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[{"key": "dc.contributor.advisor", "value": "Riekkinen, Janne", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Gr\u00f6nberg, Elsalotta", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2023-06-08T04:53:33Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2023-06-08T04:53:33Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2023", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/87530", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 tutkielmassa tutkittiin erilaisia keinoja nettikiusaamisen automaattiseen havainnointiin sosiaalisessa mediassa. Sosiaalinen media on kehittynyt 2000-luvun alusta l\u00e4htien ja nyky\u00e4\u00e4n miljoonat ihmiset maailmanlaajuisesti k\u00e4ytt\u00e4v\u00e4t sosiaalisen median eri alustoja. Sosiaalisessa mediassa voi esimerkiksi pit\u00e4\u00e4 yhteytt\u00e4 yst\u00e4viin ja perheeseen sek\u00e4 etsi\u00e4 t\u00f6it\u00e4 tai verkostoitua ammatillisesti. Sosiaalisessa mediassa tapahtuu kuitenkin my\u00f6s nettikiusaamista. Nettikiusaaminen tarkoittaa kiusaamista, joka tapahtuu digitaalisissa ymp\u00e4rist\u00f6iss\u00e4 tai digitaalisia laitteita avuksi k\u00e4ytt\u00e4en. Erityisesti lapset, nuoret ja nuoret aikuiset kohtaavat nettikiusaamista sosiaalisessa mediassa. T\u00e4m\u00e4n vuoksi nettikiusaamisen havaitseminen on t\u00e4rke\u00e4\u00e4, sill\u00e4 siten nettikiusaamista pystytt\u00e4isiin ehk\u00e4isem\u00e4\u00e4n. T\u00e4m\u00e4n tutkielman tarkoituksena oli koota yhteen erilaisia keinoja, joilla nettikiusaamista voidaan automaattisesti havaita sosiaalisessa mediassa. Nettikiusaamisen automaattinen havainnointi tarkoittaa t\u00e4ss\u00e4 yhteydess\u00e4 sit\u00e4, ett\u00e4 jokin j\u00e4rjestelm\u00e4 havaitsee nettikiusaamista automaattisesti ilman ihmisen apua. Tutkielma on toteutettu kirjallisuuskatsauksena ja tutkielmassa on pyritty vastaamaan yhteen tutkimuskysymykseen: \u201dMill\u00e4 tavoin nettikiusaamista voidaan automaattisesti havainnoida sosiaalisessa mediassa?\u201d Tutkielmassa on m\u00e4\u00e4ritelty yleisesti sosiaalista mediaa sek\u00e4 nettikiusaamista, jonka j\u00e4lkeen on esitelty erilaisia automaattisen havainnoinnin keinoja. N\u00e4it\u00e4 automaattisen havainnoinnin keinoja vertailtiin toisiinsa ja niist\u00e4 pyrittiin l\u00f6yt\u00e4m\u00e4\u00e4n kaikista toimivimpia keinoja. Tutkielmassa tultiin siihen tulokseen, ett\u00e4 nettikiusaamisen automaattista havainnointia on tutkittu paljon viimeisten vuosien aikana. Erityisesti erilaisia j\u00e4rjestelmi\u00e4, jotka pyrkiv\u00e4t havaitsemaan kiusaamisviestej\u00e4, on kehitetty. Useissa havainnointij\u00e4rjestelmiss\u00e4 k\u00e4ytet\u00e4\u00e4n apuna muun muassa koneoppimista. Kuitenkin edelleen on iso puute toimivista nettikiusaamisen automaattisen havainnoinnin j\u00e4rjestelmist\u00e4, jotka onnistuisivat havaitsemaan nettikiusaamista laajasti ja tarkasti. T\u00e4m\u00e4 on yksi syy, miksi nettikiusaaminen on edelleen ongelma sosiaalisessa mediassa.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This thesis examines the diverse ways cyberbullying can be automatically detected in social media. Bullying that happens in digital platforms is called cyberbullying. A lot of the cyberbullying is happening in social media nowadays. A lot of kids, teens and young adults have experienced cyberbullying is social media. Social media started to evolve in the begging of the 21st century and nowadays the most used social media platforms are used by millions of people. Social media is used for example for socializing with friends and family, interacting with companies and for professional networking. There are diverse ways to detect cyberbullying in social media, but cyberbullying is still a big problem. The goal in this thesis is trying to gather up diverse ways to detect cyberbullying automatically. Automatic detection means that some system can detect cyberbullying automatically without the help of a human. Primary research question will be addressed by the study, which is: \u201cWhat are the ways that cyberbullying can be automatically detected in social media?\u201d The thesis defines social media and cyberbullying and lastly gathers up the diverse ways to detect cyberbullying automatically. The key findings of the thesis are that there is a lot of research about automatic cyberbullying detection and many different systems has been made. Lot of the detection systems use for example machine learning to automatically detect cyberbullying. Still there is serious lack of usable systems and cyberbullying being a big problem in social media.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Miia Hakanen (mihakane@jyu.fi) on 2023-06-08T04:53:33Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2023-06-08T04:53:33Z (GMT). No. of bitstreams: 0\n Previous issue date: 2023", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "40", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "nettikiusaamisen havainnointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "nettikiusaamisen automaattihavainnointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "nettikiusaaminen sosiaalisessa mediassa", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Nettikiusaamisen automaattinen havainnointi sosiaalisessa mediassa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202306083599", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "bachelorThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "sosiaalinen media", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "kiusaaminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "nettikiusaaminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "havainnointi", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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