{"id":"https://openalex.org/W4388268769","doi":"https://doi.org/10.1145/3615335.3623024","title":"The Potentials and Pitfalls of Computer Visioning and Machine Learning Methods for Communication Researchers","display_name":"The Potentials and Pitfalls of Computer Visioning and Machine Learning Methods for Communication Researchers","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4388268769","doi":"https://doi.org/10.1145/3615335.3623024"},"language":"en","primary_location":{"id":"doi:10.1145/3615335.3623024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615335.3623024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM International Conference on Design of Communication","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083003076","display_name":"Stephen Carrad\u0131n\u0131","orcid":"https://orcid.org/0000-0001-6805-6279"},"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":"Stephen Carradini","raw_affiliation_strings":["Arizona State University, USA"],"raw_orcid":"https://orcid.org/0000-0001-6805-6279","affiliations":[{"raw_affiliation_string":"Arizona State University, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084461604","display_name":"Claire Lauer","orcid":"https://orcid.org/0000-0002-2715-1832"},"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":"Claire Lauer","raw_affiliation_strings":["Arizona State University, USA"],"raw_orcid":"https://orcid.org/0000-0002-2715-1832","affiliations":[{"raw_affiliation_string":"Arizona State University, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056758296","display_name":"Eric C. Nystrom","orcid":"https://orcid.org/0000-0002-4176-7414"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Nystrom","raw_affiliation_strings":["University of Nevada, Reno, USA"],"raw_orcid":"https://orcid.org/0000-0002-4176-7414","affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9405999779701233,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9308000206947327,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8304904699325562},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.7100046277046204},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.607117772102356},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.512923002243042},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5116291642189026},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5004637241363525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4910550117492676},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4701027274131775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4529303014278412},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12121853232383728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8304904699325562},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7100046277046204},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.607117772102356},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.512923002243042},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5116291642189026},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5004637241363525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4910550117492676},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4701027274131775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4529303014278412},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12121853232383728},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615335.3623024","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615335.3623024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st ACM International Conference on Design of Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2054901814","https://openalex.org/W2115860093","https://openalex.org/W2122315836","https://openalex.org/W2343234953","https://openalex.org/W2498253155","https://openalex.org/W2520300089","https://openalex.org/W2595457065","https://openalex.org/W2748155493","https://openalex.org/W2887800732","https://openalex.org/W2889433965","https://openalex.org/W2897674311","https://openalex.org/W2904542630","https://openalex.org/W2991970757","https://openalex.org/W3085042828","https://openalex.org/W3089937117","https://openalex.org/W3100800971","https://openalex.org/W3107737386","https://openalex.org/W3108245346","https://openalex.org/W3134769581","https://openalex.org/W3194007629","https://openalex.org/W4210540566","https://openalex.org/W4210614090","https://openalex.org/W4293918026","https://openalex.org/W4323857826","https://openalex.org/W4385427944","https://openalex.org/W4385574957"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2898732673","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W3134658850","https://openalex.org/W2410053581","https://openalex.org/W2383658677"],"abstract_inverted_index":{"This":[0],"paper":[1],"will":[2,58],"discuss":[3,192],"the":[4,21,71,98,104,146,206],"potentials":[5],"and":[6,12,70,97,166,202],"pitfalls":[7],"for":[8,63,103,159],"incorporating":[9],"computer":[10,80,156],"visioning":[11,157],"machine":[13,40],"learning":[14,41],"in":[15,32,53,79,84,87,128],"technical":[16,160,165],"communication":[17,161,194],"research.":[18],"We":[19,109,143,191],"share":[20],"results":[22],"of":[23,73,131,140,155,205,208],"a":[24,60,74,85,93,126,134,137],"case":[25],"study":[26],"our":[27,33,149],"research":[28,162],"team":[29],"engaged":[30,83],"with":[31,55,77,136],"attempt":[34],"to":[35,91,106,182],"demonstrate":[36],"an":[37],"affordable,":[38],"easy-to-use":[39],"method":[42],"that":[43,48,118,152,179],"can":[44,175],"be":[45],"formalized":[46],"so":[47],"researchers":[49,195],"who":[50],"are":[51,180],"interested":[52],"working":[54],"bigger":[56],"datasets":[57,201],"have":[59],"road":[61],"map":[62],"doing":[64],"so.":[65],"Using":[66],"standard":[67],"computing":[68],"power":[69],"insight":[72],"graduate":[75],"student":[76],"experience":[78],"visioning,":[81],"we":[82,89,170],"process":[86,107],"which":[88],"tried":[90],"achieve":[92,177,183],"balance":[94],"between":[95],"accuracy":[96,113],"time":[99],"it":[100,174],"would":[101],"take":[102],"system":[105],"images.":[108],"achieved":[110],"99.2%":[111],"test":[112],"on":[114,145],"correctly":[115],"identifying":[116],"visuals":[117],"were":[119],"not":[120],"graphs.":[121],"Yet":[122],"this":[123],"optimization":[124],"required":[125],"tradeoff":[127],"correct":[129],"identification":[130],"what":[132,193,203],"was":[133],"graph,":[135],"success":[138],"rate":[139],"under":[141],"4%.":[142],"reflect":[144],"conclusions":[147],"from":[148],"research,":[150],"suggesting":[151],"successful":[153],"implementation":[154],"tools":[158],"requires":[163],"more":[164],"chronological":[167],"planning":[168],"than":[169],"had":[171],"hoped,":[172],"but":[173],"still":[176],"things":[178],"impossible":[181],"through":[184],"individual":[185],"or":[186],"even":[187],"team-based":[188],"human":[189],"computation.":[190],"should":[196],"consider":[197],"when":[198],"processing":[199],"massive":[200],"some":[204],"limitations":[207],"these":[209],"methods":[210],"are.":[211]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
