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    Transparent Peer Review By Scholar9

    IMPACT OF ARTIFICIAL INTELLIGENCE IN SOCIAL MEDIA MARKETING

    Abstract

    Artificial Intelligence (AI) is a branch of computer science that enables machines to mimic human intelligence and behavior. In recent years, AI has been employed to address some of the world’s most complex social challenges, and its role in social media marketing has grown significantly. Social media platforms such as Facebook, WhatsApp, Instagram, Twitter, YouTube, and Pinterest are leveraging AI to optimize marketing strategies. This paper explores the diverse AI tools used in social media marketing and assesses their impact on the industry. Key areas of exploration include content recommendations, ad targeting, chatbots, and competitor analysis, all of which are revolutionizing how brands interact with consumers.

    Reviewer Photo

    Sandhyarani Ganipaneni Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Sandhyarani Ganipaneni Reviewer

    11 Oct 2024 12:43 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The research article addresses a highly relevant topic in today's digital landscape, where social media and artificial intelligence (AI) intersect to transform marketing strategies. The originality of the work lies in its focus on the practical applications of AI tools within various social media platforms, showcasing how these technologies are employed to tackle complex challenges in marketing. By emphasizing diverse tools such as content recommendations, ad targeting, chatbots, and competitor analysis, the paper contributes to the understanding of AI's transformative potential in enhancing brand-consumer interactions.


    Methodology

    While the article effectively outlines the key areas where AI is impacting social media marketing, it lacks a detailed methodology section that explains how the research was conducted. Clarifying whether the study is based on qualitative analyses, case studies, or quantitative data would strengthen its credibility. Additionally, providing insights into the data sources, tools, or frameworks used for assessment would enhance the overall rigor of the research and allow for reproducibility by other scholars in the field.


    Validity & Reliability

    The assertions regarding the impact of AI tools on social media marketing are intriguing; however, the article would benefit from empirical evidence or case studies that substantiate these claims. Including data, statistics, or examples of successful AI implementations in marketing would bolster the validity of the findings. Furthermore, discussing potential limitations and biases in the application of AI in marketing could provide a more balanced view, enhancing the reliability of the conclusions drawn.


    Clarity and Structure

    The article is generally well-structured and presents its ideas clearly. However, incorporating headings and subheadings could improve navigation and comprehension for the reader. Each section could benefit from a more defined focus, allowing for better organization of concepts. Additionally, the inclusion of visual aids, such as charts or infographics, could help illustrate the impact of AI tools on marketing strategies, thereby enhancing clarity and engagement.


    Result Analysis

    The paper provides a broad overview of AI tools in social media marketing but lacks a thorough analysis of specific results and outcomes associated with their use. Quantifying the effectiveness of these tools—such as improvements in engagement rates, conversion rates, or customer satisfaction—would provide valuable insights into their real-world impact. Discussing future trends and challenges in the integration of AI in social media marketing could also enrich the analysis and offer a forward-looking perspective on this evolving field.

    Publisher Logo

    IJ Publication Publisher

    done madam

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Sandhyarani

    Sandhyarani Ganipaneni

    More Detail

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    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    TIJER - Technix International Journal for Engineering Research External Link

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    p-ISSN

    Info Icon

    e-ISSN

    2349-9249

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