An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method Article Swipe
Deepika Varshney
,
Dinesh Kumar Vishwakarma
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.datak.2022.102103
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.datak.2022.102103
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.datak.2022.102103
- OA Status
- green
- Cited By
- 9
- References
- 65
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3206154643
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3206154643Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.datak.2022.102103Digital Object Identifier
- Title
-
An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble methodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-11Full publication date if available
- Authors
-
Deepika Varshney, Dinesh Kumar VishwakarmaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.datak.2022.102103Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/9650682Direct OA link when available
- Concepts
-
Misinformation, Computer science, Social media, World Wide Web, Headline, Voting, Data science, Information retrieval, Computer security, Philosophy, Politics, Political science, Linguistics, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 1, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
65Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3206154643 |
|---|---|
| doi | https://doi.org/10.1016/j.datak.2022.102103 |
| ids.doi | https://doi.org/10.1016/j.datak.2022.102103 |
| ids.mag | 3206154643 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36406205 |
| ids.openalex | https://openalex.org/W3206154643 |
| fwci | 4.34838871 |
| type | article |
| title | An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method |
| biblio.issue | |
| biblio.volume | 143 |
| biblio.last_page | 102103 |
| biblio.first_page | 102103 |
| topics[0].id | https://openalex.org/T11147 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3312 |
| topics[0].subfield.display_name | Sociology and Political Science |
| topics[0].display_name | Misinformation and Its Impacts |
| topics[1].id | https://openalex.org/T10664 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9868000149726868 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Sentiment Analysis and Opinion Mining |
| topics[2].id | https://openalex.org/T11644 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9858999848365784 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1710 |
| topics[2].subfield.display_name | Information Systems |
| topics[2].display_name | Spam and Phishing Detection |
| is_xpac | False |
| apc_list.value | 2590 |
| apc_list.currency | USD |
| apc_list.value_usd | 2590 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776990098 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7440736293792725 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q13579947 |
| concepts[0].display_name | Misinformation |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7395542860031128 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C518677369 |
| concepts[2].level | 2 |
| concepts[2].score | 0.547997772693634 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q202833 |
| concepts[2].display_name | Social media |
| concepts[3].id | https://openalex.org/C136764020 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5454502701759338 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[3].display_name | World Wide Web |
| concepts[4].id | https://openalex.org/C2778689934 |
| concepts[4].level | 2 |
| concepts[4].score | 0.512360692024231 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1313396 |
| concepts[4].display_name | Headline |
| concepts[5].id | https://openalex.org/C520049643 |
| concepts[5].level | 3 |
| concepts[5].score | 0.49342384934425354 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q189760 |
| concepts[5].display_name | Voting |
| concepts[6].id | https://openalex.org/C2522767166 |
| concepts[6].level | 1 |
| concepts[6].score | 0.4426501393318176 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[6].display_name | Data science |
| concepts[7].id | https://openalex.org/C23123220 |
| concepts[7].level | 1 |
| concepts[7].score | 0.39691275358200073 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[7].display_name | Information retrieval |
| concepts[8].id | https://openalex.org/C38652104 |
| concepts[8].level | 1 |
| concepts[8].score | 0.16612496972084045 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[8].display_name | Computer security |
| concepts[9].id | https://openalex.org/C138885662 |
| concepts[9].level | 0 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[9].display_name | Philosophy |
| concepts[10].id | https://openalex.org/C94625758 |
| concepts[10].level | 2 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7163 |
| concepts[10].display_name | Politics |
| concepts[11].id | https://openalex.org/C17744445 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[11].display_name | Political science |
| concepts[12].id | https://openalex.org/C41895202 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[12].display_name | Linguistics |
| concepts[13].id | https://openalex.org/C199539241 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[13].display_name | Law |
| keywords[0].id | https://openalex.org/keywords/misinformation |
| keywords[0].score | 0.7440736293792725 |
| keywords[0].display_name | Misinformation |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7395542860031128 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/social-media |
| keywords[2].score | 0.547997772693634 |
| keywords[2].display_name | Social media |
| keywords[3].id | https://openalex.org/keywords/world-wide-web |
| keywords[3].score | 0.5454502701759338 |
| keywords[3].display_name | World Wide Web |
| keywords[4].id | https://openalex.org/keywords/headline |
| keywords[4].score | 0.512360692024231 |
| keywords[4].display_name | Headline |
| keywords[5].id | https://openalex.org/keywords/voting |
| keywords[5].score | 0.49342384934425354 |
| keywords[5].display_name | Voting |
| keywords[6].id | https://openalex.org/keywords/data-science |
| keywords[6].score | 0.4426501393318176 |
| keywords[6].display_name | Data science |
| keywords[7].id | https://openalex.org/keywords/information-retrieval |
| keywords[7].score | 0.39691275358200073 |
| keywords[7].display_name | Information retrieval |
| keywords[8].id | https://openalex.org/keywords/computer-security |
| keywords[8].score | 0.16612496972084045 |
| keywords[8].display_name | Computer security |
| language | en |
| locations[0].id | doi:10.1016/j.datak.2022.102103 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S136993123 |
| locations[0].source.issn | 0169-023X, 1872-6933 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0169-023X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Data & Knowledge Engineering |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Data & Knowledge Engineering |
| locations[0].landing_page_url | https://doi.org/10.1016/j.datak.2022.102103 |
| locations[1].id | pmid:36406205 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Data & knowledge engineering |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36406205 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:9650682 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Data Knowl Eng |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9650682 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5055783149 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9728-0525 |
| authorships[0].author.display_name | Deepika Varshney |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I863896202 |
| authorships[0].affiliations[0].raw_affiliation_string | Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Delhi 110042, India |
| authorships[0].institutions[0].id | https://openalex.org/I863896202 |
| authorships[0].institutions[0].ror | https://ror.org/01ztcvt22 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I863896202 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Delhi Technological University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Deepika Varshney |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Delhi 110042, India |
| authorships[1].author.id | https://openalex.org/A5021449557 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1026-0047 |
| authorships[1].author.display_name | Dinesh Kumar Vishwakarma |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I863896202 |
| authorships[1].affiliations[0].raw_affiliation_string | Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Delhi 110042, India |
| authorships[1].institutions[0].id | https://openalex.org/I863896202 |
| authorships[1].institutions[0].ror | https://ror.org/01ztcvt22 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I863896202 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Delhi Technological University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Dinesh Kumar Vishwakarma |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Biometric Research Laboratory, Department of Information Technology, Delhi Technological University, Delhi 110042, India |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9650682 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | An automated multi-web platform voting framework to predict misleading information proliferated during COVID-19 outbreak using ensemble method |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11147 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3312 |
| primary_topic.subfield.display_name | Sociology and Political Science |
| primary_topic.display_name | Misinformation and Its Impacts |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W4285135530, https://openalex.org/W2380567098, https://openalex.org/W2035489689, https://openalex.org/W906669285, https://openalex.org/W1553197492, https://openalex.org/W85886512, https://openalex.org/W3197131596, https://openalex.org/W1514610457, https://openalex.org/W2962981892 |
| cited_by_count | 9 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 4 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 3 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:pubmedcentral.nih.gov:9650682 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764455111 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | PubMed Central |
| best_oa_location.source.host_organization | https://openalex.org/I1299303238 |
| best_oa_location.source.host_organization_name | National Institutes of Health |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1299303238 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | Data Knowl Eng |
| best_oa_location.landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9650682 |
| primary_location.id | doi:10.1016/j.datak.2022.102103 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S136993123 |
| primary_location.source.issn | 0169-023X, 1872-6933 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0169-023X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Data & Knowledge Engineering |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Data & Knowledge Engineering |
| primary_location.landing_page_url | https://doi.org/10.1016/j.datak.2022.102103 |
| publication_date | 2022-11-11 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3154336704, https://openalex.org/W2146883128, https://openalex.org/W3035939752, https://openalex.org/W2773666902, https://openalex.org/W2084591134, https://openalex.org/W2531862055, https://openalex.org/W2962717349, https://openalex.org/W6632682842, https://openalex.org/W6735963731, https://openalex.org/W6729075404, https://openalex.org/W6660754032, https://openalex.org/W6658929012, https://openalex.org/W6732280775, https://openalex.org/W6678431006, https://openalex.org/W2337875011, https://openalex.org/W2016023958, https://openalex.org/W6657856584, https://openalex.org/W2914116198, https://openalex.org/W6755894511, https://openalex.org/W2810047920, https://openalex.org/W3155963088, https://openalex.org/W3122445150, https://openalex.org/W3135835076, https://openalex.org/W2905498624, https://openalex.org/W2885131457, https://openalex.org/W2016520072, https://openalex.org/W6786375568, https://openalex.org/W3093031973, https://openalex.org/W3106278827, https://openalex.org/W3010693502, https://openalex.org/W3119613571, https://openalex.org/W1546111015, https://openalex.org/W2530362799, https://openalex.org/W2891488835, https://openalex.org/W3152994406, https://openalex.org/W2977886427, https://openalex.org/W3103872969, https://openalex.org/W2032897813, https://openalex.org/W23214943, https://openalex.org/W3158012322, https://openalex.org/W4241735343, https://openalex.org/W4232523505, https://openalex.org/W2963416784, https://openalex.org/W4297957988, https://openalex.org/W2998395006, https://openalex.org/W3085162807, https://openalex.org/W2604264634, https://openalex.org/W3137820162, https://openalex.org/W4293926355, https://openalex.org/W4243973894, https://openalex.org/W3120575766, https://openalex.org/W2963704837, https://openalex.org/W2963731617, https://openalex.org/W2125556865, https://openalex.org/W3108430845, https://openalex.org/W3197644365, https://openalex.org/W3159374415, https://openalex.org/W3157497262, https://openalex.org/W2803502351, https://openalex.org/W2607700676, https://openalex.org/W4241421681, https://openalex.org/W2542192908, https://openalex.org/W2122786026, https://openalex.org/W2029830906, https://openalex.org/W2577888896 |
| referenced_works_count | 65 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5021449557 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I863896202 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.92512093 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |