Journalists' employment of visual recognition systems as one of the tools of artificial intelligence in journalistic tasks: Google Lens Model

Author

Department of News Journalism, Faculty of Media , Ain Shams University

Abstract

This study aims to identify the extent to which journalists use visual recognition systems as one of the artificial intelligence tools in their journalistic tasks, by applying to the Google lens as one of the most famous applications, and for being generally, and monitoring the criteria for the spread of the Google lens among the respondents and identifying their attitudes towards visual recognition systems, within the framework of the theory of Diffusion of Innovations  )DOI)  and the theory of post humanism, the study relied on a sample of one hundred individuals registered in the Journalists Syndicate , using questionnaire as a scientific tool. The most important results are:
Google Lens is the most visual recognition application known to respondents at 75%, and the percentage of those who use it in some of their journalistic work came 53.9%. The main reasons for the respondents' use of the Google lens were in ease of use, translating texts directly through the camera, and identifying the objects that are seen throughout the day, there is a statistically significant relationship between the extent to which respondents use the Google lens in journalistic work and the criteria of spread (suitability, experiment ability, and observe ability), and was not achieved in comparative advantages and complexity. There are no statistically significant differences between respondents according to demographic factors (gender, age, and administrative position) in the criteria for the spread of the Google lens and the trend towards visual recognition systems using the camera of mobile phones.

Keywords


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