## 5 Results  
The analysis conducted in this work revealed that 25% of the analyzed articles did not mention the terms \"artificial intelligence\" or \"AI\", 29% of the analyzed articles mentioned the terms \"artificial intelligence\" or \"AI\" only once, 25% of the analyzed articles mentioned the terms \"artificial intelligence\" or \"AI\" two to four times, and 20% of the analyzed articles mentioned the terms \"artificial intelligence\" or \"AI\" more than four times. Therefore, articles were categorized into four categories: \"NoMention\", \"lowMention\", \"Mention\", and \"stroMention\" (see Figure 3). Figure 2: Example of score of articles with both techniques. The categorization enabled the authors of this work to investigate the different levels at which the topic of artificial intelligence was discussed in the analyzed articles and to better understand the trends in _WIRED_ magazine's coverage of this topic. The first result of the analysis of the articles was that nearly half of the articles that were tagged with the keyword \"artificial intelligence\" did not explicitly mention it. This observation could be attributed to the possibility of an overuse of the tags \"artificial intelligence\" or a need for _WIRED_ magazine to use more context-specific terminologies, depending on the article's content. This result raises questions about the accuracy and relevance of using the term \"artificial intelligence\" in situations where either it may not be applicable or it is used loosely. This finding may be in relation to the phenomenon of \"tag spamming\", the practice of including excessive, irrelevant, or misleading tags or keywords in online content such as blog posts, articles, or social media posts in order to manipulate search engine results, gain more visibility, and attract more clicks [48]. Despite that, all the selected articles included in this study are categorized by _WIRED_ magazine under the topic \"artificial intelligence\", and _WIRED_ journalists attributed this tag to all articles. Therefore, the absence of the explicit term \"artificial intelligence\" or \"AI\" in the article text is more likely to be attributed to the usage of more specific terminology or more specific content. To verify this hypothesis, a second analysis was conducted on articles containing terms more specific to the semantic field of artificial intelligence. The list of used terms is as follows: \"machine learning\", \"deep learning\", \"neural networks\", \"natural language processing\", \"cognitive computing\", \"computer vision\", \"reinforcement learning\", \"predictive analytics\", \"generative adversarial network\", \"Gans\", \"bot\", \"chatbot\", \"supervised learning\", \"unsupervised learning\", \"decision trees\", \"support vector\", \"natural language generation\", \"autonomous vehicles\", \"expert systems\", \"fuzzy logic\", \"Bayesian networks\", \"evolutionary algorithms\", \"swarm intelligence\", \"knowledge representation\", \"transfer learning\". Following the analysis, a mere 6% of the articles did not include any of the predetermined search terms. However, it is probable that these articles incorporated other terms pertinent to the semantic field of artificial intelligence which were not identified or considered in this second group of search criteria. Nevertheless, these articles were excluded from the general study, and they were included in the \"NoMention\" category to maintain a clear distinction in the results and to examine whether there were significant differences in trends among the categories. Figure 3: Distribution of articles by category of mention of artificial intelligence (noMention = 0 times, LowMention = 1 time, Mention = from 2 to 4 times, stroMention = more than 4 times). The results highlight that articles where the terms \"artificial intelligence\" and \"AI\" are not mentioned typically use more specific terms and are therefore more technical. Lastly, the tag \"artificial intelligence\" attributed to articles by _WIRED_ is employed to facilitate users' search and direct users.