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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

    Shyamakrishna Siddharth Chamarthy Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Shyamakrishna Siddharth Chamarthy Reviewer

    11 Oct 2024 12:13 PM

    badge Not Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The research article effectively highlights the growing significance of Artificial Intelligence (AI) in social media marketing, which is a highly relevant topic given the rapid advancements in technology and the increasing reliance on digital platforms by businesses. By focusing on specific AI applications like content recommendations, ad targeting, chatbots, and competitor analysis, the article demonstrates originality in its exploration of how these tools are transforming marketing strategies. The emphasis on addressing complex social challenges through AI applications in marketing adds a compelling dimension to the study, making it timely and pertinent to both academics and industry professionals.


    Methodology

    While the article discusses various AI tools used in social media marketing, it lacks a detailed explanation of the methodologies employed to gather data and analyze the effectiveness of these tools. Providing insights into how the research was conducted—whether through case studies, surveys, or experimental methods—would enhance the credibility of the findings. Additionally, outlining the criteria used for selecting the tools discussed would strengthen the research's methodological rigor and allow readers to understand the scope of the analysis better.


    Validity and Reliability

    To strengthen the validity and reliability of the claims made regarding the impact of AI in social media marketing, the article should incorporate specific data or metrics that illustrate the effectiveness of the AI tools discussed. Including evidence from case studies, such as increased engagement rates or conversion metrics resulting from AI-driven strategies, would provide a solid foundation for the assertions. Moreover, addressing any potential biases or limitations in the analysis, such as variations in platform performance or consumer demographics, would enhance the reliability of the research.


    Clarity and Structure

    The article is well-structured, clearly outlining the key areas of exploration related to AI in social media marketing. However, it could benefit from a more systematic presentation of information. For instance, using subheadings to separate sections on different AI applications would improve readability. Additionally, simplifying complex terminology and providing definitions for technical terms would make the content more accessible to a wider audience. A concise introduction outlining the objectives of the paper would further enhance clarity.


    Result Analysis

    The article provides a solid overview of the AI tools employed in social media marketing, but it falls short in delivering a comprehensive analysis of their results and impacts. To enrich the discussion, the inclusion of specific case studies demonstrating successful implementation of these tools, along with quantitative results, would be valuable. Additionally, examining the potential challenges or drawbacks of using AI in marketing, such as ethical considerations or consumer privacy concerns, would offer a more balanced perspective. Highlighting future trends in AI applications within social media marketing could also provide readers with insights into the evolving landscape of the industry.

    Publisher Logo

    IJ Publication Publisher

    thank you sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Shyamakrishna Siddharth

    Shyamakrishna Siddharth Chamarthy

    More Detail

    Category Icon

    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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