A Review of Artificial Intelligence Research in Peer-Reviewed Communication Journals
Source abstract
Abstract
This study analyzes artificial intelligence (AI) research in communication scholarship through a content analysis of published articles between 2006 and 2022. It aims to understand the status of AI research between 2006 and 2022 and identify directions for future inquiry. Findings indicate that the number of articles about AI has increased over the years and scholars should continue applying existing theoretical frameworks or proposing new ones to investigate diverse topics across cultural and sociopolitical contexts.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Computational and Text Analysis Methods · AI in Service Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Communication, North Carolina State University, Raleigh, NC 27695, USA
Funding
Global International Seed Grant, North Carolina State University
References (100+)
Show source-provided references
1. Anyoha, R. (2024, March 28). The History of Artificial Intelligence. Available online: https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/.
2. Jasminara (2023, May 08). Historical Evolution of AI in Marketing. Available online: https://www.linkedin.com/pulse/historical-evolution-ai-marketing-syed-jasminara/.
3. Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions
4. Robots in the news and newsrooms: Unpacking meta-journalistic discourse on the use of artificial intelligence in journalism
5. Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education
6. Exo journalism: A conceptual approach to a hybrid formula between journalism and artificial intelligence
7. Preparing for an era of deepfakes and ai-generated ads: A framework for understanding responses to manipulated advertising
8. How deepfakes and artificial intelligence could reshape the advertising industry10.2501/JAR-2022-017 ↗
9. Media use, interpersonal communication, and attitudes toward artificial intelligence10.1177/10755470221130307 ↗
10. Artificial intelligence and mass personalization of communication content—An ethical and literacy perspective
11. The status of Internet-based research in five leading communication journals, 1994–1999
12. Shashkevich, A. (2024, March 30). Ancient Myths Reveal Early Fantasies About Artificial Life. Available online: https://news.stanford.edu/2019/02/28/ancient-myths-reveal-early-fantasies-artificial-life/.
13. (2024, April 04). Artificial Intelligence (AI) Coined at Dartmouth|Dartmouth. (n.d.). Available online: https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth.
14. What is it about humanity that we can’t give away to intelligent machines? A European perspective10.1016/j.ijinfomgt.2021.102311 ↗
15. AI-mediated communication: Definition, research agenda, and ethical considerations10.1093/jcmc/zmz022 ↗
16. Artificial companions, social bots and work bots: Communicative robots as research objects of media and communication studies10.1177/0163443720916412 ↗
17. Hohenstein, J., Kizilcec, R.F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J., and Jung, M.F. (2023). Artificial intelligence in communication impacts language and social relationships. Sci. Rep., 13.10.1038/s41598-023-30938-9 ↗
18. Rethinking communication in the era of artificial intelligence10.1093/hcr/hqac014 ↗
19. Artificial intelligence and communication: A Human-Machine Communication research agenda10.1177/1461444819858691 ↗
20. How do AI-driven chatbots impact user experience? Examining gratifications, perceived privacy risk, satisfaction, loyalty, and continued use10.1080/08838151.2020.1834296 ↗
21. Does artificial intelligence satisfy you? A meta-analysis of gratifications and user experience of AI-powered chatbots10.1080/10447318.2022.2121458 ↗
22. AI-Based modeling: Techniques, applications and research issues towards automation, intelligent and smart systems10.1007/s42979-022-01043-x ↗
23. Artificial intelligence and journalism
24. Responsible media technology and AI: Challenges and research directions
25. West, D.M., and Allen, J.R. (2024, December 15). How Artificial Intelligence is Transforming the World|Brookings. Available online: https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-the-world/.
26. Artificial intelligence in news media: Current perceptions and future outlook
27. Customer–brand relationship in the era of artificial intelligence: Understanding the role of chatbot marketing efforts
28. A strategic framework for artificial intelligence in marketing
29. Deepfakes: Deceptions, mitigations, and opportunities10.1016/j.jbusres.2022.113368 ↗
30. Using a chatbot to combat misinformation: Exploring gratifications, chatbot satisfaction and engagement, and relationship quality
31. Harwell, D. (2024, April 04). In the Race to Detect Deepfakes, AI Researchers Say They Are “Outgunned”. Available online: https://www.washingtonpost.com/technology/2019/06/12/top-ai-researchers-race-detect-deepfake-videos-we-are-outgunned/.
32. Artificial Intelligence and Its Ethical Implications for Marketing10.28991/ESJ-2023-07-02-01 ↗
33. The state of internet-related research in communications, marketing, and advertising: 1994–200310.2753/JOA0091-3367350309 ↗
34. Lumenalta (2024, August 15). What Are the Different Types of AI? (Updated 2024). Available online: https://lumenalta.com/insights/what-are-the-different-types-of-ai.
35. The status of diversity research in public relations: An analysis of published articles
36. A content analysis of content analyses: Twenty-five years of Journalism Quarterly
37. Web of Science as a data source for research on scientific and scholarly activity10.1162/qss_a_00018 ↗
38. Google Scholar compared to Web of Science: A literature review
39. Dixon, S. (2024, July 10). Most Popular Social Networks Worldwide as of April 2024, by Number of Monthly Active Users. Available online: https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/.
40. A systematic review of systematic review process research in software engineering10.1016/j.infsof.2013.07.010 ↗
41. Humanoid social robots as a medium of communication10.1177/1461444806061951 ↗
42. Has crisis communication been studied using an interdisciplinary approach? A 20-year content analysis of communication journals10.1080/1553118X.2013.850694 ↗
43. The status of corporate social responsibility research in public relations: A content analysis of published articles in eleven scholarly journals from 1980 to 201510.1016/j.pubrev.2016.10.001 ↗
44. Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology, Sage Publications.10.4135/9781071878781 ↗
45. Harnessing the power of chatbot social conversation for organizational listening: The impact on perceived transparency and organization-public relationships10.1080/1062726X.2022.2068553 ↗
46. Deepfakes on Twitter: Which actors control their spread?10.17645/mac.v9i1.3433 ↗
47. Conjecturing fearful futures: Journalistic discourses on deepfakes
48. Demystifying social bots: On the intelligence of automated social media actors10.1177/2056305120939264 ↗
49. Polarized platforms? How partisanship shapes perceptions of “algorithmic news bias”10.1177/14614448211034159 ↗
50. Recorded business meetings and AI algorithmic tools: Negotiating privacy concerns, psychological safety, and control10.1177/23294884211037009 ↗
51. Smart speakers require smart management: Two routes from user gratifications to privacy settings
52. Authentically fake? How consumers respond to the influence of virtual influencers10.1080/00913367.2022.2149641 ↗
53. Lim, S., and Shim, H. (2022). No secrets between the two of us: Privacy concerns over using AI agents. Cyberpsychol. J. Psychosoc. Res. Cyberspace, 16.10.5817/CP2022-4-3 ↗
54. Putting the “Me” in endorsement: Understanding and conceptualizing dimensions of self-endorsement using intelligent personal assistants10.1177/1461444820912197 ↗
55. Artificial intelligence: A strategic disruption in public relations10.1177/0973258619866585 ↗
56. Public relations and artificial intelligence: It’s not (just) about robots10.1016/j.pubrev.2018.10.008 ↗
57. Understanding Twitter conversations about artificial intelligence in advertising based on natural language processing10.1080/02650487.2021.1920218 ↗
58. Nilsson, N.J. (2010). The Quest for Artificial Intelligence: A History of Ideas and Achievements, Cambridge University Press.
59. What to expect when you’re expecting robots: Futures, expectations, and pseudo artificial general intelligence in UK news10.1177/1464884920947535 ↗
60. Igartua, J.-J., González-Vázquez, A., and Arcila-Calderón, C. (2022). Using testimonial narratives to persuade people about artificial intelligence: The role of attitudinal similarity with the protagonist of the message. Prof. Inf., 31.10.3145/epi.2022.jul.09 ↗
61. “Siri, show me scary images of AI”: Effects of text-based frames and visuals on support for artificial intelligence10.1177/1075547021998069 ↗
62. The impact of AI on the advertising process: The Chinese experience10.1080/00913367.2019.1652122 ↗
63. Artificial intelligence in advertising creativity10.1080/00913367.2020.1843090 ↗
64. Invisible friend or foe? How journalists use and perceive algorithmic-driven tools in their research process
65. Public service chatbots: Automating conversation with BBC News
66. Automation, journalism, and human–machine communication: Rethinking roles and relationships of humans and machines in news
67. From data journalism to artificial intelligence: Challenges faced by La Nación in implementing computer vision in news reporting
68. The non-substitutability of local news? Advertising and the decline of journalism’s umbrella market model10.2478/nor-2021-0001 ↗
69. Artificial intelligence and journalism: An agenda for journalism research in Africa
70. Reconstruction of news production driven by artificial intelligence in China
71. Impact of Artificial Intelligence on Journalism: Transformations in the company, products, contents and professional profile10.15581/003.34.1.177-193 ↗
72. Facebook use as a communicative relation: Exploring the relation between Facebook users and the algorithmic news feed10.1080/1369118X.2020.1718179 ↗
73. The perception of humanness in conversational journalism: An algorithmic information-processing perspective10.1177/1461444821993801 ↗
74. AI agency vs. human agency: Understanding human–AI interactions on TikTok and their implications for user engagement10.1093/jcmc/zmac014 ↗
75. Public perceptions and attitudes towards the application of artificial intelligence in journalism: From a China-based survey
76. Safeguarding the journalistic DNA: Attitudes towards the role of professional values in algorithmic news recommender designs
77. Friend or foe? Human journalists’ perspectives on artificial intelligence in Chinese media outlets10.1080/17544750.2021.1915832 ↗
78. Berger, C.R., and Roloff, M.E. (2016). Expectations violation theory. The International Encyclopedia of Interpersonal Communication, John Wiley & Sons, Inc.
79. The inexorable rise of the robots: Trade journals’ framing of machinery in the workplace10.1177/1464884920969078 ↗
80. Contested Chinese dreams of AI? Public discourse about artificial intelligence on WeChat and People’s Daily Online10.1080/1369118X.2020.1776372 ↗
81. A ‘New Arms Race’? Framing China and the U.S.A. in A.I. News Reporting: A Comparative Analysis of the Washington Post and South China Morning Post10.1177/20594364221078626 ↗
82. How can we fight partisan biases in the COVID-19 pandemic? AI source labels on fact-checking messages reduce motivated reasoning10.1080/15205436.2022.2097926 ↗
83. Making up audience: Media bots and the falsification of the public sphere10.1080/10510974.2020.1735466 ↗
84. The one thing journalistic AI just might do for democracy
85. Exploring the association between use of conversational artificial intelligence and social capital: Survey evidence from Hong Kong10.1177/14614448221074047 ↗
86. In search of the Global South: Assessing attitudes of Latin American journalists to artificial intelligence in journalism
87. Communication and artificial intelligence: Opportunities and challenges for the 21st century
88. Implications & impact of artificial intelligence in digital media: With special focus on social media marketing10.1051/e3sconf/202339907006 ↗
89. Research trends on the usage of machine learning and artificial intelligence in advertising10.1007/s41133-020-00038-8 ↗
90. Chkoniya, V. (2021). The Future of Advertising: Influencing and Predicting Response through Artificial Intelligence, Machine Learning, and Neuroscience. Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, IGI Global Scientific Publishing.
91. Understanding AI advertising from the consumer perspective what factors determine consumer appreciation of AI-created advertisements?10.2501/JAR-2021-004 ↗
92. Zhao, L. (2022, January 27–29). Efficiency enhancement and mode change of intelligent media communication under the interaction of artificial intelligence technology. Proceedings of the ICMSSP ’22: Proceedings of the 2022 7th International Conference on Multimedia Systems and Signal Processing, Shenzhen China.10.1145/3545822.3545834 ↗
93. What Generative AI Means for the Media Industries, and Why it Matters to Study the Collective Consequences for Advertising, Journalism, and Public Relations10.1177/27523543241289239 ↗
94. Does research on digital public relations indicate a paradigm shift? An analysis and critique of recent trends10.1016/j.tele.2016.08.012 ↗
95. Social media research in advertising, communication, marketing, and public relations, 1997–2010
96. Cropley, A. (2024, December 15). The Evolution of AI in Strategic Communication: Exploring the Opportunity. Center for Strategic Communication Excellence. Available online: https://thecsce.com/resources/the-evolution-of-ai-in-strategic-communication-exploring-the-opportunity/.
97. Bergmann, D. (2024, February 09). The Most Important AI Trends in 2024. Available online: https://www.ibm.com/think/insights/artificial-intelligence-trends.
98. Stryker, C., and Holdsworth, J. (2024, August 11). What Is NLP?. Available online: https://www.ibm.com/think/topics/natural-language-processing.
99. Advancements in natural language processing: Implications, challenges, and future directions10.1016/j.teler.2024.100173 ↗
100. Botelho, S. (2024, September 09). AI and Content Creation in 2024: Key Trends, Benefits, and Time-Saving Prompts. Available online: https://www.smartcore-digital.com/en/resources/Blog-page/ai-and-content-creation-in-2024.html.