Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing-Reference-Cited by-同舟云学术

Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing

Published:2021-05-08 Issue: Volume: Page:1-18
ISSN:0265-0487
Container-title:International Journal of Advertising
language:en
Short-container-title:International Journal of Advertising

Author:

Wu Linwan¹^ORCID,Dodoo Naa Amponsah²,Wen Taylor Jing¹,Ke Li³

Affiliation:

1. School of Journalism and Mass Communications, College of Information and Communications, University of South Carolina, Columbia, SC, USA

2. Marketing Communication Department, Emerson College, Boston, MA, USA

3. Independent Researcher

Publisher

Informa UK Limited

Subject

Marketing,Communication

Link

https://www.tandfonline.com/doi/pdf/10.1080/02650487.2021.1920218

Reference54 articles.

1. From Purchasing Exposure to Fostering Engagement: Brand–Consumer Experiences in the Emerging Computational Advertising Landscape

2. Understanding Programmatic Creative: The Role of AI

3. Chen, H., S. Chan-Olmsted, J. Kim, and I. Sanabria. 2020. Consumers’ perception on Artificial Intelligence applications in marketing communication. Paper presented at 2020 AEJMC Annual Conference.

4. Clement, J. 2020a. Most popular mobile social networking apps in the United States as of September 2019, by monthly users. Statista. https://www.statista.com/statistics/248074/most-popular-us-social-networking-apps-ranked-by-audience/

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