Consumer Trust in AI–Human News Collaborative Continuum: Preferences and Influencing Factors by News Production Phases

From Digital Culture & Society

Contents 1 Article Reference (APA) 1.1 Article Link & D.O.I. 2 Context 3 Overview 4 Strengths and Weaknesses 5 Assessment

[edit] Article Reference (APA)

Heim, S., & Chan-Olmsted, S. (2023). Consumer Trust in AI–Human News Collaborative Continuum: Preferences and Influencing Factors by News Production Phases. Journalism and Media, 4(3), 946–965.

[edit] Article Link & D.O.I.

DOI: https://doi.org/10.3390/journalmedia4030061

Permalink: https://ocul-bu.primo.exlibrisgroup.com/permalink/01OCUL_BU/p5aakr/cdi_doaj_primary_oai_doaj_org_article_bf26f4b4e62a4c668ca4e4a1b7ec24fb

[edit] Context

As AI becomes more and more relevant to the news industry and news media, the many uses of AI in news are starting to be closely examined. There are many examples of AI already being used in news content in the production stage, as well as the presentation stage and how news is currently being shared. These practices, however, have not been closely interlinked as AI is technically an outside tool that journalists and companies are taking advantage of rather than integrating to become an established part of the news industry. There is no concise and clear answer or belief on whether AI is overall beneficial to news media, neither within the industry nor in the general public. With people still feeling unsure about AI and its level of trust, there is not yet a consensus on what level of AI integration in news is too much to maintain trust or if AI integration can be trusted at all.

[edit] Overview

This article researched audiences to get a better feeling of how the public feels in regard to the use of AI in the news industry and whether they would be comfortable with further AI integration. They did so by collecting user data from a National online survey in the United States from a multitude of demographics and consolidating their responses to different categories to answer the questions they asked. The article goes deep into the use of their collected data and can come to a large number of conclusions as a result. They asked and answered the three research questions: 1) “What are the consumer perceptions of and preferences for AI applications during the main news production phases of discovery/information gathering and writing/editing, and what factors within the news production process play a role in shaping these perceptions and preferences?” 2)What factors affect consumer trust in news when AI is used in the news production process? 3)Which factors influence consumer intention to use the news as AI is used in the various phases of the production process? These questions gave them many topics to cover and many opportunities to explore relationships in their data.

[edit] Strengths and Weaknesses

Through their explanation of the questions that were asked to consumers, they made a good effort to explain which questions would contribute to answering each research question. They also branched out to three different research questions which helped them explore a wide variety of topics. They also used their data extensively by creating many data matrix tables that can explore almost any relationship found in the data. The article was also strong as they asked three research questions and answered them quickly afterward. They also used many figures that helped visualize their data that may not have been conveyed as well through text. One of the weaknesses of the article is that their data set may be too narrow considering they only collected from the United States. It may have been beneficial to collect from different parts of the world such as in Europe or Asia and see how the results may vary from region to region. They also had an online survey, which could have been better if they also conducted in-person surveys as people who would be navigating online may have a preset level of familiarity with AI which may vary drastically to someone who has little to no experience being online and especially with AI. Also, they acknowledged that they only conducted research under two general production phases in the news.

[edit] Assessment

This article overall was effective at answering their research questions with the data that was collected and they were able to explain their findings quite well. The article made a strong attempt at asking a wide variety of questions to people to gain a complete idea of how people generally feel about AI integration in the news. This article could have done better in some areas but came together for an effective conclusion.

Rm18xz 23:31, 8 December 2023 (EST)