There are various ways to establish the authority of a source. These include the author’s scope, fame, level of education, professional interests, and other personal characteristics. In addition, it is essential to consider the publisher, possible biases, sources of information studied, and other factors. When working with a source, it is also crucial to note how often others quote an author. Therefore, there are many ways to establish the credibility of an article. They allow researchers to select the best papers and work with reliance on them. The purpose of this paper is to review an article by Karen Hao (2020) in terms of authority.
First, it is necessary to consider the personal characteristics of Karen Hao. Before becoming a reporter at MIT Technology Review, she worked in the field of information technology for a long time. Her research interests included data science and application engineering (“Karen Hao,” 2020). Therefore, her articles on various developments in the field of artificial intelligence are based on a thorough knowledge of the topic, so they are reliable. It is also essential to consider the factor that Karen regularly writes new articles and enriches the journal database. This indicates her interest and responsible approach to work, which confirms the credibility of the selected article.
Besides the fact that Karen Hao is an effective and trusted reporter, one can note the quality of her work in the article itself. Carrying out a study on the topic of artificial intelligence, she mentions articles written by employees of Google, one of the largest and most serious companies in the world. Hao (2020) also writes, for example, that “while autonomous robots, like self-driving cars, are already a familiar concept, autonomously learning robots are still just an aspiration” (para. 2). Thus, she is deeply versed in the topic, and the data she analyzes is reliable and verified.
Reference
Hao, K. (2020). This robot taught itself to walk entirely on its own. Web.
Karen Hao. (2020). Web.