Artificial Intelligence in Social Media

Sadiku, Matthew N. O.; Ashaolu, Tolulope Joshua; Ajayi-Majebi, Abayomi; Musa, Sarhan M.

doi:10.51542/ijscia.v2i1.4

Cited by 21 publications

(16 citation statements)

References 1 publication

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“…Our findings suggest that AI has the potential to usher in significant transformations in the advertising industry (Kietzmann et al, 2018; Sadiku et al, 2021), including effective Targeting, personalized ad delivery (Chen et al, 2019; Van Esch & Stewart Black, 2021), as well as Content Creation and Ad Optimization (Chen et al, 2019; Tong et al, 2020). Simultaneously, the ethical considerations stemming from AI applications in advertising (Gouda et al, 2020; Luccioni & Bengio, 2020) should not be overlooked.…”

Section: Discussionmentioning

confidence: 88%

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

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With the rapid advancement of artificial intelligence (AI) technology, the advertising industry is at a crossroads of new opportunities and challenges. This pioneering study provides an in-depth review of AI’s application in advertising, focusing especially on four key elements: Targeting, Personalization, Content Creation, and Ad Optimization. By delving deep into these areas, we uncover the potential of AI in revolutionizing the advertising sector. At the same time, we discuss the pressing ethical issues arising from the current applications of AI in advertising-related fields. Using the VOSviewer software, this study conducts an in-depth analysis of the literature, revealing the intrinsic connections of these four key elements in AI advertising based on computational advertising: Targeting and Personalization are closely linked, jointly determining who gets shown which advertisements. Content Creation generates appealing advertising content through AI during the Personalization process, while Ad Optimization relies on the outcomes of the first three elements, adjusting ad displays to achieve the highest return on investment. This research offers a fresh perspective on understanding AI’s application in advertising, aiding in the responsible and effective use of AI technology for superior ad delivery.

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Section: Discussionmentioning

confidence: 88%

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

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“…Although AI is widely deployed in social media, most applications are functional enhancements aimed at personalizing the service and optimizing the user experience for social media users. However, Sadiku's article, "Artificial Intelligence in Social Media," says that public relations departments and advertisers are making greater use of artificial intelligence in social media, such as accurate ad posting, user feedback collection, and analysis [7]. There needs to be mention of how AI can improve ad content and promote product marketing by stimulating positive emotions about ads from possible target users.…”

Section: Discussionmentioning

confidence: 99%

Utilize the Relationship Between Artificial Intelligence (AI) on Short Video Platforms and Users Self-conception to Guide Marketing Strategies

Sun

2023

LNEP

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Artificial intelligence is widely used in social media. When users use social media, AI has a positive or negative impact on users' self-perceptions. 2022 Jeff Hancock's crystal framework theory of algorithms indicates that short video platforms influence users' self-perceptions: know me well, real self, and community. The primary purpose of this study is to establish the relationship between artificial intelligence on social media and users' self-perceptions by drawing on Jeff Hancock's self-concept theory. The relationship between the two can be used to optimize the existing marketing strategy of advertising products on social media and to optimize the experience of social media users while effectively promoting the marketing products positively.

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“…Integrating AI into social media and influencer marketing has significantly transformed the view of marketing communications, offering novel and efficient ways to engage audiences, personalize content, and measure the impact of marketing efforts. This fusion of AI with social media strategies and influencer partnerships has enabled brands to leverage data-driven insights, automate processes, and enhance the overall effectiveness of their campaigns [71], [72], [73]. AI's role in social media marketing is multifaceted.…”

Section: Social Media and Influencer Marketingmentioning

confidence: 99%

Artificial Intelligence in Marketing Communication: A Comprehensive Exploration of the Integration and Impact of AI

Durmus Senyapar

2024

TSSJ

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This study investigates the transformative impact of artificial intelligence (AI) on marketing communications through an evaluation research approach. Focused on enhancing personalization, efficiency, and strategic insight, the study explores AI’s applications in content creation, customer service, social media, influencer marketing, and predictive analytics. The results reveal a paradigm transition in customer engagement and behaviour analysis, highlighting AI’s role in providing profound insights and facilitating real-time interactions. Personalized marketing and targeted advertising have evolved, with AI analysing vast datasets to craft tailored messages, significantly enhancing communication relevance. AI’s impact extends to content creation and curation, accelerating processes through natural language generation and improving content personalization. Moreover, AI-driven chatbots redefine customer service, providing 24/7 personalized support and actively contributing to marketing strategies. Social media and influencer marketing benefit from AI’s optimization of content delivery, personalization, and campaign impact measurement. The synergy between AI and predictive analytics anticipates consumer behavior, enabling precise targeting and optimizing the customer journey. The study concludes with implications for businesses, advocating strategic AI integration for sustained growth, and emphasizes the necessity of staying attuned to emerging AI innovations in future research. This research serves as a roadmap, guiding businesses toward successfully navigating the digital era’s evolving marketing communications view.

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Artificial Intelligence in Social Media

Cited by 21 publications

References 1 publication

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Utilize the Relationship Between Artificial Intelligence (AI) on Short Video Platforms and Users Self-conception to Guide Marketing Strategies

Artificial Intelligence in Marketing Communication: A Comprehensive Exploration of the Integration and Impact of AI

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