{"id":"https://openalex.org/W4408363856","doi":"https://doi.org/10.1140/epjds/s13688-025-00538-w","title":"Using semantic similarity to measure the echo of strategic communications","display_name":"Using semantic similarity to measure the echo of strategic communications","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408363856","doi":"https://doi.org/10.1140/epjds/s13688-025-00538-w"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-025-00538-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00538-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00538-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00538-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049662407","display_name":"Tristan J. B. Cann","orcid":"https://orcid.org/0000-0002-0672-091X"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tristan J. B. Cann","raw_affiliation_strings":["Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074377249","display_name":"Ben Dennes","orcid":null},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ben Dennes","raw_affiliation_strings":["Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060009020","display_name":"Travis Coan","orcid":"https://orcid.org/0000-0002-4587-3396"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Travis Coan","raw_affiliation_strings":["Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","Department of Politics, University of Exeter, Exeter, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Climate Communication and Data Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]},{"raw_affiliation_string":"Department of Politics, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071226975","display_name":"Saffron O\u2019Neill","orcid":"https://orcid.org/0000-0002-9062-6247"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Saffron O\u2019Neill","raw_affiliation_strings":["Department of Geography, University of Exeter, Exeter, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029718403","display_name":"Hywel T. P. Williams","orcid":"https://orcid.org/0000-0002-5927-3367"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hywel T. P. Williams","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, UK","institution_ids":["https://openalex.org/I23923803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23923803"],"apc_list":{"value":1190,"currency":"GBP","value_usd":1459},"apc_paid":{"value":1190,"currency":"GBP","value_usd":1459},"fwci":15.5581,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9880349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"14","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11121","display_name":"Public Relations and Crisis Communication","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9941999912261963,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9846000075340271,"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/measure","display_name":"Measure (data warehouse)","score":0.7990599274635315},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.6570823192596436},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5425030589103699},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5373960733413696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5368744730949402},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5122853517532349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41404831409454346},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40336668491363525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20469331741333008},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12554913759231567}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7990599274635315},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.6570823192596436},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5425030589103699},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5373960733413696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5368744730949402},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5122853517532349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41404831409454346},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40336668491363525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20469331741333008},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12554913759231567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1140/epjds/s13688-025-00538-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00538-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00538-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b650122ab2304eb98645d528bbe66640","is_oa":true,"landing_page_url":"https://doaj.org/article/b650122ab2304eb98645d528bbe66640","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 14, Iss 1, Pp 1-19 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-025-00538-w","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-025-00538-w","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-025-00538-w","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4196963514","display_name":null,"funder_award_id":"2210-08101","funder_id":"https://openalex.org/F4320312037","funder_display_name":"Children's Investment Fund Foundation"}],"funders":[{"id":"https://openalex.org/F4320312037","display_name":"Children's Investment Fund Foundation","ror":"https://ror.org/00jfgrn87"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408363856.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1995358441","https://openalex.org/W2046622454","https://openalex.org/W2126649129","https://openalex.org/W2291469954","https://openalex.org/W2605286186","https://openalex.org/W2620358387","https://openalex.org/W2780410304","https://openalex.org/W2804502241","https://openalex.org/W2806347998","https://openalex.org/W2908781890","https://openalex.org/W2970641574","https://openalex.org/W3047056223","https://openalex.org/W3086647969","https://openalex.org/W3103442714","https://openalex.org/W3171946428","https://openalex.org/W3175765954","https://openalex.org/W4206660322","https://openalex.org/W4230383827","https://openalex.org/W4284899401","https://openalex.org/W4301401335","https://openalex.org/W4310283106","https://openalex.org/W4381282454","https://openalex.org/W4406647033"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2114797768","https://openalex.org/W1983228818","https://openalex.org/W2380654781","https://openalex.org/W2163064108","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2176214140","https://openalex.org/W4399930146"],"abstract_inverted_index":{"Abstract":[0],"Many":[1],"actors":[2],"use":[3],"strategic":[4,100],"communications":[5],"to":[6,27,55,98],"impact":[7,30,76,110],"media":[8,22,53,60,85],"debates":[9],"through":[10],"targeted":[11],"messages":[12,51,106],"and":[13,18,52],"campaigns,":[14],"but":[15],"the":[16,29,57,75],"scale":[17],"diversity":[19],"of":[20,31,49,77,96],"online":[21,112],"content":[23,54],"make":[24],"it":[25],"difficult":[26],"evaluate":[28],"a":[32,42,63,93,108],"particular":[33,64],"message":[34,65],"or":[35],"campaign.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"present":[41],"new":[43],"technique":[44],"that":[45,103],"leverages":[46],"semantic":[47],"similarity":[48],"actor":[50],"quantify":[56],"change":[58],"in":[59],"discourse":[61],"after":[62],"has":[66],"been":[67],"published.":[68],"We":[69],"demonstrate":[70],"our":[71],"approach":[72],"by":[73],"measuring":[74],"press":[78],"releases":[79],"from":[80],"environmentally-active":[81],"organisations":[82],"on":[83,111],"social":[84],"discussions":[86],"about":[87],"climate":[88],"change.":[89],"Our":[90],"results":[91],"show":[92],"heavy-tailed":[94],"distribution":[95],"responses":[97],"these":[99],"communications,":[101],"suggesting":[102],"relatively":[104],"few":[105],"have":[107],"substantive":[109],"discourse.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}