{"id":"https://openalex.org/W4392490376","doi":"https://doi.org/10.1145/3613904.3642117","title":"Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language","display_name":"Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language","publication_year":2024,"publication_date":"2024-05-11","ids":{"openalex":"https://openalex.org/W4392490376","doi":"https://doi.org/10.1145/3613904.3642117"},"language":"en","primary_location":{"id":"doi:10.1145/3613904.3642117","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613904.3642117","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613904.3642117","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613904.3642117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101762391","display_name":"Xiaohan Ding","orcid":"https://orcid.org/0009-0003-2679-3344"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaohan Ding","raw_affiliation_strings":["Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094077483","display_name":"Buse Carik","orcid":"https://orcid.org/0000-0002-4511-5827"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Buse Carik","raw_affiliation_strings":["Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007678199","display_name":"Uma Sushmitha Gunturi","orcid":"https://orcid.org/0000-0002-2045-0792"},"institutions":[{"id":"https://openalex.org/I4210105642","display_name":"International Bluegrass Music Association","ror":"https://ror.org/01e9djz97","country_code":"US","type":"other","lineage":["https://openalex.org/I4210105642"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uma Sushmitha Gunturi","raw_affiliation_strings":["IBM, United States and IBM, United States"],"affiliations":[{"raw_affiliation_string":"IBM, United States and IBM, United States","institution_ids":["https://openalex.org/I4210105642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004562983","display_name":"Valerie F. Reyna","orcid":"https://orcid.org/0000-0003-2851-5797"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valerie Reyna","raw_affiliation_strings":["Human Neuroscience Institute, Cornell University, United States and Human Neuroscience Institute, Cornell University, United States"],"affiliations":[{"raw_affiliation_string":"Human Neuroscience Institute, Cornell University, United States and Human Neuroscience Institute, Cornell University, United States","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054447687","display_name":"Eugenia Ha Rim Rho","orcid":"https://orcid.org/0000-0002-0961-4397"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugenia Ha Rim Rho","raw_affiliation_strings":["Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science, Virginia Tech, United States and Computer Science, Virginia Tech, United States","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101762391"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":10.381,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.97889177,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9866999983787537,"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":0.9843000173568726,"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/social-media","display_name":"Social media","score":0.7115190029144287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6656627655029297},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.5354326963424683},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.390921026468277},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3541686534881592},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33654117584228516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3351874351501465},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19461461901664734},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13469639420509338}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7115190029144287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6656627655029297},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.5354326963424683},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.390921026468277},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3541686534881592},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33654117584228516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3351874351501465},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19461461901664734},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13469639420509338},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3613904.3642117","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613904.3642117","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613904.3642117","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2403.00994","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.00994","pdf_url":"https://arxiv.org/pdf/2403.00994","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/119262","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/119262","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/86b322f1-099d-4c05-a50e-35635b4d3a27/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3613904.3642117","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613904.3642117","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613904.3642117","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392490376.pdf","grobid_xml":"https://content.openalex.org/works/W4392490376.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W1098261954","https://openalex.org/W1523207696","https://openalex.org/W1607114662","https://openalex.org/W1805352934","https://openalex.org/W1880262756","https://openalex.org/W2009588584","https://openalex.org/W2061152947","https://openalex.org/W2123408538","https://openalex.org/W2136023023","https://openalex.org/W2161741964","https://openalex.org/W2171476028","https://openalex.org/W2232425180","https://openalex.org/W2251541206","https://openalex.org/W2373136715","https://openalex.org/W2416513196","https://openalex.org/W2604213426","https://openalex.org/W2627315765","https://openalex.org/W2763148304","https://openalex.org/W2781033360","https://openalex.org/W2796189892","https://openalex.org/W2796252761","https://openalex.org/W2902756944","https://openalex.org/W2915097566","https://openalex.org/W2924156792","https://openalex.org/W2933294645","https://openalex.org/W2950290340","https://openalex.org/W2954211942","https://openalex.org/W2955064062","https://openalex.org/W2964034671","https://openalex.org/W2982279682","https://openalex.org/W2994659735","https://openalex.org/W2996037649","https://openalex.org/W2997400962","https://openalex.org/W3016313295","https://openalex.org/W3016654988","https://openalex.org/W3016902371","https://openalex.org/W3034080988","https://openalex.org/W3034436077","https://openalex.org/W3044537354","https://openalex.org/W3045045932","https://openalex.org/W3085110439","https://openalex.org/W3089624653","https://openalex.org/W3112582887","https://openalex.org/W3112800536","https://openalex.org/W3123829608","https://openalex.org/W3126402231","https://openalex.org/W3127039061","https://openalex.org/W3128126711","https://openalex.org/W3133818858","https://openalex.org/W3135745926","https://openalex.org/W3159086726","https://openalex.org/W3163191083","https://openalex.org/W3172806051","https://openalex.org/W3198460693","https://openalex.org/W3200270739","https://openalex.org/W3202875110","https://openalex.org/W3203321135","https://openalex.org/W3206571420","https://openalex.org/W3207099276","https://openalex.org/W3210788891","https://openalex.org/W3212587822","https://openalex.org/W3214556172","https://openalex.org/W3216533479","https://openalex.org/W4220747294","https://openalex.org/W4220949352","https://openalex.org/W4221143046","https://openalex.org/W4224793475","https://openalex.org/W4225012671","https://openalex.org/W4225012803","https://openalex.org/W4225080353","https://openalex.org/W4283033817","https://openalex.org/W4283332184","https://openalex.org/W4283463474","https://openalex.org/W4285738329","https://openalex.org/W4287555100","https://openalex.org/W4288253152","https://openalex.org/W4294646788","https://openalex.org/W4307857575","https://openalex.org/W4361791341","https://openalex.org/W4366527501","https://openalex.org/W4366547688","https://openalex.org/W4366548479","https://openalex.org/W4366591012","https://openalex.org/W4366729084","https://openalex.org/W4367046582","https://openalex.org/W4375870056","https://openalex.org/W4380302231","https://openalex.org/W4380792494","https://openalex.org/W4384520752","https://openalex.org/W4384662964"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4382894326","https://openalex.org/W3035105474","https://openalex.org/W4205698903","https://openalex.org/W4294968941","https://openalex.org/W4283819461","https://openalex.org/W4390279739","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3087333412"],"abstract_inverted_index":{"We":[0,70],"introduce":[1,42],"a":[2,47],"multi-step":[3],"reasoning":[4],"framework":[5],"using":[6],"prompt-based":[7,48,133],"LLMs":[8,134],"to":[9,51,117,124],"examine":[10],"the":[11,30,95,115,130,144],"relationship":[12],"between":[13],"social":[14,120],"media":[15,121],"language":[16],"patterns":[17,123,140],"and":[18,82,108],"trends":[19,104],"in":[20,25,37,135],"national":[21,102],"health":[22,39,66,103,127,148],"outcomes.":[23],"Grounded":[24],"fuzzy-trace":[26],"theory,":[27],"which":[28],"emphasizes":[29],"importance":[31],"of":[32,34,97,132,146],"\u201cgists\u201d":[33],"causal":[35],"coherence":[36],"effective":[38],"communication,":[40],"we":[41,57,92],"Role-Based":[43],"Incremental":[44],"Coaching":[45],"(RBIC),":[46],"LLM":[49],"framework,":[50],"identify":[52],"gists":[53,60,75,98],"at-scale.":[54],"Using":[55],"RBIC,":[56],"systematically":[58],"extract":[59],"from":[61],"subreddit":[62],"discussions":[63],"opposing":[64],"COVID-19":[65],"measures":[67],"(Study":[68,80,89,110],"1).":[69],"then":[71],"track":[72],"how":[73,94],"these":[74],"evolve":[76],"across":[77],"key":[78],"events":[79],"2)":[81],"assess":[83],"their":[84],"influence":[85],"on":[86],"online":[87,138],"engagement":[88],"3).":[90],"Finally,":[91],"investigate":[93],"volume":[96],"is":[99,114],"associated":[100],"with":[101],"like":[105],"vaccine":[106],"uptake":[107],"hospitalizations":[109],"4).":[111],"Our":[112],"work":[113],"first":[116],"empirically":[118],"link":[119],"linguistic":[122],"real-world":[125],"public":[126,147],"trends,":[128],"highlighting":[129],"potential":[131],"identifying":[136],"critical":[137],"discussion":[139],"that":[141],"can":[142],"form":[143],"basis":[145],"communication":[149],"strategies.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
