Author(s): Mohammad Shafiq Obeidat, Pakinam Nazmy and Syed Rizvi
Purpose: Advertising is now pervasive, and customers may see it on a wide range of media, including billboards, television advertisements, social media, and website banners. As a result, it is getting harder to produce content that engages the target audience. AI-Generated Content (AGC) can help content writers and advertisers overcome such issues. Despite the potential advantages of AGC, little empirical data exists about how its tone of voice affects consumers' trust in and interest in advertising. Thus, the purpose of the study is to determine how four different tones of voice formal, informal, passionate, and humorous affect customers' interest and trust. Design: To gather pertinent data for this study, a survey experiment was developed. An online poll was done using SurveyMonkey to illustrate the use and significance of the linguistics of AI-generated content for advertising. Furthermore, because the study contains four variables that are tested using the same respondents, the obtained data was subjected to a repeated measures ANOVA. Findings: According to the findings, client trust and engagement are significantly impacted by the tone of voice used in AI-generated advertisements. While hilarious tones boost engagement, formal tones improve trust. The difference between a casual and an excited tone is little. To maximize the influence on consumer behavior, businesses should adopt a tone that is appropriate for their brand and target market. Originality: to help businesses better understand the impact of the tone of voice they employ in their AI-generated ad material on consumer’s trust and interest. Allow businesses to match the tone of voice they use to their brand and target demographic to maximize its influence on consumer behavior.