1. The emergence and public perception of misinformation : a study on fake newsDejan Leskovar, 2024, magistrsko delo Opis: In this thesis, we deal with fake news, its history and identification combined with how people perceive it. We discuss the effect of the COVID-19 pandemic on fake news and the role artificial intelligence plays in manufacturing it. We look at how people define fake news, how misinformation is identified and how it spreads. The theoretical portion analyses and compares several definitions of fake news, in order to define what fake news is. Several existing studies on the topic are analysed. Two fake news articles are analysed and compared based on their structure. Ways of identifying fake news are presented, along with a suggestion to use fake news as a topic when teaching English. The empirical section is based on two online surveys in 2018 and 2024. The results show that people encounter fake news very often but are taking steps, such as viewing multiple sources, to identify fake news. The majority of respondents consider political bias or agenda to be the main reason behind fake news. Most respondents get their news online but do not trust social media as a source; however, many consider it a good starting point. No significant differences between various demographics were found in the ability to identify fake news. Despite the COVID-19 pandemic and its effects on fake news, the differences in responses between the surveys are minimal.
Ključne besede: fake news, spread, identification, mal-information
Objavljeno v DKUM: 11.02.2025; Ogledov: 0; Prenosov: 28
 Celotno besedilo (3,59 MB) |
2. Social media fact-checking: the effects of news literacy and news trust on the intent to verify health-related informationInes Kožuh, Peter Čakš, 2023, izvirni znanstveni članek Opis: The recent health crisis and the rapid development of Artificial Intelligence have caused misinformation on social media to flourish by becoming more sophisticated and challenging to detect. This calls upon fact-checking and questions users’ competencies and attitudes when assessing social media news. Our study provides a model of how fact-checking intent is explained by news literacy and news trust to examine how users behave in the misinformation-prone social media environment. Structural equation modeling was used to examine survey data gathered from social media users. The findings revealed that users’ intent to fact-check information in social media news is explained by (1) news literacy, such as the awareness of various techniques used by creators to depict situations about COVID-19; (2) news trust, in terms of the conviction that the news contains all the essential facts; and (3) intent, such as an aim to check information in multiple pieces of news. The presented findings may aid policymakers and practitioners in developing efficient communication strategies for addressing users less prone to fact-checking. Our contribution offers a new understanding of news literacy as a sufficient tool for combating misinformation, which actively equips users with knowledge and an attitude for social media news fact-checking.
Ključne besede: fact-checking, news literacy, trust, social media, misinformaiton, fake news, pandemic, health crisis
Objavljeno v DKUM: 04.06.2024; Ogledov: 161; Prenosov: 41
Celotno besedilo (1,07 MB)
Gradivo ima več datotek! Več... |
3. Lažne novice in družbeni mediji: prepoznava in zajezitev dezinformacij med uporabniki v Sloveniji : diplomsko deloInes Tomažič, 2023, diplomsko delo Opis: Tema diplomskega dela so lažne novice, ki imajo v družbi velik vpliv. Poleg tega, da spodbujajo nezaupljivost v oblast in medije, mečejo slabo luč tudi na novinarski poklic. Z razvojem interneta in družbenih medijev so dokazi, dejstva in znanost pogosto potisnjeni na stran, s čimer se spodkopava verodostojnost znanstvenih informacij. Zato je pomembno, da uporabniki znajo prepoznati lažne novice in uporabljati orodja za njihovo odkrivanje. Raziskava, ki smo jo izvedli, je pokazala odnos slovenskih uporabnikov do lažnih novic. S pridobljenimi rezultati je bilo ugotovljeno, katerim medijem slovenski uporabniki najbolj zaupajo, koga krivijo za širjenje lažnih novic in kdo bi moral nositi odgovornost zanje.
Ključne besede: lažne novice, fake news, družbeni mediji, preverjanje dejstev, dezinfromacije
Objavljeno v DKUM: 27.06.2023; Ogledov: 648; Prenosov: 170
Celotno besedilo (3,29 MB) |
4. Lažne novice in njihovo omejevanje : diplomsko deloTia Maria Tertinek, 2020, diplomsko delo Opis: V diplomski nalogi je raziskano področje lažnih novic in njihovo omejevanje. Lažne novice postajajo vedno večji svetovni pojav, predvsem na spletu, kjer jih je težko omejevati. Na začetku diplomske naloge je opisano, kako lažne novice opredelimo in prepoznamo. Prikazani so primeri zasebnih platform, ki omogočajo prepoznavanje lažnih novic. Prikazani so tudi praktični primeri lažnih novic po Sloveniji in v tujini. V nadaljevanju je kratko opisan domač politični sistem kot pomemben faktor pri presoji legitimnosti omejevanja nadzora lažnih novic s strani države. Narejen je pregled problematike omejevanja lažnih novic in zakonodaje, pomembne za boj z lažnimi novicami. Analizirana so telesa oziroma organi držav, ki imajo pristojnost omejevanja lažnih novic. Na podlagi analize se avtorica opredeli do vprašanja, kako naj bi bilo oblikovano legitimno telo oziroma državni organ, ki nadzoruje lažne novice.
Ključne besede: Lažne novice, fake news, dezinformacije, novinarstvo, pravo, zakonodaja
Objavljeno v DKUM: 02.11.2020; Ogledov: 2220; Prenosov: 570
Celotno besedilo (1,11 MB) |
