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Artificial Intelligence in Marketing: From Computer Science to Social Science
7 references·1 citing·36 second hop
Artificial Intelligence in Marketing: From Computer Science to Social Science (2024)Artificial Intelligence in Marketing: Fro…On the conversational persuasiveness of GPT-4 (2025)On the conversational persuas…The potential of generative AI for personalized persuasion at scale (2024)The potential of generative A…AI is Changing the World: For Better or for Worse? (2024)AI is Changing the World: For…Artificial Influence: An Analysis Of AI-Driven Persuasion (2023)Artificial Influence: An Anal…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb (2021)Frontiers: Can an Artificial …Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019)Algorithmic Bias? An Empirica…Artificial Intelligence, Structure of Knowledge, and the Future Directions for Macromarketing (2025)Artificial Intelligence, Struc…Male-Female Wage Differentials in Urban Labor Markets (1973)A Grand Gender Convergence: Its Last Chapter (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)A strategic framework for artificial intelligence in marketing (2020)A Survey on Bias and Fairness in Machine Learning (2021)Algorithmic bias: review, synthesis, and future research directions (2021)What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments (2006)Algorithmic Fairness (2018)Race and Economic Opportunity in the United States: an Intergenerational Perspective* (2019)Algorithmic fairness in business analytics: Directions for research and practice (2022)Algorithmic management in the gig economy: A systematic review and research integration (2024)Human-AI coevolution (2024)The theory of planned behavior (1991)A very brief measure of the Big-Five personality domains (2003)Common method biases in behavioral research: A critical review of the literature and recommended remedies. (2003)Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity (2024)Generative AI enhances individual creativity but reduces the collective diversity of novel content (2024)The power of generative marketing: Can generative AI create superhuman visual marketing content? (2024)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness (2014)The role of data privacy in marketing (2016)Commentary on “AI is Changing the World: For Better or for Worse?” (2024)How generative AI Is shaping the future of marketing (2024)Managing the Twin Faces of AI: A Commentary on “Is AI Changing the World for Better or Worse?” (2024)Race Against the Machine (2011)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Trustworthy AI: From Principles to Practices (2022)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Private traits and attributes are predictable from digital records of human behavior (2013)On the Opportunities and Risks of Foundation Models (2021)“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health (2024)Scaling language model size yields diminishing returns for single-message political persuasion (2025)The benefits and dangers of anthropomorphic conversational agents (2025)Artificial Intelligence and Business Value: a Literature Review (2021)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)
this work references cited by second hop

References

  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,192 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads887 cited
  • 2024The potential of generative AI for personalized persuasion at scale311 cited
  • 2025On the conversational persuasiveness of GPT-4282 cited
  • 2021Frontiers: Can an Artificial Intelligence Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb110 cited
  • 2024AI is Changing the World: For Better or for Worse?54 cited
  • 2023Artificial Influence: An Analysis Of AI-Driven Persuasion20 cited

Cited by

  • 2025Artificial Intelligence, Structure of Knowledge, and the Future Directions for Macromarketing12 cited

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