301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31193405389785767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31190991401672363},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.21730312705039978},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.14707764983177185},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.12323656678199768},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10655418038368225}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7377108335494995},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5887210369110107},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5874645113945007},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.574190080165863},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5155284404754639},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4707629978656769},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4520180821418762},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4328690767288208},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.38708019256591797},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3595709800720215},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3548358082771301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31193405389785767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31190991401672363},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.21730312705039978},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.14707764983177185},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12323656678199768},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10655418038368225},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.25300/misq/2022/15336","is_oa":false,"landing_page_url":"https://doi.org/10.25300/misq/2022/15336","pdf_url":null,"source":{"id":"https://openalex.org/S57293258","display_name":"MIS Quarterly","issn_l":"0276-7783","issn":["0276-7783","2162-9730"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4327875293","host_organization_name":"MIS Quarterly","host_organization_lineage":["https://openalex.org/P4327875293"],"host_organization_lineage_names":["MIS Quarterly"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MIS Quarterly","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W113522833","https://openalex.org/W1276866904","https://openalex.org/W1447019041","https://openalex.org/W1501960888","https://openalex.org/W1565251461","https://openalex.org/W1593502373","https://openalex.org/W1984959392","https://openalex.org/W1985949001","https://openalex.org/W1992937533","https://openalex.org/W1995130964","https://openalex.org/W2004444024","https://openalex.org/W2009556891","https://openalex.org/W2016997160","https://openalex.org/W2061738385","https://openalex.org/W2064842021","https://openalex.org/W2068181924","https://openalex.org/W2072322795","https://openalex.org/W2072773013","https://openalex.org/W2087327436","https://openalex.org/W2089084955","https://openalex.org/W2092073019","https://openalex.org/W2092182190","https://openalex.org/W2095752327","https://openalex.org/W2096307087","https://openalex.org/W2099813784","https://openalex.org/W2101761001","https://openalex.org/W2102717737","https://openalex.org/W2108323654","https://openalex.org/W2108335620","https://openalex.org/W2109711517","https://openalex.org/W2112852886","https://openalex.org/W2123049012","https://openalex.org/W2134429551","https://openalex.org/W2141975087","https://openalex.org/W2153673727","https://openalex.org/W2163107094","https://openalex.org/W2163459391","https://openalex.org/W2163922914","https://openalex.org/W2164422986","https://openalex.org/W2189360217","https://openalex.org/W2241565897","https://openalex.org/W2250619635","https://openalex.org/W2251756410","https://openalex.org/W2270470215","https://openalex.org/W2294143381","https://openalex.org/W2341482796","https://openalex.org/W2427312199","https://openalex.org/W2472293985","https://openalex.org/W2520497278","https://openalex.org/W2537504396","https://openalex.org/W2554367394","https://openalex.org/W2573153646","https://openalex.org/W2604629933","https://openalex.org/W2753754638","https://openalex.org/W2795084954","https://openalex.org/W2803758083","https://openalex.org/W2803901985","https://openalex.org/W2889387953","https://openalex.org/W2896457183","https://openalex.org/W2913957005","https://openalex.org/W2962902328","https://openalex.org/W2963625095","https://openalex.org/W2972348894","https://openalex.org/W3100270690","https://openalex.org/W3124387699","https://openalex.org/W3141964932","https://openalex.org/W3151685851","https://openalex.org/W4413427422","https://openalex.org/W6628566866","https://openalex.org/W6633463174","https://openalex.org/W6635446811","https://openalex.org/W6636095811","https://openalex.org/W6636301117","https://openalex.org/W6636510571","https://openalex.org/W6668118554","https://openalex.org/W6675802400","https://openalex.org/W6676794857","https://openalex.org/W6678193448","https://openalex.org/W6678885109","https://openalex.org/W6681623766","https://openalex.org/W6681759985","https://openalex.org/W6682222278","https://openalex.org/W6682691769","https://openalex.org/W6683557909","https://openalex.org/W6685810106","https://openalex.org/W6691307185","https://openalex.org/W6691322844","https://openalex.org/W6691342357","https://openalex.org/W6691399001","https://openalex.org/W6691431627","https://openalex.org/W6691447974","https://openalex.org/W6691678659","https://openalex.org/W6691713525","https://openalex.org/W6697155078","https://openalex.org/W6704020794","https://openalex.org/W6720133668","https://openalex.org/W6725097900","https://openalex.org/W6725474846","https://openalex.org/W6729752019","https://openalex.org/W6729990682","https://openalex.org/W6732001033","https://openalex.org/W6733065424","https://openalex.org/W6738964360","https://openalex.org/W6762720655","https://openalex.org/W6765116407"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2548633793","https://openalex.org/W2043093291"],"abstract_inverted_index":{"Medication":[0],"nonadherence":[1],"(MNA)":[2],"can":[3,64],"lead":[4],"to":[5,37,117,173],"serious":[6],"health":[7,40,192],"ramifications":[8],"and":[9,31,41,59,69,100,121,135,145,185,194],"costs":[10],"U.S.":[11],"healthcare":[12],"systems":[13],"$290":[14],"billion":[15],"annually.":[16],"Understanding":[17],"the":[18,32,71,101,191,198],"reasons":[19,123],"underlying":[20],"patients\u2019":[21],"MNA":[22,82,162],"is":[23],"thus":[24],"an":[25,146],"urgent":[26],"goal":[27],"for":[28,124,182,190,195],"researchers,":[29],"practitioners,":[30],"pharmaceutical":[33],"industry":[34,193],"in":[35,80],"order":[36],"mitigate":[38],"negative":[39,95],"economic":[42],"consequences.":[43],"In":[44],"recent":[45],"years,":[46],"patient":[47,98],"engagement":[48],"on":[49,94],"social":[50],"media":[51],"sites":[52],"has":[53],"soared,":[54],"making":[55],"it":[56],"a":[57,111,137,141,178],"cost-efficient":[58],"rich":[60],"information":[61],"source":[62],"that":[63],"complement":[65],"prior":[66],"survey":[67],"studies":[68,83],"deepen":[70],"understanding":[72],"of":[73,85,103,139,143,149,161,200],"MNA.":[74,125],"Yet":[75],"these":[76,119],"data":[77],"remain":[78],"untapped":[79],"existing":[81],"because":[84],"technical":[86],"challenges":[87,120],"such":[88],"as":[89],"long":[90],"texts,":[91],"decision-making":[92],"based":[93],"sentiment,":[96],"varied":[97],"vocabulary,":[99],"scarcity":[102],"relevant":[104],"information.":[105],"For":[106],"this":[107],"study,":[108],"we":[109],"developed":[110],"sentiment-enriched":[112],"deep":[113],"learning":[114],"method":[115],"(SEDEL)":[116],"address":[118],"extract":[122],"We":[126,157],"evaluated":[127],"SEDEL":[128,151],"using":[129],"53,180":[130],"reviews":[131],"concerning":[132],"180":[133],"drugs":[134],"achieved":[136],"precision":[138],"89.25%,":[140],"recall":[142],"88.48%,":[144],"F1":[147],"score":[148],"88.86%.":[150],"significantly":[152],"outperformed":[153],"state-of-the-art":[154],"baseline":[155],"models.":[156],"identified":[158],"nine":[159],"categories":[160],"reasons,":[163],"which":[164],"were":[165],"verified":[166],"by":[167,176,186],"domain":[168],"experts.":[169],"This":[170],"study":[171],"contributes":[172],"IS":[174],"research":[175],"devising":[177],"novel":[179],"deep-learning-based":[180],"approach":[181],"reason":[183],"mining":[184],"providing":[187],"direct":[188],"implications":[189],"practitioners":[196],"regarding":[197],"design":[199],"interventions.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}