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A review of policy levers to reduce meat production and consumption
C Bryant, A Couture, E Ross, A Clark, T Chapman - Appetite, 2024 - Elsevier
It is increasingly apparent that we require a substantial reduction in animal production and
consumption for the sake of the environment and public health. In this paper, we conducted …
consumption for the sake of the environment and public health. In this paper, we conducted …
Machine learning and marketing: A systematic literature review
Even though machine learning (ML) applications are not novel, they have gained popularity
partly due to the advance in computing processing. This study explores the adoption of ML …
partly due to the advance in computing processing. This study explores the adoption of ML …
The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
Conversational artificial intelligence (AI) disrupts how humans interact with technology.
Recently, OpenAI introduced ChatGPT, a state-of-the-art dialogue model that can converse …
Recently, OpenAI introduced ChatGPT, a state-of-the-art dialogue model that can converse …
Machine learning and AI in marketing–Connecting computing power to human insights
Artificial intelligence (AI) agents driven by machine learning algorithms are rapidly
transforming the business world, generating heightened interest from researchers. In this …
transforming the business world, generating heightened interest from researchers. In this …
Sentiment analysis in the age of generative AI
JO Krugmann, J Hartmann - Customer Needs and Solutions, 2024 - Springer
In the rapidly advancing age of Generative AI, Large Language Models (LLMs) such as
ChatGPT stand at the forefront of disrupting marketing practice and research. This paper …
ChatGPT stand at the forefront of disrupting marketing practice and research. This paper …
Uniting the tribes: Using text for marketing insight
Words are part of almost every marketplace interaction. Online reviews, customer service
calls, press releases, marketing communications, and other interactions create a wealth of …
calls, press releases, marketing communications, and other interactions create a wealth of …
[HTML][HTML] Algorithmic bias in machine learning-based marketing models
This article introduces algorithmic bias in machine learning (ML) based marketing models.
Although the dramatic growth of algorithmic decision making continues to gain momentum in …
Although the dramatic growth of algorithmic decision making continues to gain momentum in …
How sensory language shapes influencer's impact
Influencer marketing has become big business. But while influencers have the potential to
spread marketing messages and drive purchase, some posts get lots of engagement and …
spread marketing messages and drive purchase, some posts get lots of engagement and …
[HTML][HTML] Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
The current expansion of theory and research on artificial intelligence in management and
organization studies has revitalized the theory and research on decision-making in …
organization studies has revitalized the theory and research on decision-making in …
[HTML][HTML] More than a feeling: Accuracy and application of sentiment analysis
Sentiment is fundamental to human communication. Countless marketing applications mine
opinions from social media communication, news articles, customer feedback, or corporate …
opinions from social media communication, news articles, customer feedback, or corporate …