{"id":"https://openalex.org/W2003625437","doi":"https://doi.org/10.1145/2512875.2512881","title":"Will your facebook post be engaging?","display_name":"Will your facebook post be engaging?","publication_year":2013,"publication_date":"2013-10-29","ids":{"openalex":"https://openalex.org/W2003625437","doi":"https://doi.org/10.1145/2512875.2512881","mag":"2003625437"},"language":"en","primary_location":{"id":"doi:10.1145/2512875.2512881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2512875.2512881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st workshop on User engagement optimization","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/A5059650977","display_name":"B. Srinivasan","orcid":"https://orcid.org/0000-0002-3118-5779"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Balaji Vasan Srinivasan","raw_affiliation_strings":["Adobe Research India Labs, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Adobe Research India Labs, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004672532","display_name":"Anandhavelu Natarajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anandhavelu Natarajan","raw_affiliation_strings":["Adobe Research India Labs, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Adobe Research India Labs, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056964468","display_name":"Ritwik Sinha","orcid":"https://orcid.org/0000-0002-0344-1368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ritwik Sinha","raw_affiliation_strings":["Adobe Research India Labs, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Adobe Research India Labs, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101874606","display_name":"Vineet Gupta","orcid":"https://orcid.org/0000-0002-4096-2533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vineet Gupta","raw_affiliation_strings":["Adobe Research India Labs, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Adobe Research India Labs, Bangalore, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012680492","display_name":"Shriram Revankar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shriram Revankar","raw_affiliation_strings":["Adobe Research India Labs, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Adobe Research India Labs, Bangalore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009374923","display_name":"Balaraman Ravindran","orcid":"https://orcid.org/0000-0002-5364-7639"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balaraman Ravindran","raw_affiliation_strings":["Indian Institute of Technology, Madras, India","Indian Institute of Technology, Madras, India;"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Madras, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Indian Institute of Technology, Madras, India;","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059650977"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2494,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.55741452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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":0.7410929203033447},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7278091907501221},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4814138412475586},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4687281847000122},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.45966944098472595},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4286850690841675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4184926748275757},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.39618635177612305},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3893873691558838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3249335289001465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410929203033447},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7278091907501221},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4814138412475586},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4687281847000122},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.45966944098472595},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4286850690841675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4184926748275757},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39618635177612305},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3893873691558838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3249335289001465},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"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/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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2512875.2512881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2512875.2512881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st workshop on User engagement optimization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1576520375","https://openalex.org/W2035720976","https://openalex.org/W2070771761","https://openalex.org/W2128583507","https://openalex.org/W2135731857","https://openalex.org/W2141499038","https://openalex.org/W2307230282","https://openalex.org/W2325343629","https://openalex.org/W2950627632"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2012531322","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Social":[0],"media":[1,118],"has":[2],"become":[3],"the":[4,15,20,25,44,84,97,100,103,109,134,139,143,158,173],"ideal":[5],"platform":[6],"for":[7,39,95],"promotional":[8],"activities":[9],"of":[10,17,61,99,141,160,162],"organizations.":[11],"However,":[12],"due":[13],"to":[14,33,42,65,120,154,178,183],"volatility":[16],"social":[18,53,71,117],"media,":[19],"wrong":[21,26],"message":[22],"posted":[23],"at":[24],"time":[27],"can":[28,57],"result":[29],"in":[30,116,181],"significant":[31],"damage":[32],"hard-built":[34],"brand":[35,64,66],"image.":[36],"This":[37,107],"calls":[38],"a":[40,46,51,62,92,121],"mechanism":[41],"gauge":[43],"reactions":[45],"post":[47,104],"will":[48,171],"evoke":[49],"from":[50,59,87,168],"given":[52],"community.":[54],"The":[55],"community":[56,101],"vary":[58],"customers":[60],"particular":[63],"loyalists":[67],"interacting":[68],"through":[69],"its":[70],"pages":[72],"(for":[73],"example,":[74],"on":[75,82,165],"Facebook).":[76],"In":[77],"this":[78],"paper,":[79],"we":[80,125,137],"focus":[81],"learning":[83,153],"community's":[85],"reaction":[86,98,131],"past":[88],"posts":[89,115],"and":[90,152,176,187],"providing":[91],"predictive":[93],"model":[94],"gauging":[96],"before":[102],"is":[105],"published.":[106],"helps":[108],"marketer":[110],"take":[111],"better-informed":[112],"decisions.":[113],"Short-text":[114],"leads":[119],"sparse":[122],"feature":[123,135],"space,":[124],"propose":[126],"additional":[127],"meta-features":[128],"that":[129],"improve":[130],"modeling.":[132],"Given":[133],"representation,":[136],"discuss":[138,172],"possibility":[140],"casting":[142],"underlying":[144],"problem":[145],"under":[146],"different":[147],"paradigms":[148,164],"-":[149],"classification,":[150],"regression":[151],"rank.":[155],"We":[156,170],"study":[157],"performances":[159],"each":[161],"these":[163],"real":[166],"data":[167],"Facebook.":[169],"challenges":[174],"involved,":[175],"ways":[177],"mitigate":[179],"them,":[180],"addition":[182],"our":[184],"observations,":[185],"results":[186],"insights.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}