The Evolution of Communication Science
Updated: May 27, 2024
1 Publications
This analysis is based on:
- 474,403 peer-reviewed research articles
- published over the last century
- by 288,611 (cleaned) authors
- in the field of Communication and Media Studies and/or Screen and Digital Media
## id
## "pub.1101382661"
## title
## "The spread of true and false news online"
## abstract
## "We investigated the differential diffusion of all of the verified true and false news stories distributed on Twitter from 2006 to 2017. The data comprise ~126,000 stories tweeted by ~3 million people more than 4.5 million times. We classified news as true or false using information from six independent fact-checking organizations that exhibited 95 to 98% agreement on the classifications. Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information, and the effects were more pronounced for false political news than for false news about terrorism, natural disasters, science, urban legends, or financial information. We found that false news was more novel than true news, which suggests that people were more likely to share novel information. Whereas false stories inspired fear, disgust, and surprise in replies, true stories inspired anticipation, sadness, joy, and trust. Contrary to conventional wisdom, robots accelerated the spread of true and false news at the same rate, implying that false news spreads more than the truth because humans, not robots, are more likely to spread it."
## journal_title
## "Science"
## authors_count
## "3"
## authors
## "[{'affiliations': [{'city': 'Cambridge', 'city_id': 4931972, 'country': 'United States', 'country_code': 'US', 'id': 'grid.116068.8', 'name': 'Massachusetts Institute of Technology', 'raw_affiliation': 'Massachusetts Institute of Technology (MIT), the Media Lab, E14-526, 75 Amherst Street, Cambridge, MA 02142, USA.', 'state': 'Massachusetts', 'state_code': 'US-MA'}], 'corresponding': '', 'current_organization_id': 'grid.254880.3', 'first_name': 'Soroush', 'last_name': 'Vosoughi', 'orcid': ['0000-0002-2564-8909'], 'raw_affiliation': ['Massachusetts Institute of Technology (MIT), the Media Lab, E14-526, 75 Amherst Street, Cambridge, MA 02142, USA.'], 'researcher_id': 'ur.013403652233.39'}, {'affiliations': [{'city': 'Cambridge', 'city_id': 4931972, 'country': 'United States', 'country_code': 'US', 'id': 'grid.116068.8', 'name': 'Massachusetts Institute of Technology', 'raw_affiliation': 'Massachusetts Institute of Technology (MIT), the Media Lab, E14-526, 75 Amherst Street, Cambridge, MA 02142, USA.', 'state': 'Massachusetts', 'state_code': 'US-MA'}], 'corresponding': '', 'current_organization_id': 'grid.116068.8', 'first_name': 'Deb', 'last_name': 'Roy', 'orcid': None, 'raw_affiliation': ['Massachusetts Institute of Technology (MIT), the Media Lab, E14-526, 75 Amherst Street, Cambridge, MA 02142, USA.'], 'researcher_id': 'ur.01324034070.91'}, {'affiliations': [{'city': 'Cambridge', 'city_id': 4931972, 'country': 'United States', 'country_code': 'US', 'id': 'grid.116068.8', 'name': 'Massachusetts Institute of Technology', 'raw_affiliation': 'MIT, E62-364, 100 Main Street, Cambridge, MA 02142, USA. sinan@mit.edu.', 'state': 'Massachusetts', 'state_code': 'US-MA'}], 'corresponding': '', 'current_organization_id': 'grid.116068.8', 'first_name': 'Sinan', 'last_name': 'Aral', 'orcid': ['0000-0002-2762-058X'], 'raw_affiliation': ['MIT, E62-364, 100 Main Street, Cambridge, MA 02142, USA. sinan@mit.edu.'], 'researcher_id': 'ur.0611527454.80'}]"
## category_for
## "[{'id': '80017', 'name': '46 Information and Computing Sciences'}, {'id': '80194', 'name': '4701 Communication and Media Studies'}, {'id': '80018', 'name': '47 Language, Communication and Culture'}]"
## times_cited
## "4451"
## altmetric
## "13443"
## concepts
## "['false news', 'fact-checking organizations', 'political news', 'news stories', 'categories of information', 'false stories', 'robot', 'news', 'urban legends', 'story', 'information', 'Twitter', 'financial information', 'classification', 'legend', 'falsehood', 'people', 'natural disasters', 'truth', 'joy', 'trust', 'terrorism', 'disgust', 'replies', 'sadness', 'wisdom', 'categories', 'conventional wisdom', 'fear', 'disaster', 'novel information', 'data', 'science', 'anticipation', 'spread', 'humans', 'organization', 'rate', 'effect', 'diffusion', 'agreement', 'differential diffusion']"
## concepts_scores
## "[{'concept': 'false news', 'relevance': 0.638}, {'concept': 'fact-checking organizations', 'relevance': 0.554}, {'concept': 'political news', 'relevance': 0.52}, {'concept': 'news stories', 'relevance': 0.519}, {'concept': 'categories of information', 'relevance': 0.519}, {'concept': 'false stories', 'relevance': 0.511}, {'concept': 'robot', 'relevance': 0.507}, {'concept': 'news', 'relevance': 0.505}, {'concept': 'urban legends', 'relevance': 0.502}, {'concept': 'story', 'relevance': 0.489}, {'concept': 'information', 'relevance': 0.46}, {'concept': 'Twitter', 'relevance': 0.424}, {'concept': 'financial information', 'relevance': 0.419}, {'concept': 'classification', 'relevance': 0.399}, {'concept': 'legend', 'relevance': 0.397}, {'concept': 'falsehood', 'relevance': 0.391}, {'concept': 'people', 'relevance': 0.378}, {'concept': 'natural disasters', 'relevance': 0.373}, {'concept': 'truth', 'relevance': 0.369}, {'concept': 'joy', 'relevance': 0.368}, {'concept': 'trust', 'relevance': 0.368}, {'concept': 'terrorism', 'relevance': 0.366}, {'concept': 'disgust', 'relevance': 0.347}, {'concept': 'replies', 'relevance': 0.34}, {'concept': 'sadness', 'relevance': 0.334}, {'concept': 'wisdom', 'relevance': 0.334}, {'concept': 'categories', 'relevance': 0.321}, {'concept': 'conventional wisdom', 'relevance': 0.321}, {'concept': 'fear', 'relevance': 0.318}, {'concept': 'disaster', 'relevance': 0.307}, {'concept': 'novel information', 'relevance': 0.302}, {'concept': 'data', 'relevance': 0.293}, {'concept': 'science', 'relevance': 0.292}, {'concept': 'anticipation', 'relevance': 0.285}, {'concept': 'spread', 'relevance': 0.278}, {'concept': 'humans', 'relevance': 0.25}, {'concept': 'organization', 'relevance': 0.232}, {'concept': 'rate', 'relevance': 0.215}, {'concept': 'effect', 'relevance': 0.184}, {'concept': 'diffusion', 'relevance': 0.183}, {'concept': 'agreement', 'relevance': 0.174}, {'concept': 'differential diffusion', 'relevance': 0.148}]"
## date
## "17599"
## document_type
## "RESEARCH_ARTICLE"
## open_access
## "['oa_all', 'bronze']"
## publisher
## "American Association for the Advancement of Science (AAAS)"
## research_org_names
## "['Massachusetts Institute of Technology']"
## research_org_country_names
## "['United States']"
## reference_ids
## "['pub.1040766591', 'pub.1094044938', 'pub.1090670562', 'pub.1096025781', 'pub.1061550012', 'pub.1014017012', 'pub.1058575330', 'pub.1094581409', 'pub.1037480906', 'pub.1035882718', 'pub.1045148828', 'pub.1051002544', 'pub.1096143740', 'pub.1029510466', 'pub.1012531775', 'pub.1026968277', 'pub.1040633005', 'pub.1058847330', 'pub.1064524072', 'pub.1019417333', 'pub.1028121059', 'pub.1152417330', 'pub.1002865860', 'pub.1014684516', 'pub.1088800598', 'pub.1094041545', 'pub.1025270374', 'pub.1152418676', 'pub.1004984215', 'pub.1026070931', 'pub.1022659212', 'pub.1052867467', 'pub.1031302850', 'pub.1049599362', 'pub.1093926801', 'pub.1071225216', 'pub.1058298961', 'pub.1109722339', 'pub.1067508826', 'pub.1042827018', 'pub.1064717893', 'pub.1004776965', 'pub.1034492656', 'pub.1000184957', 'pub.1060740541', 'pub.1030168342', 'pub.1005698391', 'pub.1044416162']"
## altmetric_id
## "34105985"
## category_for_2020
## "[{'id': '80017', 'name': '46 Information and Computing Sciences'}, {'id': '80194', 'name': '4701 Communication and Media Studies'}, {'id': '80018', 'name': '47 Language, Communication and Culture'}]"
## category_uoa
## "[{'id': '30011', 'name': 'B11 Computer Science and Informatics'}]"
## date_inserted
## "17602"
## date_print
## "2018-03-09"
## dimensions_url
## "https://app.dimensions.ai/details/publication/pub.1101382661"
## doi
## "10.1126/science.aap9559"
## issn
## "['0036-8075', '1095-9203']"
## issue
## "6380"
## journal_title_raw
## "Science"
## linkout
## "https://www.science.org/doi/pdf/10.1126/science.aap9559?download=true"
## pages
## "1146-1151"
## recent_citations
## "2231"
## volume
## "359"
## year
## "2018"
## journal_id
## "jour.1346339"
## source_title_id
## "jour.1346339"
## source_title_title
## "Science"
## journal_lists
## "['VABB-SHW', 'Nature Index journals', 'ERA 2018', 'ERA 2015', 'Norwegian register level 2', 'ERA 2023', 'UGC Journal List Group II', 'ERIH PLUS', 'PubMed']"
## date_online
## NA
## research_org_cities
## "[{'id': '4931972', 'name': 'Cambridge'}]"
## research_org_countries
## "[{'id': 'US', 'name': 'United States'}]"
## research_orgs
## "[{'acronym': 'MIT', 'city_name': 'Cambridge', 'country_code': 'US', 'country_name': 'United States', 'id': 'grid.116068.8', 'latitude': 42.35982, 'linkout': ['http://web.mit.edu/'], 'longitude': -71.09211, 'name': 'Massachusetts Institute of Technology', 'state_name': 'Massachusetts', 'types': ['Education']}]"
## research_org_state_names
## "['Massachusetts']"
## researchers
## "[{'first_name': 'Soroush', 'id': 'ur.013403652233.39', 'last_name': 'Vosoughi', 'orcid_id': ['0000-0002-2564-8909'], 'research_orgs': ['grid.254880.3', 'grid.116068.8']}, {'first_name': 'Deb K', 'id': 'ur.01324034070.91', 'last_name': 'Roy', 'orcid_id': ['0000-0002-4333-7194'], 'research_orgs': ['grid.116068.8']}, {'first_name': 'Sinan K', 'id': 'ur.0611527454.80', 'last_name': 'Aral', 'orcid_id': ['0000-0002-2762-058X'], 'research_orgs': ['grid.116068.8', 'grid.137628.9']}]"
## pmcid
## NA
## pmid
## "29590045"
## category_bra
## NA
## category_hrcs_hc
## NA
## category_rcdc
## NA
## category_sdg
## "[{'id': '40016', 'name': '16 Peace, Justice and Strong Institutions'}]"
## source_title_type
## NA
## editors
## NA
## field_citation_ratio
## "2106.72"
## category_hra
## NA
## subtitles
## NA
## referenced_pubs
## "[{'doi': '10.1145/2818717', 'id': 'pub.1040766591'}, {'doi': '10.1109/hicss.2016.248', 'id': 'pub.1094044938'}, {'doi': '10.1145/3070644', 'id': 'pub.1090670562'}, {'doi': '10.18653/v1/p17-2076', 'id': 'pub.1096025781'}, {'doi': '10.1109/tcom.1967.1089532', 'id': 'pub.1061550012'}, {'doi': '10.1007/s10207-016-0321-5', 'id': 'pub.1014017012'}, {'doi': '10.1086/261849', 'id': 'pub.1058575330'}, {'doi': '10.1109/scis-isis.2012.6505254', 'id': 'pub.1094581409'}, {'doi': '10.1145/2487788.2488033', 'id': 'pub.1037480906'}, {'doi': '10.1145/1871437.1871737', 'id': 'pub.1035882718'}, {'doi': '10.1140/epjst/e2015-50319-0', 'id': 'pub.1045148828'}, {'doi': '10.1371/journal.pone.0128193', 'id': 'pub.1051002544', 'pmcid': 'PMC4471100', 'pmid': '26083336'}, {'doi': '10.1145/2872427.2882993', 'id': 'pub.1096143740'}, {'doi': '10.1509/jmr.10.0353', 'id': 'pub.1029510466'}, {'doi': '10.1007/978-3-642-20161-5_34', 'id': 'pub.1012531775'}, {'doi': '10.1111/j.1467-8640.2012.00460.x', 'id': 'pub.1026968277'}, {'doi': '10.1038/nature02043', 'id': 'pub.1040633005', 'pmid': '14574401'}, {'doi': '10.1086/661238', 'id': 'pub.1058847330'}, {'doi': '10.1257/000282803321946930', 'id': 'pub.1064524072'}, {'doi': '10.1371/journal.pone.0118093', 'id': 'pub.1019417333', 'pmcid': 'PMC4338055', 'pmid': '25706981'}, {'doi': '10.1145/2911451.2914762', 'id': 'pub.1028121059'}, {'doi': '10.1609/icwsm.v10i1.14809', 'id': 'pub.1152417330'}, {'doi': '10.1145/2740908.2742572', 'id': 'pub.1002865860'}, {'doi': '10.1145/2184319.2184338', 'id': 'pub.1014684516'}, {'doi': '10.1137/1.9781611972825.14', 'id': 'pub.1088800598'}, {'doi': '10.1109/msn.2015.36', 'id': 'pub.1094041545'}, {'doi': '10.1145/2229012.2229058', 'id': 'pub.1025270374'}, {'doi': '10.1609/icwsm.v8i1.14559', 'id': 'pub.1152418676'}, {'doi': '10.1037/h0031619', 'id': 'pub.1004984215'}, {'doi': '10.1214/aoms/1177729694', 'id': 'pub.1026070931'}, {'doi': '10.1111/coin.12024', 'id': 'pub.1022659212'}, {'doi': '10.1002/j.1538-7305.1948.tb01338.x', 'id': 'pub.1052867467'}, {'doi': '10.1145/2872518.2889302', 'id': 'pub.1031302850'}, {'doi': '10.1073/pnas.1517441113', 'id': 'pub.1049599362', 'pmcid': 'PMC4725489', 'pmid': '26729863'}, {'doi': '10.1109/hicss.2015.288', 'id': 'pub.1093926801'}, {'doi': '10.3368/jhr.50.2.317', 'id': 'pub.1071225216'}, {'doi': '10.1080/01621459.1951.10500768', 'id': 'pub.1058298961'}, {'doi': '10.1037/13978-000', 'id': 'pub.1109722339'}, {'doi': '10.1511/2001.4.344', 'id': 'pub.1067508826'}, {'doi': '10.1145/2501025.2501027', 'id': 'pub.1042827018'}, {'doi': '10.1287/mnsc.2015.2158', 'id': 'pub.1064717893'}, {'doi': '10.1145/1963405.1963500', 'id': 'pub.1004776965'}, {'doi': '10.1038/srep02980', 'id': 'pub.1034492656', 'pmcid': 'PMC3798885', 'pmid': '24135961'}, {'doi': '10.1111/1468-0068.36.s16.10', 'id': 'pub.1000184957'}, {'doi': '10.1103/physreve.81.056102', 'id': 'pub.1060740541', 'pmid': '20866292'}, {'doi': '10.1145/2736277.2741637', 'id': 'pub.1030168342'}, {'doi': '10.1016/j.visres.2008.09.007', 'id': 'pub.1005698391', 'pmcid': 'PMC2782645', 'pmid': '18834898'}, {'doi': '10.1145/1964858.1964869', 'id': 'pub.1044416162'}]"
## research_org_state_codes
## "[{'id': 'US-MA', 'name': 'Massachusetts'}]"
## category_hrcs_rac
## NA
## funder_countries
## NA
## funders
## NA
## supporting_grant_ids
## NA
## category_icrp_cso
## NA
## category_icrp_ct
## NA
## source_title_issn
## NA
## source_title_start_year
## NA
## funding_section
## NA
## acknowledgements
## "We are indebted to Twitter for providing funding and access to the data. We are also grateful to members of the MIT research community for invaluable discussions. The research was approved by the MIT institutional review board. The analysis code is freely available at https://goo.gl/forms/AKIlZujpexhN7fY33. The entire data set is also available, from the same link, upon signing an access agreement stating that (i) you shall only use the data set for the purpose of validating the results of the MIT study and for no other purpose; (ii) you shall not attempt to identify, reidentify, or otherwise deanonymize the data set; and (iii) you shall not further share, distribute, publish, or otherwise disseminate the data set. Those who wish to use the data for any other purposes can contact and make a separate agreement with Twitter."
## source_title_publisher
## NA
## mesh_terms
## NA
## relative_citation_ratio
## "53.84"1.1 Categories
ANZSRC:
SDG:
RCDC:
1.2 Most cited paper per year
1.2.1 Communication and Media Studies
1.2.2 Screen and Digital Media
1.3 Articles published per year
Communication and Media Studies:
Screen and Digital Media:
Cultural Studies:
Literary Studies:
Linguistics:
1.4 Active researchers per year
Communication and Media Studies:
Screen and Digital Media:
1.5 Collaboration
1.5.1 Authors per paper
Communication and Media Studies:
Screen and Digital Media:
1.5.2 Papers with multiple authors
Communication and Media Studies:
Screen and Digital Media:
1.6 Open access
## used (Mb) gc trigger (Mb) limit (Mb) max used (Mb)
## Ncells 3012127 160.9 17588710 939.4 NA 21985887 1174.2
## Vcells 9350147 71.4 530680253 4048.8 16384 601274765 4587.42 Grants
## Rows: 42,017
## Columns: 54
## $ id <chr> "grant.13899329", "grant.13740095", "grant.13…
## $ title <chr> "Eco-Islam in Indonesia: Media, Institutions,…
## $ abstract <chr> "In Indonesia, the world’s most populous Musl…
## $ active_year <chr> "[2024, 2025, 2026, 2027, 2028, 2029]", "[202…
## $ category_for <chr> "[{'id': '80021', 'name': '50 Philosophy and …
## $ category_for_2020 <chr> "[{'id': '80021', 'name': '50 Philosophy and …
## $ category_uoa <chr> "[{'id': '30034', 'name': 'D34 Communication,…
## $ concepts <chr> "['world’s most populous Muslim country', 'po…
## $ concepts_scores <chr> "[{'concept': 'world’s most populous Muslim c…
## $ date_inserted <date> 2024-02-25, 2023-12-03, 2023-11-10, 2023-11-…
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## $ funder_orgs <chr> "[{'acronym': 'ERC', 'city_name': 'Brussels',…
## $ funding_aud <dbl> 3198996, 88808, 293660, 3198294, 289744, 2906…
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## $ funding_currency <chr> "EUR", "USD", "EUR", "EUR", "EUR", "SEK", "US…
## $ funding_eur <dbl> 2000000, 55521, 183601, 1999555, 181153, 1817…
## $ funding_gbp <dbl> 1758658, 48821, 161439, 1758267, 159288, 1597…
## $ funding_jpy <dbl> 289643200, 8041005, 26588794, 289579328, 2623…
## $ funding_nzd <dbl> 3460354, 96063, 317651, 3459592, 313419, 3143…
## $ funding_schemes <chr> "['HORIZON.1.1 - European Research Council (E…
## $ funding_usd <dbl> 2161128, 60000, 198385, 2160652, 195740, 1963…
## $ language <chr> "en", "en", "en", "en", "en", "en", "en", "en…
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## $ linkout <chr> "https://cordis.europa.eu/project/id/10112501…
## $ original_title <chr> "Eco-Islam in Indonesia: Media, Institutions,…
## $ project_numbers <chr> "[{'label': 'Grant agreement ID', 'project_nu…
## $ research_org_cities <chr> "[{'id': '2759794', 'name': 'Amsterdam'}]", "…
## $ research_org_countries <chr> "[{'id': 'NL', 'name': 'Netherlands'}]", "[{'…
## $ research_org_names <chr> "['University of Amsterdam']", "['University …
## $ research_orgs <chr> "[{'acronym': 'UvA', 'city_name': 'Amsterdam'…
## $ score <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ start_date <date> 2024-10-01, 2024-09-01, 2024-09-01, 2024-09-…
## $ start_year <dbl> 2024, 2024, 2024, 2024, 2024, 2024, 2024, 202…
## $ funder_org_states <chr> NA, "[{'id': 'US-DC', 'name': 'District of Co…
## $ investigators <chr> NA, "[{'affiliations': [{'city': 'Chicago', '…
## $ research_org_state_codes <chr> NA, "[{'id': 'US-IL', 'name': 'Illinois'}, {'…
## $ researchers <chr> NA, "[{'first_name': 'Allyson', 'id': 'ur.010…
## $ category_hrcs_hc <chr> NA, NA, NA, "[{'id': '890', 'name': 'Generic …
## $ category_rcdc <chr> NA, NA, NA, "[{'id': '498', 'name': 'Behavior…
## $ category_bra <chr> NA, NA, NA, NA, NA, NA, NA, "[{'id': '4003', …
## $ category_hra <chr> NA, NA, NA, NA, NA, NA, NA, "[{'id': '3903', …
## $ category_sdg <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, "[{'id': …
## $ keywords <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, "['Innova…
## $ category_hrcs_rac <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
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## $ category_icrp_ct <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…2.1 Total grants by funder
Grants per year:
2.2 Total grant funding by funder
Total grant funding per year:
2.3 Average grant size
2.4 Language of grant application
3 Datasets
## Rows: 27,490
## Columns: 46
## $ id <chr> "dataset.99750", "dataset.99651", "datase…
## $ title <chr> "Artist Boss - Website & Film", "Corpus o…
## $ authors <chr> "[{'name': 'Dunseath, Jenny'}]", "[{'name…
## $ category_for <chr> "[{'id': '80007', 'name': '36 Creative Ar…
## $ category_for_2020 <chr> "[{'id': '80007', 'name': '36 Creative Ar…
## $ date <date> 2018-01-01, 2017-01-01, 2023-01-01, 2023…
## $ date_inserted <date> 2018-01-01, 2017-01-01, 2023-10-31, 2023…
## $ date_modified <date> 2020-08-28, 2020-09-18, 2023-09-22, 2023…
## $ description <chr> "Artist Boss is a creative research proje…
## $ dimensions_url <chr> "https://app.dimensions.ai/details/data_s…
## $ doi <chr> "10.17870/bathspa.7415981.v1", "10.17032/…
## $ figshare_url <chr> "https://data.bathspa.ac.uk/articles/Arti…
## $ language_desc <chr> "en", "en", "en", "en", "en", "en", "en",…
## $ language_title <chr> "en", "en", "en", "en", "en", "en", "en",…
## $ license_name <chr> "CC BY-NC-ND 4.0", "CC BY 4.0", "CC BY 4.…
## $ license_url <chr> "CC BY-NC-ND 4.0", "CC BY 4.0", "CC BY 4.…
## $ score <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ year <dbl> 2018, 2017, 2023, 2023, 2023, 2023, 2023,…
## $ repository_id <chr> "bl.bathspa", "bl.hallam", "cub.libraries…
## $ repository_name <chr> "Bath Spa University", "Sheffield Hallam …
## $ category_sdg <chr> NA, NA, "[{'id': '40013', 'name': '13 Cli…
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## $ category_hrcs_hc <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
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## $ date_embargo <date> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
4 Policy documents
## Rows: 14,568
## Columns: 35
## $ id <chr> "policy.999357", "policy.999267", "policy…
## $ title <chr> "WIRELESS STATIONS TRANSMITTING WHO RADIO…
## $ category_for <chr> "[{'id': '80007', 'name': '36 Creative Ar…
## $ category_for_2020 <chr> "[{'id': '80007', 'name': '36 Creative Ar…
## $ date_inserted <date> 2020-04-01, 2020-04-01, 2020-04-01, 2020…
## $ dimensions_url <chr> "https://app.dimensions.ai/details/policy…
## $ linkout <chr> "https://apps.who.int/iris/bitstream/hand…
## $ score <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
## $ year <dbl> 1957, 1957, 1957, 1957, 1957, 1956, 1955,…
## $ publisher_org_acronym <chr> "WHO", "WHO", "WHO", "WHO", "WHO", "WHO",…
## $ publisher_org_city_name <chr> "Geneva", "Geneva", "Geneva", "Geneva", "…
## $ publisher_org_country_code <chr> "CH", "CH", "CH", "CH", "CH", "CH", "CH",…
## $ publisher_org_country_name <chr> "Switzerland", "Switzerland", "Switzerlan…
## $ publisher_org_id <chr> "grid.3575.4", "grid.3575.4", "grid.3575.…
## $ publisher_org_latitude <dbl> 46.20176, 46.20176, 46.20176, 46.20176, 4…
## $ publisher_org_linkout <chr> "['http://www.who.int/']", "['http://www.…
## $ publisher_org_longitude <dbl> 6.146601, 6.146601, 6.146601, 6.146601, 6…
## $ publisher_org_name <chr> "World Health Organization", "World Healt…
## $ publisher_org_types <chr> "['Government']", "['Government']", "['Go…
## $ publisher_org_city_id <dbl> 2660646, 2660646, 2660646, 2660646, 26606…
## $ publisher_org_city_name_2 <chr> "Genève", "Genève", "Genève", "Genève", "…
## $ publisher_org_country_id <chr> "CH", "CH", "CH", "CH", "CH", "CH", "CH",…
## $ publisher_org_country_name_2 <chr> "Switzerland", "Switzerland", "Switzerlan…
## $ category_rcdc <chr> NA, NA, NA, NA, "[{'id': '558', 'name': '…
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## $ publication_ids <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
## $ publications <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N…
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