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Results show ML and OISS levels above moderate, significant variation by website type, and ML as a predictor explaining 33.2% of OISS.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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address about online information?","Question",{"text":63,"@type":64},"The study addresses how Web 2.0 makes it easier to spread information, including biased or false content, while many posts lack sources and accuracy checking is left to users.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How does the paper define media literacy (ML)?",{"text":68,"@type":64},"ML is described as the ability to create personal meaning from media messages and to choose, distinguish, question, and critically evaluate what is encountered, rather than remaining passive.",{"name":70,"@type":61,"acceptedAnswer":71},"What did the study find about the relationship between ML and OISS?",{"text":72,"@type":64},"Pre-service teachers’ ML and OISS levels were above moderate, both varied significantly by website type, and ML predicted OISS by explaining 33.2% of its 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\n[ismailtatar@mu.edu.tr](ismailtatar@mu.edu.tr)  \nMuğla Sıtkı Koçman University, Turkey  \nYusuf Levent Şahin  \n[ylsahin@anadolu.edu.tr](ylsahin@anadolu.edu.tr)  \nAnadolu University, Turkey  \nEzgi Doğan  \n[ezgidogan@yyu.edu.tr](ezgidogan@yyu.edu.tr)  \nVan Yüzüncü Yıl University, Turkey  \nAbstract  \nAlong with the spread of Web 2.0 technologies, individuals' habits such as learning, socializing, and getting information have changed rapidly. A lot of information, the accuracy of which cannot be trusted, is available in the web, and it becomes difficult to choose useful, relevant, and accurate information. This pollution is also present in the media. The abilities to choose messages in the media, to look at these messages critically, and to produce your own messages are considered among the 21st-century skills. These reasons bring media literacy (ML) and online information searching strategies (OISS) to the agenda. The processes of ML and OISS have interrelated features. Therefore, it is important and necessary to examine these concepts together. Based on this necessity, the aim of the study was to determine the role of ML in OISS. To this end, the data were collected from 1809 pre-service teachers using the OISS inventory and the ML level determination scale. Data were analyzed by descriptive statistics, MANOVA, and multiple regression analysis. According to the results, pre-service teachers' ML and OISS levels were above the moderate level. ML and OISS vary significantly according to the type of websites. In conclusion, ML was revealed as a predictor variable that could explain OISS ata rate of 33. 2% .  \nKeywords  \nMedia literacy, online information searching strategies, pre-service teachers, teacher education, 21st-century skills  \nİ.Tatar, Y.L. Şahin & E.Doğan  \nDigital Education Review-Number 41, June 2022 268  \nI. Introduction  \nThe static structure during the infancy of the internet has been replaced by a dynamic structure nowadays. Along with the spread of Web 2.0 technologies, the effort and expertise required to be included in the internet environment have decreased, and individuals have become able to produce their personal spaces and environments very simply. Easier access to information has also facilitated information sharing. Individuals can share the content of the information, news, etc. they encounter in a virtual environment from their personal accounts by just a few clicks, thus taking an effective part in the dissemination of information. With the development of social networks and content provider sites and their spread to a wide user base, individuals have been transformed from content consumers to producers. Individuals can share the content of the information, news, etc. they encounter in a virtual environment from their personal accounts by just a few clicks, thus taking an effective part in the dissemination of information. Thanks to media such as blogs and social media networks, news events can be quickly transferred to the internet environment by individuals. With the widespread use of smartphones that can record audio and video very easily, people on the street have become a kind of reporters. This dynamic structure has played a significant role in the transformation of classical journalism and the media, removing the media from the monopoly of the press organs. However, the fact that the content can be served and spread very quickly means that biased or false information can be spread in the same way. While the journalist is the assurance of the accuracy of the information he/she provides in the classical media, such responsible behavior may not be in question in the internet environment. Most of the posts on the internet do not show a source, and the task of testing the accuracy of the information encountered is left to the user. The mentioned reasons bring forward two important concepts. These are Media Litera","cbCaibTEechiqefw","https://ap.wps.com/l/cbCaibTEechiqefw","pdf",135084,16,"English","# Abstract\n# Introduction\n## Media Literacy\n## Online Information Searching Strategies\n## Method and Analysis\n## Results and Conclusion","[{\"question\":\"What problem does the study address about online information?\",\"answer\":\"The study addresses how Web 2.0 makes it easier to spread information, including biased or false content, while many posts lack sources and accuracy checking is left to users.\"},{\"question\":\"How does the paper define media literacy (ML)?\",\"answer\":\"ML is described as the ability to create personal meaning from media messages and to choose, distinguish, question, and critically evaluate what is encountered, rather than remaining passive.\"},{\"question\":\"What did the study find about the relationship between ML and OISS?\",\"answer\":\"Pre-service teachers’ ML and OISS levels were above moderate, both varied significantly by website type, and ML predicted OISS by explaining 33.2% of its variance.\"}]","The Role of Media Literacy in Online Information Searching Strategies | PDF",1792092492]