{"id":"https://openalex.org/W2297170704","doi":"https://doi.org/10.1145/2896338.2897734","title":"Towards Bottom-Up Analysis of Social Food","display_name":"Towards Bottom-Up Analysis of Social Food","publication_year":2016,"publication_date":"2016-04-11","ids":{"openalex":"https://openalex.org/W2297170704","doi":"https://doi.org/10.1145/2896338.2897734","mag":"2297170704"},"language":"en","primary_location":{"id":"doi:10.1145/2896338.2897734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2896338.2897734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Digital Health Conference","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/A5073611054","display_name":"Jaclyn Rich","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jaclyn Rich","raw_affiliation_strings":["Queen Mary University of London, Lonon, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, Lonon, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043326652","display_name":"Hamed Haddadi","orcid":"https://orcid.org/0000-0002-5895-8903"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hamed Haddadi","raw_affiliation_strings":["Queen Mary University of London, Lonon, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, Lonon, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy M. Hospedales","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073611054"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":4.1644,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92451695,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11584","display_name":"Biochemical Analysis and Sensing Techniques","score":0.925000011920929,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9083999991416931,"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":0.7302894592285156},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6672419309616089},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.587230384349823},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5819913744926453},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.5210803747177124},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4798511862754822},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.46748560667037964},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.43005478382110596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41388845443725586},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4121444821357727},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3779078722000122},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3196628987789154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28502047061920166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16179978847503662},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.0790950357913971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302894592285156},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6672419309616089},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.587230384349823},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5819913744926453},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.5210803747177124},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4798511862754822},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.46748560667037964},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.43005478382110596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41388845443725586},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4121444821357727},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3779078722000122},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3196628987789154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28502047061920166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16179978847503662},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0790950357913971},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2896338.2897734","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2896338.2897734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Digital Health Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/17d78479-9767-4b45-8269-05099bc426e6","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/17d78479-9767-4b45-8269-05099bc426e6","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/12139","is_oa":false,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/12139","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W64813323","https://openalex.org/W84786028","https://openalex.org/W1050379706","https://openalex.org/W1528802670","https://openalex.org/W1566135517","https://openalex.org/W1964763677","https://openalex.org/W1971455648","https://openalex.org/W1972626837","https://openalex.org/W1974289028","https://openalex.org/W1975544514","https://openalex.org/W1982635469","https://openalex.org/W2001488574","https://openalex.org/W2030801043","https://openalex.org/W2108598243","https://openalex.org/W2118585731","https://openalex.org/W2167104246","https://openalex.org/W2170494295","https://openalex.org/W2337567602","https://openalex.org/W2559096420","https://openalex.org/W2599272240","https://openalex.org/W2962762541","https://openalex.org/W2962835968","https://openalex.org/W2973562770","https://openalex.org/W3001645704"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W159653547","https://openalex.org/W4320073971","https://openalex.org/W2407569377","https://openalex.org/W2234238252","https://openalex.org/W4320063274","https://openalex.org/W2049798948","https://openalex.org/W3148919209","https://openalex.org/W3151710375","https://openalex.org/W2065099951"],"abstract_inverted_index":{"Social":[0],"media":[1],"provide":[2],"a":[3,14,116],"wealth":[4],"of":[5,17,34,70,86,108,124,177],"information":[6],"for":[7,173],"research":[8],"into":[9],"public":[10],"health":[11],"by":[12],"providing":[13],"rich":[15],"mix":[16],"personal":[18],"data,":[19],"location,":[20],"hashtags,":[21,80],"and":[22,55,77,91,126,168,171,180],"social":[23,37,56,133],"network":[24,57,134],"information.":[25],"Among":[26],"these,":[27],"Instagram":[28,71],"has":[29],"been":[30],"recently":[31],"the":[32,53,64,75,78,84,92,106,122,165,181],"subject":[33],"many":[35],"computational":[36],"science":[38],"studies.":[39],"However":[40],"despite":[41,158],"Instagram's":[42],"focus":[43],"on":[44,52],"image":[45,76,113,156,178],"sharing,":[46],"most":[47],"studies":[48],"have":[49],"exclusively":[50],"focused":[51],"hashtag":[54],"structure.":[58],"In":[59,102],"this":[60],"paper":[61],"we":[62,104,137],"perform":[63],"first":[65],"large":[66],"scale":[67],"content":[68,85,114,179],"analysis":[69,176],"posts,":[72],"addressing":[73],"both":[74,121],"associated":[79],"aiming":[81],"to":[82,110,128,142,183],"understand":[83],"partially-labelled":[87],"images":[88],"taken":[89],"in-the-wild":[90],"relationship":[93],"with":[94],"hashtags":[95],"that":[96,139],"individuals":[97],"use":[98],"as":[99],"noisy":[100],"labels.":[101],"particular,":[103],"explore":[105],"possibility":[107],"learning":[109],"recognise":[111,129],"food":[112,143],"in":[115,152],"data":[117],"driven":[118],"way,":[119],"discovering":[120],"categories":[123],"food,":[125],"how":[127],"them,":[130],"purely":[131],"from":[132],"data.":[135],"Notably,":[136],"demonstrate":[138],"our":[140],"approach":[141],"recognition":[144],"can":[145],"often":[146],"achieve":[147],"accuracies":[148],"greater":[149],"than":[150],"70%":[151],"recognising":[153],"popular":[154],"food-related":[155],"categories,":[157],"using":[159],"no":[160],"manual":[161],"annotation.":[162],"We":[163],"highlight":[164],"current":[166],"capabilities":[167],"future":[169],"challenges":[170],"opportunities":[172],"such":[174],"data-driven":[175],"relation":[182],"hashtags.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}