{"id":"https://openalex.org/W1995358441","doi":"https://doi.org/10.1145/2531602.2531623","title":"Characterizing the life cycle of online news stories using social media reactions","display_name":"Characterizing the life cycle of online news stories using social media reactions","publication_year":2014,"publication_date":"2014-02-07","ids":{"openalex":"https://openalex.org/W1995358441","doi":"https://doi.org/10.1145/2531602.2531623","mag":"1995358441"},"language":"en","primary_location":{"id":"doi:10.1145/2531602.2531623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2531602.2531623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1304.3010","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Carlos Castillo","orcid":null},"institutions":[{"id":"https://openalex.org/I1301390666","display_name":"Qatar Airways (Qatar)","ror":"https://ror.org/01hx00y13","country_code":"QA","type":"company","lineage":["https://openalex.org/I1301390666"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Carlos Castillo","raw_affiliation_strings":["Qatar Computing Research Institute, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute, Doha, Qatar","institution_ids":["https://openalex.org/I1301390666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohammed El-Haddad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed El-Haddad","raw_affiliation_strings":["Al Jazeera English, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Al Jazeera English, Doha, Qatar","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"J\u00fcrgen Pfeffer","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Pfeffer","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":null,"display_name":"Matt Stempeck","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matt Stempeck","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1301390666"],"apc_list":null,"apc_paid":null,"fwci":9.3893,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98484338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12478","display_name":"Wikis in Education and Collaboration","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7718999981880188},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6061000227928162},{"id":"https://openalex.org/keywords/qualitative-analysis","display_name":"Qualitative analysis","score":0.48399999737739563},{"id":"https://openalex.org/keywords/news-media","display_name":"News media","score":0.4424999952316284},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4025999903678894},{"id":"https://openalex.org/keywords/computational-sociology","display_name":"Computational sociology","score":0.3003000020980835},{"id":"https://openalex.org/keywords/social-life","display_name":"Social life","score":0.29750001430511475}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7718999981880188},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751000046730042},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.48399999737739563},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4555000066757202},{"id":"https://openalex.org/C529147693","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"News media","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.33390000462532043},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C126349790","wikidata":"https://www.wikidata.org/wiki/Q905036","display_name":"Computational sociology","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C2992884035","wikidata":"https://www.wikidata.org/wiki/Q7551229","display_name":"Social life","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2831000089645386},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27300000190734863},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C87156501","wikidata":"https://www.wikidata.org/wiki/Q7268708","display_name":"Qualitative property","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C2987491872","wikidata":"https://www.wikidata.org/wiki/Q1990987","display_name":"Social analysis","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2531602.2531623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2531602.2531623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1304.3010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1304.3010","pdf_url":"https://arxiv.org/pdf/1304.3010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.800.5729","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.800.5729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mattstempeck.com/portfolio/wp-content/uploads/2013/08/Characterizing-the-Life-Cycle-of-Online-News-Stories-Using-Social-Media-Reactions.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1304.3010","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1304.3010","pdf_url":"https://arxiv.org/pdf/1304.3010","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W147543278","https://openalex.org/W1970777322","https://openalex.org/W1982381099","https://openalex.org/W1987986834","https://openalex.org/W2000139610","https://openalex.org/W2009763341","https://openalex.org/W2020221730","https://openalex.org/W2037970810","https://openalex.org/W2042034885","https://openalex.org/W2045989637","https://openalex.org/W2058465497","https://openalex.org/W2065659485","https://openalex.org/W2091317512","https://openalex.org/W2096135266","https://openalex.org/W2109603058","https://openalex.org/W2112056172","https://openalex.org/W2116657421","https://openalex.org/W2119114394","https://openalex.org/W2145446394","https://openalex.org/W2149355000","https://openalex.org/W2170755015","https://openalex.org/W3125952634"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,76,82],"study":[4],"of":[5,9,43,84,120,139,149,153],"the":[6,16,105,114,125,147,150],"life":[7],"cycle":[8],"news":[10,27,79,156],"articles":[11,85,108],"posted":[12],"online.":[13],"We":[14,29,45,61,96,141],"describe":[15,143],"interplay":[17],"between":[18],"website":[19],"visitation":[20,56],"patterns":[21,57],"and":[22,59,91],"social":[23,49,93,121],"media":[24,50,94,122],"reactions":[25,51],"to":[26,39,102,117,134],"content.":[28],"show":[30,97],"that":[31,48,98],"we":[32],"can":[33,52],"use":[34],"this":[35],"hybrid":[36],"observation":[37],"method":[38],"characterize":[40],"distinct":[41],"classes":[42],"articles.":[44],"also":[46,142],"find":[47],"help":[53],"predict":[54],"future":[55],"early":[58,151],"accurately.":[60],"validate":[62],"our":[63],"methods":[64],"using":[65],"qualitative":[66],"analysis":[67,72],"as":[68,70],"well":[69],"quantitative":[71],"on":[73,146],"data":[74],"from":[75],"large":[77],"international":[78],"network,":[80],"for":[81,136,155],"set":[83],"generating":[86],"more":[87],"than":[88],"3,000,000":[89],"visits":[90,130],"200,000":[92],"reactions.":[95,123],"it":[99],"is":[100],"possible":[101],"model":[103],"accurately":[104],"overall":[106],"traffic":[107],"will":[109],"ultimately":[110],"receive":[111],"by":[112],"observing":[113],"first":[115],"ten":[116],"twenty":[118],"minutes":[119],"Achieving":[124],"same":[126],"prediction":[127,152],"accuracy":[128,148],"with":[129],"alone":[131],"would":[132],"require":[133],"wait":[135],"three":[137],"hours":[138],"data.":[140],"significant":[144],"improvements":[145],"shelf-life":[154],"stories.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":20},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}