Talk:Artificial Intelligence and Digital Marketing

Peer Review

Length

The article is about 2000 words, so it needs to be 1000 words longer to meet the word count requirement. As of right now, the article would lose points on the final draft for not reaching the required amount of words. However, it is clear the author is still in the process of writing the article because there is a section that hasn't been written yet. The word count will probably be met after the final section is completed.

Structure

After reading, I believe this article does include the 3 major components of a good article. The opening paragraph does a good job of summarizing the relationship between artificial intelligence and marketing. It does well giving an overview of what the article is going to be about, and gives a solid basic outline about artificial intelligence and marketing. Since later in the article there is a section on history, it might be a good idea to make a brief reference to the early history in the opening paragraph. The body is well structured, and well split into multiple sections. The article has a History section with the subsections Web 1.0, Web 2.0, Web 3.0, and Growth of the Digital Marketing Industry. The next main section is AI Integration into Digital Marketing with the subsections Cookies, Targeted Marketing, Micro-Influencers, and Chatbots. Another section is Ethical Concerns which has the subsections Big Tech Privacy Scandals and Exclusion of Underrepresented Groups. Finally, the last section is Government Involvement. Each section is a good length, and the paragraphs are split well. The article also contains a references section with all of the references used during the research. Any statements used in the article are backed up by references to reliable sources.

Clarity

The issue at stake is clear to me. The article discusses the ethical issues with data collection and how it affects consumers. I think it does a good job explaining how consumers do not feel comfortable sharing data with different companies, and connecting it to how companies now have to put a lot of emphasis on protecting user data. I also think it does a good job discussing the ways big tech companies have handled user data improperly.

Objective reporting (Neutral point of view)

The article does a good job reporting on ethical issues and controversies objectively, and the author does not state personal opinions. In sections where there are multiple perspectives on a specific issue, each perspective is covered and given equal attention. The article does not make any argument, it just describes the issue at hand. Again, throughout the article, all statements are backed up by references.