{"id":"https://openalex.org/W2250436829","doi":"https://doi.org/10.1145/2740908.2741992","title":"Online Experiments for Computational Social Science","display_name":"Online Experiments for Computational Social Science","publication_year":2015,"publication_date":"2015-05-18","ids":{"openalex":"https://openalex.org/W2250436829","doi":"https://doi.org/10.1145/2740908.2741992","mag":"2250436829"},"language":"en","primary_location":{"id":"doi:10.1145/2740908.2741992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2741992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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/A5006700143","display_name":"Eytan Bakshy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eytan Bakshy","raw_affiliation_strings":["Facebook, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033495203","display_name":"Sean J. Taylor","orcid":"https://orcid.org/0000-0002-7436-1656"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean J. Taylor","raw_affiliation_strings":["Facebook, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Facebook, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006700143"],"corresponding_institution_ids":["https://openalex.org/I4210099336","https://openalex.org/I4210114444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11544615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1543","last_page":"1543"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.7807000279426575,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.7807000279426575,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10487","display_name":"Plant and animal studies","score":0.7432000041007996,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"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/T13283","display_name":"Mental Health Research Topics","score":0.7260000109672546,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8431137204170227},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5929681658744812},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5892254710197449},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5444934368133545},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47051185369491577},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4500190019607544},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.4353962540626526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.306303471326828},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2707708775997162},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14982986450195312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8431137204170227},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5929681658744812},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5892254710197449},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5444934368133545},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47051185369491577},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4500190019607544},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.4353962540626526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.306303471326828},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2707708775997162},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14982986450195312},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2740908.2741992","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2740908.2741992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th International Conference on World Wide Web","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W4287027380","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W2505261959"],"abstract_inverted_index":{"Experiments":[0],"are":[1],"the":[2,37,63,83,180,190,217,228],"gold":[3],"standard":[4],"for":[5,32,65,120,200],"establishing":[6],"causal":[7,59,96],"relationships.":[8],"While":[9],"Web-based":[10],"experiments":[11,114],"(\"A/B":[12],"tests\")":[13],"have":[14,28],"routinely":[15],"been":[16],"used":[17,124],"to":[18,45,74,94,109,131],"assess":[19],"alternative":[20],"ranking":[21],"models":[22],"or":[23],"user":[24],"interface":[25],"designs,":[26,142],"they":[27],"become":[29],"increasingly":[30],"popular":[31],"answering":[33],"important":[34],"questions":[35],"in":[36,58,87,179,227],"social":[38,155],"sciences.":[39],"This":[40],"tutorial":[41,191],"teaches":[42],"attendees":[43,219],"how":[44,108,130,151],"design,":[46],"plan,":[47],"implement,":[48],"and":[49,61,82,100,111,161,165,176,182,197,209,213,225,231,240],"analyze":[50],"online":[51,113,122,202],"experiments.":[52,66,148,185],"First,":[53],"we":[54,68,187],"review":[55],"basic":[56,71,138],"concepts":[57],"inference":[60],"motivate":[62],"need":[64],"Then":[67],"will":[69,128,188,220],"discuss":[70,91,107,172],"statistical":[72,92],"tools":[73],"help":[75],"plan":[76,164],"experiments:":[77],"exploratory":[78],"analysis,":[79],"power":[80],"calculations,":[81],"use":[84],"of":[85,98,135,184,195,233],"simulation":[86],"R.":[88,241],"We":[89,105,127,149,170],"then":[90,106,162,171],"methods":[93,199],"estimate":[95],"quantities":[97],"interest":[99],"construct":[101],"appropriate":[102],"confidence":[103],"intervals.":[104],"design":[110],"implement":[112,132,166],"using":[115,237],"PlanOut,":[116,239],"an":[117,167],"open-source":[118],"toolkit":[119],"advanced":[121],"experimentation":[123],"at":[125],"Facebook.":[126],"show":[129],"a":[133,193,234],"variety":[134],"experiments,":[136,203],"including":[137,204],"A/B":[139],"tests,":[140],"within-subjects":[141],"as":[143,145],"well":[144],"more":[146],"sophisticated":[147],"demonstrate":[150],"experimental":[152],"designs":[153],"from":[154],"computing":[156],"literature":[157],"can":[158],"be":[159,221],"implemented,":[160],"collaboratively":[163],"experiment":[168],"together.":[169],"issues":[173],"with":[174,192,206,211],"logging":[175],"common":[177],"errors":[178],"deployment":[181],"analysis":[183,232],"Finally,":[186],"conclude":[189],"discussion":[194],"strategies":[196],"scalable":[198],"analyzing":[201],"working":[205],"weighted":[207],"data,":[208],"data":[210],"single":[212],"multi-way":[214],"dependence.":[215],"Throughout":[216],"tutorial,":[218],"given":[222],"code":[223],"examples":[224],"participate":[226],"planning,":[229],"implementation,":[230],"Web":[235],"application":[236],"Python,":[238]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}