Goto

Collaborating Authors

 influencer marketing


Computational Studies in Influencer Marketing: A Systematic Literature Review

Gui, Haoyang, Bertaglia, Thales, Goanta, Catalina, Spanakis, Gerasimos

arXiv.org Artificial Intelligence

Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influencer marketing remains fragmented, especially with limited systematic reviews covering the computational methodologies employed. This makes overarching scientific measurements in the influencer economy very scarce, to the detriment of interested stakeholders outside of platforms themselves, such as regulators, but also researchers from other fields. This paper aims to provide an overview of the state of the art of computational studies in influencer marketing by conducting a systematic literature review (SLR) based on the PRISMA model. The paper analyses 69 studies to identify key research themes, methodologies, and future directions in this research field. The review identifies four major research themes: Influencer identification and characterisation, Advertising strategies and engagement, Sponsored content analysis and discovery, and Fairness. Methodologically, the studies are categorised into machine learning-based techniques (e.g., classification, clustering) and non-machine-learning-based techniques (e.g., statistical analysis, network analysis). Key findings reveal a strong focus on optimising commercial outcomes, with limited attention to regulatory compliance and ethical considerations. The review highlights the need for more nuanced computational research that incorporates contextual factors such as language, platform, and industry type, as well as improved model explainability and dataset reproducibility. The paper concludes by proposing a multidisciplinary research agenda that emphasises the need for further links to regulation and compliance technology, finer granularity in analysis, and the development of standardised datasets.


How To Use AI In Social Media Marketing?

#artificialintelligence

Social media listening: AI tools can help businesses monitor social media channels for mentions of their brand, industry keywords, and other relevant topics. Customer service: AI chatbots can be used to answer customer questions and resolve issues on social media platforms in real-time. Content creation: AI-powered tools can help businesses create social media posts, including text, images, and videos. Audience targeting: AI can analyze user data to identify patterns and create targeted marketing campaigns to reach specific audiences on social media. Influencer marketing: AI can help businesses identify and engage with influencers who have a large following and can help promote their brand on social media.


How Artificial Intelligence Can Help In Instagram Marketing

#artificialintelligence

The use of artificial intelligence is fast spreading in the digital marketing industry including social media where Instagram belongs. Businesses are looking for ways to automate tasks, boost productivity, generate more leads, and make more sales. According to a report, the market of AI in social media is expected to hit $2.2 billion in 2023. This is to tell you that social media marketers are investing in AI to make smart decisions and achieve higher ROI. Are you skeptical about leveraging AI in Instagram marketing?


Council Post: How AI Is Disrupting The Content Creation Economy

#artificialintelligence

SmartClick builds deep tech innovations based on artificial intelligence & machine learning. As traditional methods of reaching a mass audience dry up or become too competitive, it gets challenging to find and nurture the audience who are more likely to transmit your content and take action. With the rise of the internet, the media landscape has changed significantly, paving the way for millions of content creators who have shaped the creator economy space. And, like with any trend that gets popular quickly, the creator economy is revolutionizing marketing and business strategies as more brands now rely on trusted online personalities to become advocates who spread their brand message. The creator economy skyrocketed even further with the rapid growth of artificial intelligence technology that has amplified the industry's possibilities making it easier for creators to produce better content.


The Rise of AI Influencers: How are they Impacting AI Adoption?

#artificialintelligence

Influencer marketing is not an unknown phenomenon. For years, small and large-scale brands have used influencers to promote their brands on social media platforms and reach generations of customers. Influencer marketing has become a driving force behind the communication strategies for various companies. Generally, bigger brands are engaging more with influencers, as consumers are turning to Twitter, Instagram, and YouTube for everything. The rise of AI influencers has entirely changed the concept of influencer marketing.


Coming Soon In Marketing

#artificialintelligence

As a marketer or a business owner in today's digital world, nothing is more important than forecasting. Knowing the marketing industry, the trends, and the issues that you will face gives you a great competitive advantage. Marketers should know how to stay up to date on new trends and the constantly changing marketing landscape. Forecasting the future of marketing and being the first to give the people what they really want will take you nowhere but the top -- Exactly where you belong. Is there anything better than that?


Future of Digital Marketing

#artificialintelligence

Companies in industries like retail, banking, and healthcare are now starting to use computing in their marketing attempts While AI is generally used in marketing automation to automate essential tasks like reporting on website traffic and suggesting keywords that will optimize a company's primary search outcomes, marketers While AI is generally utilized in marketing automation to automate basic tasks like reporting on website traffic and recommending keywords that will optimize a company's organic search results, marketers are exploring AI applications that may predict what customers are likely to shop for within the future supported their past purchases and browsing history. In 2022, look at ways to use AI together with SEO and other digital marketing strategies. You'll be surprised at what AI can accomplish and how it's going to be a gamechanger in this digital era Valued at $9 billion in 2020, the influencer market is estimated to achieve $15 billion by 2022, with the bulk of marketers reporting that they budget quite 20 percent of their spend on influencer content. Many streamers, vloggers, comedians, chess players, gamers will join these influencer markets in huge numbers within a very short period. Should we return to events that happen only within a physical location?


Best Digital Marketing Techniques to Be Used In 2022

#artificialintelligence

The year 2022 is just around the corner, ready to hit marketers with a number of expected and unexpected digital trends that will set the landscape for the future of digital marketing. And even in the year 2021, among all the hassle, we still managed to witness a lot of changes including- the rise of TikTok among Gen Z users, the fluctuation in the NFTs and cryptocurrency market became the center of discussion among the future of finance. On the top, Google announced that it would phase out the third-party cookies by the year 2023, leaving many marketers and digital marketing service providers wondering how they will navigate their channels to reach out to target customers. In short, there are a lot of changes and developments in the world of digital marketing techniques that will directly impact the way we engage and communicate with our audience. To help you understand all the changes that are about to unfold in the new year, we have broken down the top 8 digital marketing techniques to be aware of in 2022.


The Impact Of Artificial Intelligence On Influencer Marketing

#artificialintelligence

In October 2017, Facebook altered the Instagram API to make it harder for users to search its giant database of photos. The change was a small element of the company's response to the Cambridge Analytica scandal, but it was a significant problem for parts of the Digital marketing industry. Not long before, New York-based influencer marketing agency Amra & Elma had developed a platform that ingested data from Instagram, and allowed its client to use AI image classifiers to find very specific influencers. For instance, they could find an influencer with, say, between 10,000 and 50,000 followers who had posted photos of themselves in a Jeep. Facebook's move killed this capability in a keystroke. Another day in the digital duel between the AIs deployed by digital marketers, and those deployed by the social media platforms.


5 Significant Ways Artificial Intelligence That Revolutionizing Influencer Marketing - ONPASSIVE

#artificialintelligence

Businesses have a definite necessity to market their products and services to face the tough competition in the market. Marketing options do lie to serve the purpose. Of course, many influential platforms are available to best gain user attention. Businesses adopting influential marketing are likely to make more sales and build a reputation. Influential people can create an excellent impact on the audience.