{"id":"https://openalex.org/W2274158969","doi":"https://doi.org/10.1145/2808797.2809403","title":"Little Bad Concerns","display_name":"Little Bad Concerns","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W2274158969","doi":"https://doi.org/10.1145/2808797.2809403","mag":"2274158969"},"language":"en","primary_location":{"id":"doi:10.1145/2808797.2809403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","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/A5025085845","display_name":"Jana Diesner","orcid":"https://orcid.org/0000-0001-8183-7109"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jana Diesner","raw_affiliation_strings":["GSLIS -- The iSchool at Illinois and Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"GSLIS -- The iSchool at Illinois and Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025826212","display_name":"Craig Evans","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig S. Evans","raw_affiliation_strings":["GSLIS -- The iSchool at Illinois and Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"GSLIS -- The iSchool at Illinois and Illinois Informatics Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025085845"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":3.0201,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92837196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.7342253923416138},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.6662781834602356},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5768865346908569},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5325853824615479},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5188168883323669},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5030485987663269},{"id":"https://openalex.org/keywords/empirical-evidence","display_name":"Empirical evidence","score":0.4421751797199249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35457512736320496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3524649143218994},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33954763412475586},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.337321013212204},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12530159950256348},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10624587535858154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342253923416138},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.6662781834602356},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5768865346908569},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5325853824615479},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5188168883323669},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5030485987663269},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.4421751797199249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35457512736320496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3524649143218994},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33954763412475586},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.337321013212204},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12530159950256348},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10624587535858154},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808797.2809403","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306318","display_name":"Duke Energy","ror":"https://ror.org/030r69d22"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W594952564","https://openalex.org/W651840729","https://openalex.org/W1540934181","https://openalex.org/W1980949197","https://openalex.org/W1985643839","https://openalex.org/W2022204871","https://openalex.org/W2022302676","https://openalex.org/W2053081145","https://openalex.org/W2063596712","https://openalex.org/W2097606805","https://openalex.org/W2097726431","https://openalex.org/W2114051435","https://openalex.org/W2115864612","https://openalex.org/W2136151826","https://openalex.org/W2137618025","https://openalex.org/W2142517301","https://openalex.org/W2152815769","https://openalex.org/W2232208664","https://openalex.org/W2340125239","https://openalex.org/W4205184193","https://openalex.org/W6677415927"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2364921833","https://openalex.org/W1525643724","https://openalex.org/W2067938758","https://openalex.org/W2382623646","https://openalex.org/W3087771547","https://openalex.org/W2333420780","https://openalex.org/W2375199418","https://openalex.org/W2368437561","https://openalex.org/W3208546928"],"abstract_inverted_index":{"We":[0,27,127,180],"present":[1],"and":[2,41,60,79,100,117,148,166,237],"test":[3,128],"a":[4,177,189,199,230],"scalable":[5],"approach":[6,56,130],"for":[7,46,68,75,95],"assigning":[8],"valence":[9,105,120],"to":[10,35,135,214,234],"links":[11],"in":[12,24,71,112,154,176,223],"unsigned":[13],"graphs":[14],"with":[15,103,247],"the":[16,36,93,137,149],"ultimate":[17],"goal":[18],"of":[19,38,140,173,192,202,207,229],"enabling":[20],"triadic":[21],"balanced":[22,208],"assessment":[23],"communication":[25,39,87],"networks.":[26],"do":[28],"this":[29,129],"by":[30],"applying":[31],"domain-adjusted":[32],"sentiment":[33,44,153,161],"analysis":[34],"content":[37],"data":[40,111,121,134,147],"translating":[42],"aggregated":[43],"scores":[45],"information":[47],"exchanged":[48],"between":[49],"network":[50],"members":[51],"into":[52],"link":[53,66],"signs.":[54],"This":[55],"facilitates":[57],"fast,":[58],"informed":[59],"systematic":[61],"balance":[62],"testing":[63,78],"(we":[64],"generate":[65],"signs":[67],"166,670":[69],"triads":[70,209,216],"our":[72],"data);":[73],"allowing":[74],"empirical":[76,245],"hypothesis":[77],"theory":[80],"building":[81],"based":[82,143],"on":[83,131,144,152],"current":[84],"or":[85,108,125],"archival":[86],"data.":[88],"The":[89,205,226],"proposed":[90],"technique":[91],"eliminates":[92],"need":[94],"manually":[96],"labeling":[97],"text":[98],"data,":[99],"overcomes":[101],"limitations":[102],"inferring":[104],"from":[106,185,198],"self-reported":[107],"user-generated":[109],"(meta-)":[110],"situations":[113],"where":[114],"historical":[115],"context":[116],"ground":[118],"truth":[119],"might":[122],"be":[123],"unavailable":[124],"limited.":[126],"corporate":[132,178,224],"email":[133],"complement":[136],"large":[138],"amount":[139],"prior":[141],"work":[142],"social":[145],"media":[146],"limited":[150],"knowledge":[151],"professional":[155],"settings.":[156],"Our":[157],"results":[158],"suggest":[159],"that":[160,182],"is":[162,168],"overall":[163],"slightly":[164],"positive":[165,193],"emotionality":[167],"low,":[169],"which":[170],"reflects":[171],"conventions":[172],"language":[174],"use":[175],"environment.":[179],"observe":[181],"people":[183],"draw":[184],"(the":[186],"top":[187],"of)":[188],"smaller":[190],"pool":[191],"terms":[194],"more":[195,244],"frequently":[196],"than":[197],"larger":[200],"set":[201],"negative":[203],"terms.":[204],"ratio":[206],"(on":[210],"average":[211],"about":[212],"88%)":[213],"unbalanced":[215],"(12%)":[217],"remains":[218],"relatively":[219],"stable":[220],"despite":[221],"changes":[222],"performance.":[225],"labor-intense":[227],"adjustment":[228],"given":[231],"lexical":[232],"resource":[233],"some":[235],"dataset":[236],"domain":[238],"pays":[239],"off":[240],"as":[241],"it":[242],"generates":[243],"evidence":[246],"lower":[248],"variance.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}