Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate

Internet and social media participation open doors to a plethora of positive opportunities for the general public. However, in addition to these positive aspects, digital technology also provides an effective medium for spreading hateful content in the form of cyberbullying, bigotry, hateful ideolog...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2019-09, Vol.14 (9), p.e0222194-e0222194
Hauptverfasser: Waqas, Ahmed, Salminen, Joni, Jung, Soon-Gyo, Almerekhi, Hind, Jansen, Bernard J
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0222194
container_issue 9
container_start_page e0222194
container_title PloS one
container_volume 14
creator Waqas, Ahmed
Salminen, Joni
Jung, Soon-Gyo
Almerekhi, Hind
Jansen, Bernard J
description Internet and social media participation open doors to a plethora of positive opportunities for the general public. However, in addition to these positive aspects, digital technology also provides an effective medium for spreading hateful content in the form of cyberbullying, bigotry, hateful ideologies, and harassment of individuals and groups. This research aims to investigate the growing body of online hate research (OHR) by mapping general research indices, prevalent themes of research, research hotspots, and influential stakeholders such as organizations and contributing regions. For this, we use scientometric techniques and collect research papers from the Web of Science core database published through March 2019. We apply a predefined search strategy to retrieve peer-reviewed OHR and analyze the data using CiteSpace software by identifying influential papers, themes of research, and collaborating institutions. Our results show that higher-income countries contribute most to OHR, with Western countries accounting for most of the publications, funded by North American and European funding agencies. We also observed increased research activity post-2005, starting from more than 50 publications to more than 550 in 2018. This applies to a number of publications as well as citations. The hotbeds of OHR focus on cyberbullying, social media platforms, co-morbid mental disorders, and profiling of aggressors and victims. Moreover, we identified four main clusters of OHR: (1) Cyberbullying, (2) Sexual solicitation and intimate partner violence, (3) Deep learning and automation, and (4) Extremist and online hate groups, which highlight the cross-disciplinary and multifaceted nature of OHR as a field of research. The research has implications for researchers and policymakers engaged in OHR and its associated problems for individuals and society.
doi_str_mv 10.1371/journal.pone.0222194
format Article
fullrecord <record><control><sourceid>proquest_plos_</sourceid><recordid>TN_cdi_plos_journals_2298554141</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_44c4c96ed3594b1d816ef97a5caa216e</doaj_id><sourcerecordid>2298554141</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-530353b9076de42472ecf0aeb7fd2ff6fbd0c942d7197984b06fa506d7ff23df3</originalsourceid><addsrcrecordid>eNptkl1rFDEUhoMotlb_geiAN97smu9MvBBK0bZQ8UavQyY52ckyOxmTWaH_3rQ7LVvxIiTkPOc9H7wIvSV4TZgin7Zpn0c7rKc0whpTSonmz9Ap0YyuJMXs-dH7BL0qZYuxYK2UL9EJI0IoStUp6r_baYrjpknjEEdoejvD5-a8KS7COKcdzDm6xtZCtyWWSjUZCtjs-mbOMPpSY77p01ymepp4FK_skehr9CLYocCb5T5Dv759_Xlxtbr5cXl9cX6zcoLKeSUYZoJ1GivpgVOuKLiALXQqeBqCDJ3HTnPqFdFKt7zDMliBpVchUOYDO0PvD7rTkIpZllQMpboVghNOKnF9IHyyWzPluLP51iQbzf1Hyhtj8xzdAIZzx52W4JnQvCO-JRKCVlY4a2l9V60vS7V9twPv6s6yHZ6IPo2MsTeb9MdIJRnRugp8XARy-r2HMptdLA6GwY6Q9vd9a8I5I21FP_yD_n86fqBcTqVkCI_NEGzujPOQZe6MYxbj1LR3x4M8Jj04hf0FimbC6w</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2298554141</pqid></control><display><type>article</type><title>Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Waqas, Ahmed ; Salminen, Joni ; Jung, Soon-Gyo ; Almerekhi, Hind ; Jansen, Bernard J</creator><contributor>De Luca, Vincenzo</contributor><creatorcontrib>Waqas, Ahmed ; Salminen, Joni ; Jung, Soon-Gyo ; Almerekhi, Hind ; Jansen, Bernard J ; De Luca, Vincenzo</creatorcontrib><description>Internet and social media participation open doors to a plethora of positive opportunities for the general public. However, in addition to these positive aspects, digital technology also provides an effective medium for spreading hateful content in the form of cyberbullying, bigotry, hateful ideologies, and harassment of individuals and groups. This research aims to investigate the growing body of online hate research (OHR) by mapping general research indices, prevalent themes of research, research hotspots, and influential stakeholders such as organizations and contributing regions. For this, we use scientometric techniques and collect research papers from the Web of Science core database published through March 2019. We apply a predefined search strategy to retrieve peer-reviewed OHR and analyze the data using CiteSpace software by identifying influential papers, themes of research, and collaborating institutions. Our results show that higher-income countries contribute most to OHR, with Western countries accounting for most of the publications, funded by North American and European funding agencies. We also observed increased research activity post-2005, starting from more than 50 publications to more than 550 in 2018. This applies to a number of publications as well as citations. The hotbeds of OHR focus on cyberbullying, social media platforms, co-morbid mental disorders, and profiling of aggressors and victims. Moreover, we identified four main clusters of OHR: (1) Cyberbullying, (2) Sexual solicitation and intimate partner violence, (3) Deep learning and automation, and (4) Extremist and online hate groups, which highlight the cross-disciplinary and multifaceted nature of OHR as a field of research. The research has implications for researchers and policymakers engaged in OHR and its associated problems for individuals and society.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0222194</identifier><identifier>PMID: 31557227</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accounting ; Aggression ; Automation ; Behavioral Research - statistics &amp; numerical data ; Bibliometrics ; Biology and Life Sciences ; Bullying ; Computer and Information Sciences ; Cyberbullying ; Cyberbullying - psychology ; Deep Learning ; Digital media ; Documents ; Hate ; Hate speech ; Humans ; Internet ; Internet - statistics &amp; numerical data ; Intimate Partner Violence - statistics &amp; numerical data ; Machine learning ; Mapping ; Mental disorders ; Mental health ; Misogyny ; Nazi groups ; People and Places ; Research and Analysis Methods ; Scientific papers ; Scientometrics ; Social Media - statistics &amp; numerical data ; Social networks ; Social Sciences ; Studies ; Teenagers ; Trends ; User behavior ; Victimization ; Violence ; Virtual communities ; White supremacy</subject><ispartof>PloS one, 2019-09, Vol.14 (9), p.e0222194-e0222194</ispartof><rights>2019 Waqas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Waqas et al 2019 Waqas et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-530353b9076de42472ecf0aeb7fd2ff6fbd0c942d7197984b06fa506d7ff23df3</citedby><cites>FETCH-LOGICAL-c526t-530353b9076de42472ecf0aeb7fd2ff6fbd0c942d7197984b06fa506d7ff23df3</cites><orcidid>0000-0003-3230-0561</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763199/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6763199/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23865,27923,27924,53790,53792,79371,79372</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31557227$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>De Luca, Vincenzo</contributor><creatorcontrib>Waqas, Ahmed</creatorcontrib><creatorcontrib>Salminen, Joni</creatorcontrib><creatorcontrib>Jung, Soon-Gyo</creatorcontrib><creatorcontrib>Almerekhi, Hind</creatorcontrib><creatorcontrib>Jansen, Bernard J</creatorcontrib><title>Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Internet and social media participation open doors to a plethora of positive opportunities for the general public. However, in addition to these positive aspects, digital technology also provides an effective medium for spreading hateful content in the form of cyberbullying, bigotry, hateful ideologies, and harassment of individuals and groups. This research aims to investigate the growing body of online hate research (OHR) by mapping general research indices, prevalent themes of research, research hotspots, and influential stakeholders such as organizations and contributing regions. For this, we use scientometric techniques and collect research papers from the Web of Science core database published through March 2019. We apply a predefined search strategy to retrieve peer-reviewed OHR and analyze the data using CiteSpace software by identifying influential papers, themes of research, and collaborating institutions. Our results show that higher-income countries contribute most to OHR, with Western countries accounting for most of the publications, funded by North American and European funding agencies. We also observed increased research activity post-2005, starting from more than 50 publications to more than 550 in 2018. This applies to a number of publications as well as citations. The hotbeds of OHR focus on cyberbullying, social media platforms, co-morbid mental disorders, and profiling of aggressors and victims. Moreover, we identified four main clusters of OHR: (1) Cyberbullying, (2) Sexual solicitation and intimate partner violence, (3) Deep learning and automation, and (4) Extremist and online hate groups, which highlight the cross-disciplinary and multifaceted nature of OHR as a field of research. The research has implications for researchers and policymakers engaged in OHR and its associated problems for individuals and society.</description><subject>Accounting</subject><subject>Aggression</subject><subject>Automation</subject><subject>Behavioral Research - statistics &amp; numerical data</subject><subject>Bibliometrics</subject><subject>Biology and Life Sciences</subject><subject>Bullying</subject><subject>Computer and Information Sciences</subject><subject>Cyberbullying</subject><subject>Cyberbullying - psychology</subject><subject>Deep Learning</subject><subject>Digital media</subject><subject>Documents</subject><subject>Hate</subject><subject>Hate speech</subject><subject>Humans</subject><subject>Internet</subject><subject>Internet - statistics &amp; numerical data</subject><subject>Intimate Partner Violence - statistics &amp; numerical data</subject><subject>Machine learning</subject><subject>Mapping</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Misogyny</subject><subject>Nazi groups</subject><subject>People and Places</subject><subject>Research and Analysis Methods</subject><subject>Scientific papers</subject><subject>Scientometrics</subject><subject>Social Media - statistics &amp; numerical data</subject><subject>Social networks</subject><subject>Social Sciences</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Trends</subject><subject>User behavior</subject><subject>Victimization</subject><subject>Violence</subject><subject>Virtual communities</subject><subject>White supremacy</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhoMotlb_geiAN97smu9MvBBK0bZQ8UavQyY52ckyOxmTWaH_3rQ7LVvxIiTkPOc9H7wIvSV4TZgin7Zpn0c7rKc0whpTSonmz9Ap0YyuJMXs-dH7BL0qZYuxYK2UL9EJI0IoStUp6r_baYrjpknjEEdoejvD5-a8KS7COKcdzDm6xtZCtyWWSjUZCtjs-mbOMPpSY77p01ymepp4FK_skehr9CLYocCb5T5Dv759_Xlxtbr5cXl9cX6zcoLKeSUYZoJ1GivpgVOuKLiALXQqeBqCDJ3HTnPqFdFKt7zDMliBpVchUOYDO0PvD7rTkIpZllQMpboVghNOKnF9IHyyWzPluLP51iQbzf1Hyhtj8xzdAIZzx52W4JnQvCO-JRKCVlY4a2l9V60vS7V9twPv6s6yHZ6IPo2MsTeb9MdIJRnRugp8XARy-r2HMptdLA6GwY6Q9vd9a8I5I21FP_yD_n86fqBcTqVkCI_NEGzujPOQZe6MYxbj1LR3x4M8Jj04hf0FimbC6w</recordid><startdate>20190926</startdate><enddate>20190926</enddate><creator>Waqas, Ahmed</creator><creator>Salminen, Joni</creator><creator>Jung, Soon-Gyo</creator><creator>Almerekhi, Hind</creator><creator>Jansen, Bernard J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-3230-0561</orcidid></search><sort><creationdate>20190926</creationdate><title>Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate</title><author>Waqas, Ahmed ; Salminen, Joni ; Jung, Soon-Gyo ; Almerekhi, Hind ; Jansen, Bernard J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-530353b9076de42472ecf0aeb7fd2ff6fbd0c942d7197984b06fa506d7ff23df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accounting</topic><topic>Aggression</topic><topic>Automation</topic><topic>Behavioral Research - statistics &amp; numerical data</topic><topic>Bibliometrics</topic><topic>Biology and Life Sciences</topic><topic>Bullying</topic><topic>Computer and Information Sciences</topic><topic>Cyberbullying</topic><topic>Cyberbullying - psychology</topic><topic>Deep Learning</topic><topic>Digital media</topic><topic>Documents</topic><topic>Hate</topic><topic>Hate speech</topic><topic>Humans</topic><topic>Internet</topic><topic>Internet - statistics &amp; numerical data</topic><topic>Intimate Partner Violence - statistics &amp; numerical data</topic><topic>Machine learning</topic><topic>Mapping</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Misogyny</topic><topic>Nazi groups</topic><topic>People and Places</topic><topic>Research and Analysis Methods</topic><topic>Scientific papers</topic><topic>Scientometrics</topic><topic>Social Media - statistics &amp; numerical data</topic><topic>Social networks</topic><topic>Social Sciences</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Trends</topic><topic>User behavior</topic><topic>Victimization</topic><topic>Violence</topic><topic>Virtual communities</topic><topic>White supremacy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Waqas, Ahmed</creatorcontrib><creatorcontrib>Salminen, Joni</creatorcontrib><creatorcontrib>Jung, Soon-Gyo</creatorcontrib><creatorcontrib>Almerekhi, Hind</creatorcontrib><creatorcontrib>Jansen, Bernard J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Waqas, Ahmed</au><au>Salminen, Joni</au><au>Jung, Soon-Gyo</au><au>Almerekhi, Hind</au><au>Jansen, Bernard J</au><au>De Luca, Vincenzo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-09-26</date><risdate>2019</risdate><volume>14</volume><issue>9</issue><spage>e0222194</spage><epage>e0222194</epage><pages>e0222194-e0222194</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Internet and social media participation open doors to a plethora of positive opportunities for the general public. However, in addition to these positive aspects, digital technology also provides an effective medium for spreading hateful content in the form of cyberbullying, bigotry, hateful ideologies, and harassment of individuals and groups. This research aims to investigate the growing body of online hate research (OHR) by mapping general research indices, prevalent themes of research, research hotspots, and influential stakeholders such as organizations and contributing regions. For this, we use scientometric techniques and collect research papers from the Web of Science core database published through March 2019. We apply a predefined search strategy to retrieve peer-reviewed OHR and analyze the data using CiteSpace software by identifying influential papers, themes of research, and collaborating institutions. Our results show that higher-income countries contribute most to OHR, with Western countries accounting for most of the publications, funded by North American and European funding agencies. We also observed increased research activity post-2005, starting from more than 50 publications to more than 550 in 2018. This applies to a number of publications as well as citations. The hotbeds of OHR focus on cyberbullying, social media platforms, co-morbid mental disorders, and profiling of aggressors and victims. Moreover, we identified four main clusters of OHR: (1) Cyberbullying, (2) Sexual solicitation and intimate partner violence, (3) Deep learning and automation, and (4) Extremist and online hate groups, which highlight the cross-disciplinary and multifaceted nature of OHR as a field of research. The research has implications for researchers and policymakers engaged in OHR and its associated problems for individuals and society.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31557227</pmid><doi>10.1371/journal.pone.0222194</doi><orcidid>https://orcid.org/0000-0003-3230-0561</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2019-09, Vol.14 (9), p.e0222194-e0222194
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2298554141
source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry
subjects Accounting
Aggression
Automation
Behavioral Research - statistics & numerical data
Bibliometrics
Biology and Life Sciences
Bullying
Computer and Information Sciences
Cyberbullying
Cyberbullying - psychology
Deep Learning
Digital media
Documents
Hate
Hate speech
Humans
Internet
Internet - statistics & numerical data
Intimate Partner Violence - statistics & numerical data
Machine learning
Mapping
Mental disorders
Mental health
Misogyny
Nazi groups
People and Places
Research and Analysis Methods
Scientific papers
Scientometrics
Social Media - statistics & numerical data
Social networks
Social Sciences
Studies
Teenagers
Trends
User behavior
Victimization
Violence
Virtual communities
White supremacy
title Mapping online hate: A scientometric analysis on research trends and hotspots in research on online hate
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T19%3A55%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mapping%20online%20hate:%20A%20scientometric%20analysis%20on%20research%20trends%20and%20hotspots%20in%20research%20on%20online%20hate&rft.jtitle=PloS%20one&rft.au=Waqas,%20Ahmed&rft.date=2019-09-26&rft.volume=14&rft.issue=9&rft.spage=e0222194&rft.epage=e0222194&rft.pages=e0222194-e0222194&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0222194&rft_dat=%3Cproquest_plos_%3E2298554141%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2298554141&rft_id=info:pmid/31557227&rft_doaj_id=oai_doaj_org_article_44c4c96ed3594b1d816ef97a5caa216e&rfr_iscdi=true